Earth Engine's public data catalog includes a variety of standard Earth science raster datasets. You can import these datasets into your script environment with a single click. You can also upload your own [raster data](https://developers.google.com/earth-engine/asset_manager) or vector data for private use or sharing in your scripts. Looking for another dataset not in Earth Engine yet? Let us know by [suggesting a dataset](https://developers.google.com/earth-engine/help.md.txt#dataset_requests). - |---| | [### 2000 Greenland Mosaic - Greenland Ice Mapping Project (GIMP) ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_2000_IMAGERY_MOSAIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_2000_IMAGERY_MOSAIC.md.txt) | | This dataset provides a complete 15 m resolution image mosaic of the Greenland ice sheet derived from Landsat 7 ETM+ and RADARSAT-1 SAR imagery from the years 1999 to 2002. The methods include a combination of image cloud masking, pan sharpening, image sampling and resizing, ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polar](https://developers.google.com/earth-engine/datasets/tags/polar.md.txt) | - |---| | [### AERDB_D3_VIIRS_NOAA20.002: VIIRS/NOAA-20 Deep Blue Aerosol Optical Depth Daily L3 Global 1.0 Deg Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_AERDB_D3_VIIRS_NOAA20_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_AERDB_D3_VIIRS_NOAA20.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Deep Blue Level-3 Daily Global 1-Degree Gridded product (AERDB_D3_VIIRS_NOAA20) provides daily global gridded aerosol parameters derived from the NOAA-20 (JPSS-1) VIIRS sensor. Data are generated using the Deep Blue (DB) algorithm over land and the Satellite Aerosol for ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aot](https://developers.google.com/earth-engine/datasets/tags/aot.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### AERDB_D3_VIIRS_SNPP.002: VIIRS/SNPP Deep Blue Aerosol Optical Depth Daily L3 Global 1.0 Deg Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_AERDB_D3_VIIRS_SNPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_AERDB_D3_VIIRS_SNPP.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Deep Blue Level-3 Daily Global 1-Degree Gridded product (AERDB_D3_VIIRS_SNPP) provides daily global gridded aerosol parameters derived from the Suomi National Polar-orbiting Partnership (SNPP) VIIRS sensor. Data are generated using the Deep Blue (DB) algorithm over land and the ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aot](https://developers.google.com/earth-engine/datasets/tags/aot.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### AG100: ASTER Global Emissivity Dataset 100-meter V003 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ASTER_GED_AG100_003_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ASTER_GED_AG100_003.md.txt) | | The Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Emissivity Database (ASTER-GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. This product includes the mean emissivity and standard deviation for all 5 ASTER Thermal Infrared ... | | [aster](https://developers.google.com/earth-engine/datasets/tags/aster.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [infrared](https://developers.google.com/earth-engine/datasets/tags/infrared.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) | - |---| | [### AHN Netherlands 0.5m DEM, Interpolated ![](https://developers.google.com/earth-engine/datasets/images/AHN/AHN_AHN2_05M_INT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AHN_AHN2_05M_INT.md.txt) | | The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012. It contains ground level samples with all other items above ground (such as buildings, bridges, trees etc.) removed. This version is ... | | [ahn](https://developers.google.com/earth-engine/datasets/tags/ahn.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### AHN Netherlands 0.5m DEM, Non-Interpolated ![](https://developers.google.com/earth-engine/datasets/images/AHN/AHN_AHN2_05M_NON_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AHN_AHN2_05M_NON.md.txt) | | The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012. It contains ground level samples with all other items above ground (such as buildings, bridges, trees etc.) removed. This version is ... | | [ahn](https://developers.google.com/earth-engine/datasets/tags/ahn.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### AHN Netherlands 0.5m DEM, Raw Samples ![](https://developers.google.com/earth-engine/datasets/images/AHN/AHN_AHN2_05M_RUW_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AHN_AHN2_05M_RUW.md.txt) | | The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012. This version contains both ground level samples and items above ground level (such as buildings, bridges, trees etc). The point cloud ... | | [ahn](https://developers.google.com/earth-engine/datasets/tags/ahn.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### AHN3: Netherlands AHN 0.5m ![](https://developers.google.com/earth-engine/datasets/images/AHN/AHN_AHN3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AHN_AHN3.md.txt) | | The Actueel Hoogtebestand Nederland (AHN) is a dataset with detailed and precise elevation data for the whole of the Netherlands. Elevation information was collected from helicopters and aircraft using laser technology with vertical accuracy of 5 cm. AHN3 Dataset contains the Netherlands AHN 0.5m DSM ... | | [ahn](https://developers.google.com/earth-engine/datasets/tags/ahn.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### AHN4: Netherlands AHN 0.5m ![](https://developers.google.com/earth-engine/datasets/images/AHN/AHN_AHN4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AHN_AHN4.md.txt) | | The Actueel Hoogtebestand Nederland (AHN) is a dataset with detailed and precise elevation data for the whole of the Netherlands. Elevation information was collected from helicopters and aircraft using laser technology with vertical accuracy of 5 cm. AHN4 Dataset contains the Netherlands AHN 0.5m DSM ... | | [ahn](https://developers.google.com/earth-engine/datasets/tags/ahn.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### ALOS DSM: Global 30m v4.1 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_AW3D30_V4_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_AW3D30_V4_1.md.txt) | | ALOS World 3D - 30m (AW3D30) is a global digital surface model (DSM) dataset with a horizontal resolution of approximately 30 meters (1 arcsec mesh). The dataset is based on the DSM dataset (5-meter mesh version) of the World 3D Topographic Data. More details are ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) | - |---| | [### ALOS-2 PALSAR-2 StripMap Level 2.1 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR-2_Level2_1_StripMap_202401_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR-2_Level2_1_StripMap_202401.md.txt) | | Starting from the night of January 1st, 2024, based on the request from Japanese ministries and related organization, JAXA implemented ALOS-2 PALSAR-2 emergency observation. Since JAXA expects these emergency observation data to be extremely useful for disaster management, JAXA decided to open these data on ... | | [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [palsar2](https://developers.google.com/earth-engine/datasets/tags/palsar2.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### ALOS/AVNIR-2 ORI ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_AVNIR-2_ORI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_AVNIR-2_ORI.md.txt) | | This dataset is contains orthorectified imagery from the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) sensor on-board the Advanced Land Observing Satellite (ALOS) "DAICHI". The AVNIR-2 ORI product was created from AVNIR-2 1B1 data after stereo matching with reference to ALOS's Panchromatic Remote-sensing ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [orthophoto](https://developers.google.com/earth-engine/datasets/tags/orthophoto.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [visible](https://developers.google.com/earth-engine/datasets/tags/visible.md.txt) | - |---| | [### ASTER L1T Radiance ![](https://developers.google.com/earth-engine/datasets/images/ASTER/ASTER_AST_L1T_003_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ASTER_AST_L1T_003.md.txt) | | Note: There is a gap in data collection between November 28, 2024 and January 16, 2025 due to technical issues with the ASTER instrument. See the USGS announcement for more information. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a multispectral imager that ... | | [aster](https://developers.google.com/earth-engine/datasets/tags/aster.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [nir](https://developers.google.com/earth-engine/datasets/tags/nir.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Actual Evapotranspiration for Australia (CMRSET Landsat V2.2) ![](https://developers.google.com/earth-engine/datasets/images/TERN/TERN_AET_CMRSET_LANDSAT_V2_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TERN_AET_CMRSET_LANDSAT_V2_2.md.txt) | | This dataset provides accurate actual evapotranspiration (AET or ETa) for Australia using the CMRSET algorithm. The AET band (named 'ETa') contains the average daily value from the CMRSET model for all cloud-free Landsat observations in that month (indicated with value 3 in the AET Data ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [australia](https://developers.google.com/earth-engine/datasets/tags/australia.md.txt) [csiro](https://developers.google.com/earth-engine/datasets/tags/csiro.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) | - |---| | [### Allen Coral Atlas (ACA) - Geomorphic Zonation and Benthic Habitat - v2.0 ![](https://developers.google.com/earth-engine/datasets/images/ACA/ACA_reef_habitat_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ACA_reef_habitat_v2_0.md.txt) | | The Allen Coral Atlas dataset maps the geomorphic zonation and benthic habitat for the world's shallow coral reefs at 5 m pixel resolution. Also included is a global reef extent product that maps additional reef areas unable to be explicitly included in the geomorphic and ... | | [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived.md.txt) | - |---| | [### ArcticDEM Mosaic V4.1 ![](https://developers.google.com/earth-engine/datasets/images/UMN/UMN_PGC_ArcticDEM_V4_2m_mosaic_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMN_PGC_ArcticDEM_V4_2m_mosaic.md.txt) | | ArcticDEM is a National Geospatial-Intelligence Agency (NGA) and National Science Foundation (NSF) public-private initiative to automatically produce a high-resolution, high-quality digital surface model (DSM) of the Arctic using optical stereo imagery, high-performance computing, and open source photogrammetry software. It includes vegetation, tree canopy, buildings, and ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [pgc](https://developers.google.com/earth-engine/datasets/tags/pgc.md.txt) [umn](https://developers.google.com/earth-engine/datasets/tags/umn.md.txt) | - |---| | [### ArcticDEM Strips ![](https://developers.google.com/earth-engine/datasets/images/UMN/UMN_PGC_ArcticDEM_V3_2m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMN_PGC_ArcticDEM_V3_2m.md.txt) | | ArcticDEM is a National Geospatial-Intelligence Agency (NGA) and National Science Foundation (NSF) public-private initiative to automatically produce a high-resolution, high-quality digital surface model (DSM) of the Arctic using optical stereo imagery, high-performance computing, and open source photogrammetry software. It includes vegetation, tree canopy, buildings, and ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [pgc](https://developers.google.com/earth-engine/datasets/tags/pgc.md.txt) [umn](https://developers.google.com/earth-engine/datasets/tags/umn.md.txt) | - |---| | [### Australian 5M DEM ![](https://developers.google.com/earth-engine/datasets/images/AU/AU_GA_AUSTRALIA_5M_DEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AU_GA_AUSTRALIA_5M_DEM.md.txt) | | The Digital Elevation Model (DEM) 5 meter Grid of Australia derived from LiDAR model represents a National 5 meter (bare earth) DEM which has been derived from some 236 individual LiDAR surveys between 2001 and 2015 covering an area in excess of 245,000 square kilometers. ... | | [australia](https://developers.google.com/earth-engine/datasets/tags/australia.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ga](https://developers.google.com/earth-engine/datasets/tags/ga.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### BLM AIM TerrADat TerrestrialAIM Point v1 ![](https://developers.google.com/earth-engine/datasets/images/BLM/BLM_AIM_v1_TerrADat_TerrestrialAIM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/BLM_AIM_v1_TerrADat_TerrestrialAIM.md.txt) | | Since 2011, the Bureau of Land Management (BLM) has collected field information to inform land health through its Assessment Inventory and Monitoring (AIM) strategy. To date, more than 6,000 terrestrial AIM field plots have been collected over BLM lands. The BLM AIM data archive is ... | | [blm](https://developers.google.com/earth-engine/datasets/tags/blm.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [range](https://developers.google.com/earth-engine/datasets/tags/range.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### Brandenburg (Germany) RGBN orthophotos 20 cm ![](https://developers.google.com/earth-engine/datasets/images/Germany/Germany_Brandenburg_orthos_20cm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Germany_Brandenburg_orthos_20cm.md.txt) | | Orthophotos are an aerial photo dataset covering the Brandenburg state of Germany. This data is provided by State government of Brandenburg (LGB). Digital orthophotos are digitally corrected aerial photos and show all objects that are visible from the air at the time of recording in ... | | [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) | - |---| | [### Brazil Forest Imagery Dataset 2008: Analytic Basemap ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_BRAZIL_FOREST_2008_V1_ANALYTIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_BRAZIL_FOREST_2008_V1_ANALYTIC.md.txt) | | This dataset provides up to a 10-meter resolution multispectral (green, red, and near-infrared) basemap of Brazil, primarily captured in 2008, to support implementation of the Brazil Forest Code. The mosaic is synthesized from SPOT 2, 4, and 5 satellite data. It serves as a higher-resolution ... | | [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [forest-code](https://developers.google.com/earth-engine/datasets/tags/forest-code.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [multispectral](https://developers.google.com/earth-engine/datasets/tags/multispectral.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Brazil Forest Imagery Dataset 2008: Visual Basemap ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_BRAZIL_FOREST_2008_V1_VISUAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_BRAZIL_FOREST_2008_V1_VISUAL.md.txt) | | This dataset provides a visual imagery basemap of Brazil with up to 5-meter resolution, primarily captured in 2008, to support implementation of the Brazil Forest Code. The mosaic is synthesized from SPOT 2, 4, and 5 satellite data. It serves as a high-resolution alternative to ... | | [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest-code](https://developers.google.com/earth-engine/datasets/tags/forest-code.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Breathing Earth System Simulator (BESS) Radiation v1 ![](https://developers.google.com/earth-engine/datasets/images/SNU/SNU_ESL_BESS_Rad_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/SNU_ESL_BESS_Rad_v1.md.txt) | | Breathing Earth System Simulator (BESS) is a simplified process-based model that couples atmosphere and canopy radiative transfers, canopy photosynthesis, transpiration, and energy balance. It couples an atmospheric radiative transfer model and artificial neural network with forcings from MODIS atmospheric products to generate 5-km daily products. ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [modis-derived](https://developers.google.com/earth-engine/datasets/tags/modis-derived.md.txt) [par](https://developers.google.com/earth-engine/datasets/tags/par.md.txt) [radiation](https://developers.google.com/earth-engine/datasets/tags/radiation.md.txt) | - |---| | [### CCNL: Consistent and Corrected Nighttime Light Dataset from DMSP-OLS (1992-2013) v1 ![](https://developers.google.com/earth-engine/datasets/images/BNU/BNU_FGS_CCNL_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/BNU_FGS_CCNL_v1.md.txt) | | The Consistent and Corrected Nighttime Lights (CCNL) dataset is a reprocessed version of the Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) Version 4. A series of methods was used to mitigate the impact of inter-annual inconsistency, saturation, and blooming effects and to improve data ... | | [dmsp](https://developers.google.com/earth-engine/datasets/tags/dmsp.md.txt) [eog](https://developers.google.com/earth-engine/datasets/tags/eog.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [lights](https://developers.google.com/earth-engine/datasets/tags/lights.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [ols](https://developers.google.com/earth-engine/datasets/tags/ols.md.txt) | - |---| | [### CFSR: Climate Forecast System Reanalysis Harmonized ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CFSR_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSR_HARMONIZED.md.txt) | | The National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) was designed and executed as a global, high-resolution, coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over the 32-year period of record from January ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daylight](https://developers.google.com/earth-engine/datasets/tags/daylight.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) | - |---| | [### CFSV2: NCEP Climate Forecast System Version 2, 6-Hourly Products Harmonized ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CFSV2_FOR6H_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSV2_FOR6H_HARMONIZED.md.txt) | | The National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) is a fully coupled model representing the interaction between the Earth's atmosphere, oceans, land, and sea ice. CFS was developed at the Environmental Modeling Center (EMC) at NCEP. The operational CFS was upgraded to ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daylight](https://developers.google.com/earth-engine/datasets/tags/daylight.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) | - |---| | [### CHIRPS Precipitation Daily Near-Real-Time: Climate Hazards Center InfraRed Precipitation With Station Data (Version 3.0, IMERG-based) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHC/UCSB-CHC_CHIRPS_V3_DAILY_SAT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHC_CHIRPS_V3_DAILY_SAT.md.txt) | | The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS v3) is a 40+ year, high-resolution quasi-global rainfall dataset. It spans 60°N to 60°S and covers all longitudes, providing data from 1981 to near-present. CHIRPS v3 combines satellite-based thermal infrared rainfall estimates with in-situ station observations ... | | [chc](https://developers.google.com/earth-engine/datasets/tags/chc.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Daily Reanalysis: Climate Hazards Center InfraRed Precipitation With Station Data (Version 3.0, ERA5-based) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHC/UCSB-CHC_CHIRPS_V3_DAILY_RNL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHC_CHIRPS_V3_DAILY_RNL.md.txt) | | The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS v3) is a 40+ year, high-resolution quasi-global rainfall dataset. It spans 60°N to 60°S and covers all longitudes, providing data from 1981 to near-present. CHIRPS v3 combines satellite-based thermal infrared rainfall estimates with in-situ station observations ... | | [chc](https://developers.google.com/earth-engine/datasets/tags/chc.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Daily: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHG/UCSB-CHG_CHIRPS_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY.md.txt) | | Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. | | [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Pentad: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHG/UCSB-CHG_CHIRPS_PENTAD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD.md.txt) | | Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. | | [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Pentad: Climate Hazards Center InfraRed Precipitation With Station Data (Version 3.0) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHC/UCSB-CHC_CHIRPS_V3_PENTAD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHC_CHIRPS_V3_PENTAD.md.txt) | | The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS v3) is a 40+ year, high-resolution quasi-global rainfall dataset. It spans 60°N to 60°S and covers all longitudes, providing data from 1981 to near-present. CHIRPS v3 combines satellite-based thermal infrared rainfall estimates with in-situ station observations ... | | [chc](https://developers.google.com/earth-engine/datasets/tags/chc.md.txt) [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) | - |---| | [### CHIRTS Temperature Daily: Climate Hazards Center InfraRed Temperature with Stations daily data product ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHG/UCSB-CHG_CHIRTS_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRTS_DAILY.md.txt) | | The Climate Hazards Center InfraRed Temperature with Stations daily temperature data product (CHIRTS-daily; Verdin et al. 2020) is a quasi global, high-resolution gridded dataset (0.05° × 0.05° resolution, 60°S - 70°N) that provides daily minimum (Tmin) and maximum 2-meter temperatures (Tmax) and four derived variables: saturation vapor ... | | [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [reanalysis](https://developers.google.com/earth-engine/datasets/tags/reanalysis.md.txt) | - |---| | [### CPC Global Unified Gauge-Based Analysis of Daily Precipitation ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CPC_Precipitation_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Precipitation.md.txt) | | The CPC Unified Gauge-Based Analysis of Global Daily Precipitation dataset offers daily precipitation estimates over land from 1979 to the present. Developed by NOAA's Climate Prediction Center (CPC), it leverages an optimal interpolation technique to combine data from a global network of rain gauges, with ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CPC Global Unified Temperature ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CPC_Temperature_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Temperature.md.txt) | | This dataset provides a gridded analysis of daily surface air temperature over global land areas, including daily maximum (Tmax), minimum (Tmin) temperatures. Spanning from 1979 to the present, the data is presented on 0.5-degree latitude/longitude grids, aligning with the resolution of CPC's gauge-based global daily ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### CSIRO Global Biodiversity Indicators ![](https://developers.google.com/earth-engine/datasets/images/CSIRO/CSIRO_BHI_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSIRO_BHI_v4.md.txt) | | The CSIRO biodiversity indicators v4 dataset, produced by CSIRO using the BILBI (Biogeographic Infrastructure for Large-scale Biodiversity Indicators) framework, models global terrestrial biodiversity indicators at 30 arcsecond (\~1 km) resolution annually from 2000 to 2024. These indicators provide a system-level view of change in biodiversity ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [csiro](https://developers.google.com/earth-engine/datasets/tags/csiro.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [species](https://developers.google.com/earth-engine/datasets/tags/species.md.txt) | - |---| | [### CSP gHM: Global Human Modification ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_HM_GlobalHumanModification_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_HM_GlobalHumanModification.md.txt) | | The global Human Modification dataset (gHM) provides a cumulative measure of human modification of terrestrial lands globally at 1 square-kilometer resolution. The gHM values range from 0.0-1.0 and are calculated by estimating the proportion of a given location (pixel) that is modified, the estimated intensity ... | | [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [fragmentation](https://developers.google.com/earth-engine/datasets/tags/fragmentation.md.txt) [human-modification](https://developers.google.com/earth-engine/datasets/tags/human-modification.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landscape-gradient](https://developers.google.com/earth-engine/datasets/tags/landscape-gradient.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### Canada AAFC Annual Crop Inventory ![](https://developers.google.com/earth-engine/datasets/images/AAFC/AAFC_ACI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AAFC_ACI.md.txt) | | Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [canada](https://developers.google.com/earth-engine/datasets/tags/canada.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) | - |---| | [### Canadian Digital Elevation Model ![](https://developers.google.com/earth-engine/datasets/images/NRCan/NRCan_CDEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NRCan_CDEM.md.txt) | | The Canadian Digital Elevation Model (CDEM) is part of Natural Resources Canada's (NRCan) altimetry system and stems from the existing Canadian Digital Elevation Data (CDED). In these data, elevations can be either ground or reflective surface elevations. The CDEM is comprised of multiple DEMs with ... | | [canada](https://developers.google.com/earth-engine/datasets/tags/canada.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### Cloud Score+ S2_HARMONIZED V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED.md.txt) | | Cloud Score+ is a quality assessment (QA) processor for medium-to-high resolution optical satellite imagery. The Cloud Score+ S2_HARMONIZED dataset is being operationally produced from the harmonized Sentinel-2 L1C collection, and Cloud Score+ outputs can be used to identify relatively clear pixels and effectively remove clouds ... | | [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived.md.txt) | - |---| | [### Cocoa Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_cocoa_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_cocoa_model_2026a.md.txt) | | This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) | - |---| | [### Coffee Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_coffee_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_coffee_model_2026a.md.txt) | | This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) | - |---| | [### Copernicus Atmosphere Monitoring Service (CAMS) Global Near-Real-Time ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_CAMS_NRT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT.md.txt) | | The Copernicus Atmosphere Monitoring Service provides the capacity to continuously monitor the composition of the Earth's atmosphere at global and regional scales. The main global near-real-time production system is a data assimilation and forecasting suite providing two 5-day forecasts per day for aerosols and chemical ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) | - |---| | [### Copernicus CORINE Land Cover ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_CORINE_V20_100m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_CORINE_V20_100m.md.txt) | | The CORINE (coordination of information on the environment) Land Cover (CLC) inventory was initiated in 1985 to standardize data collection on land in Europe to support environmental policy development. The project is coordinated by the European Environment Agency (EEA) in the frame of the EU ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [eea](https://developers.google.com/earth-engine/datasets/tags/eea.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Copernicus DEM GLO-30 (2024_1): Global 30m Digital Elevation Model ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_DEM_GLO30_2024_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_DEM_GLO30_2024_1.md.txt) | | The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. This DEM is derived from an edited DSM named WorldDEM™, i.e., flattening of water bodies and consistent flow of rivers has been included. Editing ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Copernicus Global In-situ Observations of Ocean Currents - Argo ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_INSITU_MULTI_4KM_ARGO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_INSITU_MULTI_4KM_ARGO.md.txt) | | The In Situ TAC is a distributed centre organized around 7 oceanographic regions: the global ocean and the 6 EUROGOOS regional alliances. It involves 14 partners from 11 countries in Europe. It doesn't deploy any observing system and relies on data, exclusively funded by other ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [currents](https://developers.google.com/earth-engine/datasets/tags/currents.md.txt) [insitu](https://developers.google.com/earth-engine/datasets/tags/insitu.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global In-situ Observations of Ocean Currents - Drifter ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_INSITU_MULTI_4KM_DRIFTER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_INSITU_MULTI_4KM_DRIFTER.md.txt) | | The In Situ TAC is a distributed centre organized around 7 oceanographic regions: the global ocean and the 6 EUROGOOS regional alliances. It involves 14 partners from 11 countries in Europe. It doesn't deploy any observing system and relies on data, exclusively funded by other ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [currents](https://developers.google.com/earth-engine/datasets/tags/currents.md.txt) [insitu](https://developers.google.com/earth-engine/datasets/tags/insitu.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global In-situ Observations of Ocean Currents - Radar Radial ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_RADIAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_RADIAL.md.txt) | | The In Situ TAC is a distributed centre organized around 7 oceanographic regions: the global ocean and the 6 EUROGOOS regional alliances. It involves 14 partners from 11 countries in Europe. It doesn't deploy any observing system and relies on data, exclusively funded by other ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [currents](https://developers.google.com/earth-engine/datasets/tags/currents.md.txt) [insitu](https://developers.google.com/earth-engine/datasets/tags/insitu.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Copernicus Global In-situ Observations of Ocean Currents - Radar Total ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_TOTAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_TOTAL.md.txt) | | The In Situ TAC is a distributed centre organized around 7 oceanographic regions: the global ocean and the 6 EUROGOOS regional alliances. It involves 14 partners from 11 countries in Europe. It doesn't deploy any observing system and relies on data, exclusively funded by other ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [currents](https://developers.google.com/earth-engine/datasets/tags/currents.md.txt) [insitu](https://developers.google.com/earth-engine/datasets/tags/insitu.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3 ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_Landcover_100m_Proba-V-C3_Global_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global.md.txt) | | The Copernicus Global Land Service (CGLS) is earmarked as a component of the Land service to operate a multi-purpose service component that provides a series of bio-geophysical products on the status and evolution of land surface at global scale. The Dynamic Land Cover map at ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [eea](https://developers.google.com/earth-engine/datasets/tags/eea.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Copernicus Global Ocean Bio-Geo-Chemical Forecast - BIO ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_BIO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_BIO.md.txt) | | The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year's time series sliding window. This ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global Ocean Bio-Geo-Chemical Forecast - CAR ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_CAR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_CAR.md.txt) | | The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year's time series sliding window. This ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global Ocean Bio-Geo-Chemical Forecast - CO2 ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_CO2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_CO2.md.txt) | | The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year's time series sliding window. This ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global Ocean Bio-Geo-Chemical Forecast - NUT ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_NUT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_NUT.md.txt) | | The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year's time series sliding window. This ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global Ocean Bio-Geo-Chemical Forecast - OPTICS ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_OPTICS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_OPTICS.md.txt) | | The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year's time series sliding window. This ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global Ocean Bio-Geo-Chemical Forecast - PFT ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_PFT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_PFT.md.txt) | | The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year's time series sliding window. This ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Global Ocean Bio-Geo-Chemical Forecast - PLANKTON ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_PLANKTON_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_BGC_001_028_PLANKTON.md.txt) | | The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year's time series sliding window. This ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Copernicus Satellite Ocean Color Daily Data ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_SATELLITE_OCEAN_COLOR_V6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_SATELLITE_OCEAN_COLOR_V6.md.txt) | | This dataset provides global daily estimates of ocean surface chlorophyll-a concentration and remote sensing reflectance derived from multiple satellite sensors. Remote-sensing reflectance (or Rrs) is defined as the ratio of water-leaving radiance to downwelling irradiance and serves as the main input to algorithms used to ... | | [chlorophyll-a](https://developers.google.com/earth-engine/datasets/tags/chlorophyll-a.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Cote d'Ivoire BNETD 2020 Land Cover Map ![](https://developers.google.com/earth-engine/datasets/images/BNETD/BNETD_land_cover_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/BNETD_land_cover_v1.md.txt) | | The Cote d'Ivoire BNETD 2020 Land Cover Map was produced by the Ivorian Government through a national institution, the Center for Geographic Information and Digital from the National Study Office Techniques and Development (BNETD-CIGN), with technical and financial support from the European Union. The methodology ... | | [classification](https://developers.google.com/earth-engine/datasets/tags/classification.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### CryoSat-2 Antarctica 1km DEM ![](https://developers.google.com/earth-engine/datasets/images/CPOM/CPOM_CryoSat2_ANTARCTICA_DEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CPOM_CryoSat2_ANTARCTICA_DEM.md.txt) | | This dataset is a digital elevation model (DEM) of the Antarctic ice sheet and ice shelves based on observations recorded by the CryoSat-2 satellite radar altimeter between July 2010 and July 2016. The DEM is formed from spatio-temporal fits to elevation measurements accumulated within 1, ... | | [antarctica](https://developers.google.com/earth-engine/datasets/tags/antarctica.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [polar](https://developers.google.com/earth-engine/datasets/tags/polar.md.txt) | - |---| | [### DEM-H: Australian SRTM Hydrologically Enforced Digital Elevation Model ![](https://developers.google.com/earth-engine/datasets/images/AU/AU_GA_DEM_1SEC_v10_DEM-H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AU_GA_DEM_1SEC_v10_DEM-H.md.txt) | | The Hydrologically Enforced Digital Elevation Model (DEM-H) was derived from the SRTM data acquired by NASA in February 2000. The model has been hydrologically conditioned and drainage enforced. The DEM-H captures flow paths based on SRTM elevations and mapped stream lines, and supports delineation of ... | | [australia](https://developers.google.com/earth-engine/datasets/tags/australia.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ga](https://developers.google.com/earth-engine/datasets/tags/ga.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### DEM-S: Australian Smoothed Digital Elevation Model ![](https://developers.google.com/earth-engine/datasets/images/AU/AU_GA_DEM_1SEC_v10_DEM-S_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AU_GA_DEM_1SEC_v10_DEM-S.md.txt) | | The Smoothed Digital Elevation Model (DEM-S) was derived from the SRTM data acquired by NASA in February 2000. DEM-S represents ground surface topography (excluding vegetation features) and has been smoothed to reduce noise and improve the representation of surface shape. An adaptive process applied more ... | | [australia](https://developers.google.com/earth-engine/datasets/tags/australia.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ga](https://developers.google.com/earth-engine/datasets/tags/ga.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### DESS China Terrace Map v1 ![](https://developers.google.com/earth-engine/datasets/images/Tsinghua/Tsinghua_DESS_ChinaTerraceMap_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Tsinghua_DESS_ChinaTerraceMap_v1.md.txt) | | This dataset is a China terrace map at 30 m resolution in 2018. It was developed through supervised pixel-based classification using multisource and multi-temporal data based on the Google Earth Engine platform. The overall accuracy and kappa coefficient achieved 94% and 0.72, respectively. This first ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [tsinghua](https://developers.google.com/earth-engine/datasets/tags/tsinghua.md.txt) | - |---| | [### DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense Meteorological Program Operational Linescan System ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4.md.txt) | | The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night. This collection contains global nighttime lights images with no sensor saturation. The sensor is typically operated at a high-gain setting to enable ... | | [dmsp](https://developers.google.com/earth-engine/datasets/tags/dmsp.md.txt) [eog](https://developers.google.com/earth-engine/datasets/tags/eog.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [lights](https://developers.google.com/earth-engine/datasets/tags/lights.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [ols](https://developers.google.com/earth-engine/datasets/tags/ols.md.txt) | - |---| | [### DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS.md.txt) | | The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night. Version 4 of the DMSP-OLS Nighttime Lights Time Series consists of cloud-free composites made using all the available archived DMSP-OLS smooth resolution ... | | [dmsp](https://developers.google.com/earth-engine/datasets/tags/dmsp.md.txt) [eog](https://developers.google.com/earth-engine/datasets/tags/eog.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [lights](https://developers.google.com/earth-engine/datasets/tags/lights.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [ols](https://developers.google.com/earth-engine/datasets/tags/ols.md.txt) | - |---| | [### Daymet V4: Daily Surface Weather and Climatological Summaries ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ORNL_DAYMET_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_DAYMET_V4.md.txt) | | Daymet V4 provides gridded estimates of daily weather parameters for Continental North America, Hawaii, and Puerto Rico (Data for Puerto Rico is available starting in 1950). It is derived from selected meteorological station data and various supporting data sources. Compared to the previous version, Daymet ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [daylight](https://developers.google.com/earth-engine/datasets/tags/daylight.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Designation: USGS GAP PAD-US v2.0 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_PAD-US_v20_designation_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_PAD-US_v20_designation.md.txt) | | PAD-US is America's official national inventory of U.S. terrestrial and marine protected areas that are dedicated to the preservation of biological diversity and to other natural, recreation and cultural uses, managed for these purposes through legal or other effective means. This database is separated into ... | | [conservation-easements](https://developers.google.com/earth-engine/datasets/tags/conservation-easements.md.txt) [designation](https://developers.google.com/earth-engine/datasets/tags/designation.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [management](https://developers.google.com/earth-engine/datasets/tags/management.md.txt) [ownership](https://developers.google.com/earth-engine/datasets/tags/ownership.md.txt) [protected-areas](https://developers.google.com/earth-engine/datasets/tags/protected-areas.md.txt) | - |---| | [### Drained Organic Soils Emissions (Annual) 1.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GHG_1_DROSE_A_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GHG_1_DROSE_A.md.txt) | | The two related FAO datasets on Drained Organic Soils provide estimates of: DROSA-A: area of Organic Soils (in hectares) drained for agricultural activities (cropland and grazed grassland) DROSE-A: carbon (C) and nitrous oxide (N2O) estimates (in gigagrams) from the agricultural drainage of organic soils under ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2 (DSWx-HLS) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DSWX_L3_V1_HLS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DSWX_L3_V1_HLS.md.txt) | | This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described in the product documentation. The input dataset for generating each product is the Harmonized ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### Dynamic Surface Water Extent from Sentinel-1 (DSWx-S1) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DSWX_L3_V1_S1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DSWX_L3_V1_S1.md.txt) | | This dataset contains Level-3 Dynamic OPERA surface water extent from Sentinel-1 (DSWX-S1). DSWx-S1 provides near-global geographical mapping of surface water extent over land at a spatial resolution of 30 meters over the Military Grid reference System (MGRS) grid system, with a temporal revisit frequency between ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### Dynamic World V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_DYNAMICWORLD_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1.md.txt) | | Dynamic World is a 10m near-real-time (NRT) Land Use/Land Cover (LULC) dataset that includes class probabilities and label information for nine classes. Dynamic World predictions are available for the Sentinel-2 L1C collection from 2015-06-27 to present. The revisit frequency of Sentinel-2 is between 2-5 days ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [nrt](https://developers.google.com/earth-engine/datasets/tags/nrt.md.txt) | - |---| | [### EC JRC global map of forest cover 2020, V4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GFC2020_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GFC2020_V4.md.txt) | | The global map of forest cover provides a spatially explicit representation of forest presence and absence for the year 2020 at 10m spatial resolution. The year 2020 corresponds to the cut-off date of the Regulation from the European Union "on the making available on the ... | | [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) | - |---| | [### EC JRC global map of forest types 2020, V1 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GFC2020_subtypes_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GFC2020_subtypes_V1.md.txt) | | The global map of forest types provides a spatially explicit representation of primary forest, naturally regenerating forest and planted forest (including plantation forest) for the year 2020 at 10m spatial resolution. The base layer for mapping these forest types is the extent of forest cover ... | | [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [primary-forest](https://developers.google.com/earth-engine/datasets/tags/primary-forest.md.txt) | - |---| | [### ECMWF Near-Realtime IFS Atmospheric Forecasts ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_NRT_FORECAST_IFS_OPER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_NRT_FORECAST_IFS_OPER.md.txt) | | This dataset contains 15-day forecasts of the atmospheric model variables generated by the ECMWF Integrated Forecasting System (IFS) at 0.25 degree resolution. We refer to these as Near-Realtime (NRT) because new products are released twice a day after the release of the ECMWF realtime forecast ... | | [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### ECMWF Near-Realtime IFS Wave (Short-Cutoff) Forecasts ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_NRT_FORECAST_IFS_SCWV_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_NRT_FORECAST_IFS_SCWV.md.txt) | | This dataset contains 6-day forecasts of the wave model fields generated by the ECMWF Integrated Forecasting System (IFS) at 0.25 degree resolution. We refer to these as Near-Realtime (NRT) because new products are released twice a day after the release of the ECMWF realtime forecast ... | | [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### ECMWF Near-Realtime IFS Wave Forecasts ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_NRT_FORECAST_IFS_WAVE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_NRT_FORECAST_IFS_WAVE.md.txt) | | This dataset contains 15-day forecasts of the wave model fields generated by the ECMWF Integrated Forecasting System (IFS) at 0.25 degree resolution. We refer to these as Near-Realtime (NRT) because new products are released twice a day after the release of the ECMWF realtime forecast ... | | [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### ECOSTRESS Land Surface Temperature and Emissivity L2 Global 70 m V002 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ECOSTRESS_L2T_LSTE_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ECOSTRESS_L2T_LSTE_V2.md.txt) | | The ECOSTRESS Land Surface Temperature and Emissivity (ECO_L2T_LSTE) V002 dataset provides Land Surface Temperature (LST), LST error, Quality Control flags, Broadband Emissivity, cloud mask, surface height, water mask, and view zenith angle data at a 70m spatial resolution. This product is derived from ECOSTRESS observations ... | | [ecostress](https://developers.google.com/earth-engine/datasets/tags/ecostress.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) | - |---| | [### ECOSTRESS Tiled Ancillary NDVI and Albedo L2 Global 70 m V002 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ECOSTRESS_L2T_STARS_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ECOSTRESS_L2T_STARS_V2.md.txt) | | The ECOSTRESS Tiled Ancillary NDVI and Albedo (ECO_L2T_STARS) V002 dataset provides Normalized Difference Vegetation Index (NDVI) and albedo data at a 70m spatial resolution. This ancillary product, essential for understanding plant water needs and stress, is created through a data fusion process that combines Visible ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [ecostress](https://developers.google.com/earth-engine/datasets/tags/ecostress.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L1B_RAD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L1B_RAD.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L2A_RFL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2A_RFL.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### EO-1 Hyperion Hyperspectral Imager ![](https://developers.google.com/earth-engine/datasets/images/EO1/EO1_HYPERION_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EO1_HYPERION.md.txt) | | Hyperion is a high resolution hyperspectral imager producing 220 unique spectral channels ranging from 0.357 to 2.576 micrometers with a 10-nm bandwidth. The instrument operates in a pushbroom fashion, with a spatial resolution of 30 meters for all bands and a standard scene width of ... | | [hyperspectral](https://developers.google.com/earth-engine/datasets/tags/hyperspectral.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_DAILY.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 DAILY provides aggregated values for each day for ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### ERA5 Hourly - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_HOURLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_HOURLY.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. It is produced by the Copernicus Climate Change Service (C3S) at ECMWF. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) | - |---| | [### ERA5 Hourly Pressure Levels - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_HOURLY_PRESSURE_LEVELS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_HOURLY_PRESSURE_LEVELS.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. This dataset contains 3D parameters at 37 pressure levels. | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) | - |---| | [### ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_MONTHLY.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 MONTHLY provides aggregated values for each month for ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Hourly - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_HOURLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_AGGR.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Static - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_STATIC.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ESA CCI Above-Ground Biomass for 2007, 2010, 2015-2022 (v6.0) ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_CCI_Above_Ground_Biomass_V6_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_CCI_Above_Ground_Biomass_V6_0.md.txt) | | This dataset updated to v6.0 provides estimates of forest above-ground biomass for the years 2007, 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021, and 2022. These estimates are derived from a combination of Earth observation data, depending on the year, obtained from the Copernicus Sentinel-1 ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [cci](https://developers.google.com/earth-engine/datasets/tags/cci) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) | - |---| | [### ESA WorldCereal 10 m v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCereal_2021_MODELS_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MODELS_v100.md.txt) | | The European Space Agency (ESA) WorldCereal 10 m 2021 product suite consists of global-scale annual and seasonal crop maps and their related confidence. They were generated as part of the ESA-WorldCereal project. More information on the content of these products and the methodology used to ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) | - |---| | [### ESA WorldCereal AEZ v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCereal_AEZ_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCereal_AEZ_v100.md.txt) | | The European Space Agency (ESA) WorldCereal classification system aims for product generation within one month after the end of a particular growing season. Due to the dynamic nature of these growing seasons across the globe, a global stratification into Agro-Ecological Zones (AEZ) was performed based ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### ESA WorldCereal Active Cropland 10 m v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCereal_2021_MARKERS_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MARKERS_v100.md.txt) | | The European Space Agency (ESA) WorldCereal Active Cropland 10 m 2021 product suite contains global-scale seasonal active cropland markers. They were generated as part of the ESA-WorldCereal project. The active cropland products indicate whether or not a pixel identified as temporary crops has been actively ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) | - |---| | [### ESA WorldCover 10m v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCover_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100.md.txt) | | The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of ... | | [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived.md.txt) | - |---| | [### ESA WorldCover 10m v200 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCover_v200_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v200.md.txt) | | The European Space Agency (ESA) WorldCover 10 m 2021 product provides a global land cover map for 2021 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of ... | | [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived.md.txt) | - |---| | [### ETOPO1: Global 1 Arc-Minute Elevation ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NGDC_ETOPO1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NGDC_ETOPO1.md.txt) | | ETOPO1 is a 1 arc-minute global relief model of Earth''s surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. It contains two elevation bands: ice_surface and bedrock. | | [bedrock](https://developers.google.com/earth-engine/datasets/tags/bedrock.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) | - |---| | [### EUCROPMAP ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_D5_EUCROPMAP_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_D5_EUCROPMAP_V1.md.txt) | | European crop type maps based on Sentinel-1 and LUCAS Copernicus 2018 in-situ observations for 2018, and a combination of Sentinel-1, Sentinel-2, and auxiliary data with LUCAS Copernicus 2022 observations for 2022. Based on the unique LUCAS 2018 Copernicus in-situ survey, this dataset represents the first ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [lucas](https://developers.google.com/earth-engine/datasets/tags/lucas.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) | - |---| | [### EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_8-Daily.md.txt) | | The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was clipped to ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_Annual.md.txt) | | The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was clipped to ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly.md.txt) | | The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was clipped to ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Earth Surface Mineral Dust Source Investigation- Methane Enhancement ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L2B_CH4ENH_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2B_CH4ENH.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Earth Surface Mineral Dust Source Investigation- Methane Plume Complexes ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L2B_CH4PLM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2B_CH4PLM.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Earth Timelapse v0 ![](https://developers.google.com/earth-engine/datasets/images/ee-earth-timelapse/projects_ee-earth-timelapse_assets_annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_ee-earth-timelapse_assets_annual.md.txt) | | The Earth Timelapse dataset provides a four-decade visual record of planetary change spanning from 1984 to 2022. Synthesized by Google from petabytes of spaceborne observations acquired by NASA/USGS Landsat missions (Landsat 4, 5, 7, 8, and 9) and ESA's Copernicus Sentinel-2 constellation, the dataset is ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Easement: USGS GAP PAD-US v2.0 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_PAD-US_v20_easement_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_PAD-US_v20_easement.md.txt) | | PAD-US is America's official national inventory of U.S. terrestrial and marine protected areas that are dedicated to the preservation of biological diversity and to other natural, recreation and cultural uses, managed for these purposes through legal or other effective means. This database is separated into ... | | [conservation-easements](https://developers.google.com/earth-engine/datasets/tags/conservation-easements.md.txt) [designation](https://developers.google.com/earth-engine/datasets/tags/designation.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [management](https://developers.google.com/earth-engine/datasets/tags/management.md.txt) [ownership](https://developers.google.com/earth-engine/datasets/tags/ownership.md.txt) [protected-areas](https://developers.google.com/earth-engine/datasets/tags/protected-areas.md.txt) | - |---| | [### England 1m Composite DTM/DSM (Environment Agency) ![](https://developers.google.com/earth-engine/datasets/images/UK/UK_EA_ENGLAND_1M_TERRAIN_2022_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UK_EA_ENGLAND_1M_TERRAIN_2022.md.txt) | | The LIDAR Composite DTM/DSM is a raster terrain model covering \~99% of England at 1m spatial resolution, produced by the UK Environment Agency in 2022. The model contains 3 bands of terrain data: a Digital Terrain Model (DTM), a first return Digital Surface Model (DSM), ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### Estonia RGB low flying orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Estonia/Estonia_Maamet_orthos_rgb_low_flying_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Estonia_Maamet_orthos_rgb_low_flying.md.txt) | | Orthophotos are an aerial photo dataset covering Estonia. An orthophoto is a processed aerial photo from which distortions caused by terrain relief, camera tilt relative to the ground at the moment of exposure and camera central projection are removed. A digital orthophoto has a certain ... | | [estonia](https://developers.google.com/earth-engine/datasets/tags/estonia.md.txt) [low-flying](https://developers.google.com/earth-engine/datasets/tags/low-flying.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) | - |---| | [### Estonia RGB orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Estonia/Estonia_Maamet_orthos_rgb_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Estonia_Maamet_orthos_rgb.md.txt) | | Orthophotos are an aerial photo dataset covering Estonia. An orthophoto is a processed aerial photo from which distortions caused by terrain relief, camera tilt relative to the ground at the moment of exposure and camera central projection are removed. A digital orthophoto has a certain ... | | [estonia](https://developers.google.com/earth-engine/datasets/tags/estonia.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) | - |---| | [### Estonia mono low flying orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Estonia/Estonia_Maamet_orthos_mono_low_flying_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Estonia_Maamet_orthos_mono_low_flying.md.txt) | | Orthophotos are an aerial photo dataset covering Estonia. An orthophoto is a processed aerial photo from which distortions caused by terrain relief, camera tilt relative to the ground at the moment of exposure and camera central projection are removed. A digital orthophoto has a certain ... | | [estonia](https://developers.google.com/earth-engine/datasets/tags/estonia.md.txt) [low-flying](https://developers.google.com/earth-engine/datasets/tags/low-flying.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) | - |---| | [### Estonia mono orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Estonia/Estonia_Maamet_orthos_mono_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Estonia_Maamet_orthos_mono.md.txt) | | Orthophotos are an aerial photo dataset covering Estonia. An orthophoto is a processed aerial photo from which distortions caused by terrain relief, camera tilt relative to the ground at the moment of exposure and camera central projection are removed. A digital orthophoto has a certain ... | | [estonia](https://developers.google.com/earth-engine/datasets/tags/estonia.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) | - |---| | [### European Primary Forest Dataset - Points ![](https://developers.google.com/earth-engine/datasets/images/HU_BERLIN/HU_BERLIN_EPFD_V2_points_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/HU_BERLIN_EPFD_V2_points.md.txt) | | European primary forest data harmonizes 48 different, mostly field-based datasets of primary forests, and contains 18,411 individual patches (41.1 Mha) spread across 33 countries. It includes includes mainly old-growth, late-successional forests, but also some early seral stages and young forests that originated after natural disturbances ... | | [europe](https://developers.google.com/earth-engine/datasets/tags/europe.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### European Primary Forest Dataset - Polygons ![](https://developers.google.com/earth-engine/datasets/images/HU_BERLIN/HU_BERLIN_EPFD_V2_polygons_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/HU_BERLIN_EPFD_V2_polygons.md.txt) | | European primary forest data harmonizes 48 different, mostly field-based datasets of primary forests, and contains 18,411 individual patches (41.1 Mha) spread across 33 countries. It includes includes mainly old-growth, late-successional forests, but also some early seral stages and young forests that originated after natural disturbances ... | | [europe](https://developers.google.com/earth-engine/datasets/tags/europe.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### FAO GAUL 500m Simplified: Global Administrative Unit Layers 2015, Country Boundaries ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GAUL_SIMPLIFIED_500m_2015_level0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_SIMPLIFIED_500m_2015_level0.md.txt) | | This version of GAUL dataset is simplified at 500m. The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [gaul](https://developers.google.com/earth-engine/datasets/tags/gaul.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### FAO GAUL 500m Simplified: Global Administrative Unit Layers 2025, First-Level Administrative Units ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GAUL_SIMPLIFIED_500m_2025_level1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_SIMPLIFIED_500m_2025_level1.md.txt) | | This version of the GAUL dataset is simplified at 500m. The administrative boundaries dataset at level 1 (sub-national level) is part of the Global Administrative Unit Layers (GAUL 2025) dataset series which includes information on administrative units for all countries in the world, providing a ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [departments](https://developers.google.com/earth-engine/datasets/tags/departments.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [gaul](https://developers.google.com/earth-engine/datasets/tags/gaul.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [provinces](https://developers.google.com/earth-engine/datasets/tags/provinces.md.txt) | - |---| | [### FAO GAUL 500m Simplified: Global Administrative Unit Layers 2025, Second-Level Administrative Units ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GAUL_SIMPLIFIED_500m_2025_level2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_SIMPLIFIED_500m_2025_level2.md.txt) | | This version of the GAUL dataset is simplified at 500m. The administrative boundaries dataset at level 2 (sub-national level) is part of the Global Administrative Unit Layers (GAUL 2025) dataset series which includes information on administrative units for all countries in the world, providing a ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [county](https://developers.google.com/earth-engine/datasets/tags/county.md.txt) [districts](https://developers.google.com/earth-engine/datasets/tags/districts.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [gaul](https://developers.google.com/earth-engine/datasets/tags/gaul.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) | - |---| | [### FAO GAUL: Global Administrative Unit Layers 2015, Country Boundaries ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GAUL_2015_level0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0.md.txt) | | The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [gaul](https://developers.google.com/earth-engine/datasets/tags/gaul.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### FAO GAUL: Global Administrative Unit Layers 2025, First-Level Administrative Units ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GAUL_2025_level1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2025_level1.md.txt) | | The administrative boundaries dataset at level 1 (sub-national level) is part of the Global Administrative Unit Layers (GAUL 2025) dataset series which includes information on administrative units for all countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [departments](https://developers.google.com/earth-engine/datasets/tags/departments.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [gaul](https://developers.google.com/earth-engine/datasets/tags/gaul.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [provinces](https://developers.google.com/earth-engine/datasets/tags/provinces.md.txt) | - |---| | [### FAO GAUL: Global Administrative Unit Layers 2025, Second-Level Administrative Units ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GAUL_2025_level2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2025_level2.md.txt) | | The administrative boundaries dataset at level 2 (sub-national level) is part of the Global Administrative Unit Layers (GAUL 2025) dataset series which includes information on administrative units for all countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [county](https://developers.google.com/earth-engine/datasets/tags/county.md.txt) [districts](https://developers.google.com/earth-engine/datasets/tags/districts.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [gaul](https://developers.google.com/earth-engine/datasets/tags/gaul.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) | - |---| | [### FIRMS: Fire Information for Resource Management System ![](https://developers.google.com/earth-engine/datasets/images/FIRMS/FIRMS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FIRMS.md.txt) | | The Earth Engine version of the Fire Information for Resource Management System (FIRMS) dataset contains the LANCE fire detection product in rasterized form. The near real-time (NRT) active fire locations are processed by LANCE using the standard MODIS MOD14/MYD14 Fire and Thermal Anomalies product. Each ... | | [eosdis](https://developers.google.com/earth-engine/datasets/tags/eosdis.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [firms](https://developers.google.com/earth-engine/datasets/tags/firms.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hotspot](https://developers.google.com/earth-engine/datasets/tags/hotspot.md.txt) [lance](https://developers.google.com/earth-engine/datasets/tags/lance.md.txt) | - |---| | [### FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001.md.txt) | | The FLDAS dataset (McNally et al. 2017), was designed to assist with food security assessments in data-sparse, developing country settings. It includes information on many climate-related variables including moisture content, humidity, evapotranspiration, average soil temperature, total precipitation rate, etc. There are multiple different FLDAS datasets; ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [ldas](https://developers.google.com/earth-engine/datasets/tags/ldas.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### FORMA Alert Thresholds ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_GFW_FORMA_thresholds_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_GFW_FORMA_thresholds.md.txt) | | NOTE from WRI: WRI decided to stop updating FORMA alerts. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. We found that Terra-i and GLAD were more frequently used. Moreover, using GLAD as a standard, found that Terra-i outperformed FORMA ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forma](https://developers.google.com/earth-engine/datasets/tags/forma.md.txt) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw.md.txt) | - |---| | [### FORMA Alerts ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_GFW_FORMA_alerts_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_GFW_FORMA_alerts.md.txt) | | NOTE from WRI: WRI decided to stop updating FORMA alerts. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. We found that Terra-i and GLAD were more frequently used. Moreover, using GLAD as a standard, found that Terra-i outperformed FORMA ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forma](https://developers.google.com/earth-engine/datasets/tags/forma.md.txt) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw.md.txt) | - |---| | [### FORMA Raw Output FIRMS ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_GFW_FORMA_raw_output_firms_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_GFW_FORMA_raw_output_firms.md.txt) | | NOTE from WRI: WRI decided to stop updating FORMA alerts. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. We found that Terra-i and GLAD were more frequently used. Moreover, using GLAD as a standard, found that Terra-i outperformed FORMA ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forma](https://developers.google.com/earth-engine/datasets/tags/forma.md.txt) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw.md.txt) | - |---| | [### FORMA Raw Output NDVI ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_GFW_FORMA_raw_output_ndvi_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_GFW_FORMA_raw_output_ndvi.md.txt) | | NOTE from WRI: WRI decided to stop updating FORMA alerts. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. We found that Terra-i and GLAD were more frequently used. Moreover, using GLAD as a standard, found that Terra-i outperformed FORMA ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [forma](https://developers.google.com/earth-engine/datasets/tags/forma.md.txt) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw.md.txt) | - |---| | [### FORMA Vegetation T-Statistics ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_GFW_FORMA_vegetation_tstats_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_GFW_FORMA_vegetation_tstats.md.txt) | | NOTE from WRI: WRI decided to stop updating FORMA alerts. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. We found that Terra-i and GLAD were more frequently used. Moreover, using GLAD as a standard, found that Terra-i outperformed FORMA ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [forma](https://developers.google.com/earth-engine/datasets/tags/forma.md.txt) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw.md.txt) | - |---| | [### Farmscapes 2020 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_farmscapes_england_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_farmscapes_england_v1_0.md.txt) | | The Farmscapes 2020 dataset provides high-resolution (25cm) probability maps for three key semi-natural features within England's agricultural landscapes: hedgerows, woodland, and stone walls. This dataset was developed in collaboration with the Leverhulme Centre for Nature Recovery at Oxford to serve as a baseline for applications ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [ecological-connectivity](https://developers.google.com/earth-engine/datasets/tags/ecological-connectivity.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Farmscapes 2020 Vectorised ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_farmscapes_england_v1_0_vectorised_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_farmscapes_england_v1_0_vectorised.md.txt) | | This is the vectorised version of the Farmscapes 2020 raster dataset. It provides polygon geometries representing fine-scale semi-natural landscape features (specifically hedgerows, woodland, and stone walls) across England's agricultural landscapes. This dataset was developed in collaboration with the Oxford Leverhulme Centre for Nature Recovery to ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [ecological-connectivity](https://developers.google.com/earth-engine/datasets/tags/ecological-connectivity.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Fee: USGS GAP PAD-US v2.0 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_PAD-US_v20_fee_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_PAD-US_v20_fee.md.txt) | | PAD-US is America's official national inventory of U.S. terrestrial and marine protected areas that are dedicated to the preservation of biological diversity and to other natural, recreation and cultural uses, managed for these purposes through legal or other effective means. This database is separated into ... | | [conservation-easements](https://developers.google.com/earth-engine/datasets/tags/conservation-easements.md.txt) [designation](https://developers.google.com/earth-engine/datasets/tags/designation.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [management](https://developers.google.com/earth-engine/datasets/tags/management.md.txt) [ownership](https://developers.google.com/earth-engine/datasets/tags/ownership.md.txt) [protected-areas](https://developers.google.com/earth-engine/datasets/tags/protected-areas.md.txt) | - |---| | [### Finland NRG NLS orthophotos 50 cm by Mavi ![](https://developers.google.com/earth-engine/datasets/images/Finland/Finland_MAVI_VV_50cm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Finland_MAVI_VV_50cm.md.txt) | | NLS Orthophotos are an aerial photo dataset covering the whole of Finland. This data is provided by Mavi(Agency for Rural Affairs). An orthophoto is a combination of several individual aerial photos. The aerial photo dataset in orthophoto format is available as the most recent dataset ... | | [falsecolor](https://developers.google.com/earth-engine/datasets/tags/falsecolor.md.txt) [finland](https://developers.google.com/earth-engine/datasets/tags/finland.md.txt) [nrg](https://developers.google.com/earth-engine/datasets/tags/nrg.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) | - |---| | [### Finland NRG NLS orthophotos 50 cm by SMK ![](https://developers.google.com/earth-engine/datasets/images/Finland/Finland_SMK_VV_50cm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Finland_SMK_VV_50cm.md.txt) | | NLS Orthophotos are an aerial photo dataset covering the whole of Finland. This data is provided by SMK(The Energy Agency, formerly abbreviated SMK). An orthophoto is a combination of several individual aerial photos. The aerial photo dataset in orthophoto format is available as the most ... | | [falsecolor](https://developers.google.com/earth-engine/datasets/tags/falsecolor.md.txt) [finland](https://developers.google.com/earth-engine/datasets/tags/finland.md.txt) [nrg](https://developers.google.com/earth-engine/datasets/tags/nrg.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [smk](https://developers.google.com/earth-engine/datasets/tags/smk.md.txt) | - |---| | [### Finland RGB NLS orthophotos 50 cm by SMK ![](https://developers.google.com/earth-engine/datasets/images/Finland/Finland_SMK_V_50cm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Finland_SMK_V_50cm.md.txt) | | NLS Orthophotos are an aerial photo dataset covering the whole of Finland. This data is provided by SMK(The Energy Agency, formerly abbreviated SMK). An orthophoto is a combination of several individual aerial photos. The aerial photo data set in orthophoto format is available as the ... | | [finland](https://developers.google.com/earth-engine/datasets/tags/finland.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) [smk](https://developers.google.com/earth-engine/datasets/tags/smk.md.txt) | - |---| | [### FireCCI51: MODIS Fire_cci Burned Area Pixel Product, Version 5.1 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_CCI_FireCCI_5_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_CCI_FireCCI_5_1.md.txt) | | The MODIS Fire_cci Burned Area pixel product version 5.1 (FireCCI51) is a monthly global \~250m spatial resolution dataset containing information on burned area as well as ancillary data. It is based on surface reflectance in the Near Infrared (NIR) band from the MODIS instrument onboard ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn.md.txt) [cci](https://developers.google.com/earth-engine/datasets/tags/cci) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) | - |---| | [### Forest Persistence v0 ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_community_forests_ForestPersistence_2020_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_community_forests_ForestPersistence_2020.md.txt) | | This image provides a per-pixel score (in \[0, 1\]) that indicates whether the pixel area is occupied by undisturbed forest in year 2020. These scores are provided at 30 meter resolution, and have been generated by a convergence of evidence approach to combining multiple forest ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [forestdatapartnership](https://developers.google.com/earth-engine/datasets/tags/forestdatapartnership.md.txt) | - |---| | [### Forest Typology (ForTy) 2020 v1.0 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_forest_typology_forest_typology_2020_v1_0_collection_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_forest_typology_forest_typology_2020_v1_0_collection.md.txt) | | The Forest Typology (ForTy) v1 dataset consists of a global per-class probability map at 10 m resolution covering all land areas between 65°S and 84°N latitude for the year 2020. The six-class typology is aligned with FAO and EU Deforestation Regulation (EUDR) definitions: Class 1 ... | | [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) | - |---| | [### Forest proximate people (FPP) 1.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_SOFO_1_FPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_SOFO_1_FPP.md.txt) | | The "Forest Proximate People" (FPP) dataset is one of the data layers contributing to the development of indicator #13, "number of forest-dependent people in extreme poverty," of the Collaborative Partnership on Forests (CPF) Global Core Set of forest-related indicators (GCS). The FPP dataset provides an ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GCOM-C/SGLI L3 Chlorophyll-a Concentration (V1) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V1.md.txt) | | This product is the concentration of the photosynthetic pigment (chlorophyll-a) in phytoplankton in the sea surface layer. A newer version JAXA/GCOM-C/L3/OCEAN/CHLA/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate ... | | [chla](https://developers.google.com/earth-engine/datasets/tags/chla.md.txt) [chlorophyll-a](https://developers.google.com/earth-engine/datasets/tags/chlorophyll-a.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) | - |---| | [### GCOM-C/SGLI L3 Chlorophyll-a Concentration (V2) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V2.md.txt) | | This product is the concentration of the photosynthetic pigment (chlorophyll-a) in phytoplankton in the sea surface layer. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and ... | | [chla](https://developers.google.com/earth-engine/datasets/tags/chla.md.txt) [chlorophyll-a](https://developers.google.com/earth-engine/datasets/tags/chlorophyll-a.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) | - |---| | [### GCOM-C/SGLI L3 Chlorophyll-a Concentration (V3) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V3.md.txt) | | This product is the concentration of the photosynthetic pigment (chlorophyll-a) in phytoplankton in the sea surface layer. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in ... | | [chla](https://developers.google.com/earth-engine/datasets/tags/chla.md.txt) [chlorophyll-a](https://developers.google.com/earth-engine/datasets/tags/chlorophyll-a.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) | - |---| | [### GCOM-C/SGLI L3 Land Surface Temperature (V1) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LST_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V1.md.txt) | | This product is the temperature of terrestrial land surface. A newer version JAXA/GCOM-C/L3/LAND/LST/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Land Surface Temperature (V2) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LST_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V2.md.txt) | | This product is the temperature of terrestrial land surface. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate projections regarding ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Land Surface Temperature (V3) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LST_V3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V3.md.txt) | | This product is the temperature of terrestrial land surface. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Leaf Area Index (V1) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V1.md.txt) | | This product is the sum of the one-sided green leaf area per unit ground area. A newer version JAXA/GCOM-C/L3/LAND/LAI/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism ... | | [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Leaf Area Index (V2) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V2.md.txt) | | This product is the sum of the one-sided green leaf area per unit ground area. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle ... | | [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Leaf Area Index (V3) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V3.md.txt) | | This product is the sum of the one-sided green leaf area per unit ground area. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget ... | | [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Sea Surface Temperature (V1) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V1.md.txt) | | This product is the temperature of sea surface. A newer version JAXA/GCOM-C/L3/OCEAN/SST/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GCOM-C/SGLI L3 Sea Surface Temperature (V2) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V2.md.txt) | | This product is the temperature of sea surface. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate projections regarding future ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GCOM-C/SGLI L3 Sea Surface Temperature (V3) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V3.md.txt) | | This product is the temperature of sea surface. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GEDI L2A Raster Canopy Top Height (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_A_002_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002_MONTHLY.md.txt) | | GEDI's Level 2A Geolocated Elevation and Height Metrics Product (GEDI02_A) is primarily composed of 100 Relative Height (RH) metrics, which collectively describe the waveform collected by GEDI. The original GEDI02_A product is a table of point with a spatial resolution (average footprint) of 25 meters. ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2A Vector Canopy Top Height (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_A_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002.md.txt) | | GEDI's Level 2A Geolocated Elevation and Height Metrics Product (GEDI02_A) is primarily composed of 100 Relative Height (RH) metrics, which collectively describe the waveform collected by GEDI. The original GEDI02_A product is a table of point with a spatial resolution (average footprint) of 25 meters. ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2A table index ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_A_002_INDEX_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002_INDEX.md.txt) | | This is a feature collection created from the geometries of L2A tables in LARSE/GEDI/GEDI02_A_002. Each feature is a polygon footprint of a source table with its asset id and start/end timestamps. Please see User Guide for more information. The Global Ecosystem Dynamics Investigation GEDI mission ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### GEDI L2B Raster Canopy Cover Vertical Profile Metrics (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_B_002_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002_MONTHLY.md.txt) | | GEDI Level 2B Canopy Cover and Vertical Profile Metrics product (GEDI02_B) extracts biophysical metrics from each GEDI waveform. These metrics are based on the directional gap probability profile derived from the L1B waveform. The vertical step between foliage profile measurements (known as dZ in GEDI ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2B Vector Canopy Cover Vertical Profile Metrics (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_B_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002.md.txt) | | GEDI Level 2B Canopy Cover and Vertical Profile Metrics product (GEDI02_B) extracts biophysical metrics from each GEDI waveform. These metrics are based on the directional gap probability profile derived from the L1B waveform. The vertical step between foliage profile measurements (known as dZ in GEDI ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2B table index ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_B_002_INDEX_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002_INDEX.md.txt) | | This is a feature collection created from the geometries of L2B tables in LARSE/GEDI/GEDI02_B_002. Each feature is a polygon footprint of a source table with its asset id and start/end timestamps. Please see User Guide for more information. The Global Ecosystem Dynamics Investigation GEDI mission ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### GEDI L4A Aboveground Biomass Density, Version 2.1 ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_A_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002.md.txt) | | This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. Height metrics ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L4A Raster Aboveground Biomass Density, Version 2.1 ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_A_002_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002_MONTHLY.md.txt) | | This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. Height metrics ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L4A table index ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_A_002_INDEX_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002_INDEX.md.txt) | | This is a feature collection created from the geometries of L4A tables in LARSE/GEDI/GEDI04_A_002. Each feature is a polygon footprint of a source table with its asset id and start/end timestamps. Please see User Guide for more information. The Global Ecosystem Dynamics Investigation GEDI mission ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### GEDI L4B Gridded Aboveground Biomass Density (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_B_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_B_002.md.txt) | | This Global Ecosystem Dynamics Investigation (GEDI) L4B product provides 1 km x 1 km estimates of mean aboveground biomass density (AGBD) based on observations from mission week 19 starting on 2019-04-18 to mission week 138 ending on 2021-08-04. The GEDI L4A Footprint Biomass product converts ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L4D Imputed Waveforms, Version 2 ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_D_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_D_002.md.txt) | | The GEDI Level 4D (L4D) product provides a 30-m spatial elaboration of the mission's sample of footprint-level L2A V002, L2B V002, and L4A Version 2.1 products globally between latitudes -51.6 and 51.6 degrees. A k-nearest neighbors (k-NN) algorithm was used with Landsat time series data ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) | - |---| | [### GEM-15: Near-Global Surface and Terrain Elevation Models (15m) (Experimental) ![](https://developers.google.com/earth-engine/datasets/images/climate-and-sustainability/projects_climate-and-sustainability_assets_gem-15_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_climate-and-sustainability_assets_gem-15_v1.md.txt) | | Google's Near-Global Elevation Models at 15m (GEM-15) is an experimental (under review) near-global elevation dataset at 15m grid spacing derived from sub-meter optical stereo satellite imagery. The dataset is built from optical stereo imagery acquired through 2024 (primarily 2022--2024 30cm Pléiades Neo imagery, supplemented by ... | | [climate-and-sustainability](https://developers.google.com/earth-engine/datasets/tags/climate-and-sustainability.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [height](https://developers.google.com/earth-engine/datasets/tags/height.md.txt) | - |---| | [### GEOS-CF Ana htf v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_ana_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_ana_htf.md.txt) | | This dataset contains analysis (ana) of high-temporal frequency data (htf) at 15 minute intervals. It is created from the original GEOS-CF collection htf_inst_15mn_glo_L1440x721_slv. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office(GMAO). ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF ana tavg1hr v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_ana_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_ana_tavg1hr.md.txt) | | This dataset contains meteorological analysis (ana) of time-average one hour data (tavg1hr). It is built by merging the original GEOS-CF collections chm_tavg_1hr_glo_L1440x721_slv, met_tavg_1hr_glo_L1440x721_slv, and xgc_tavg_1hr_glo_L1440x721_slv. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF fcst htf v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_fcst_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf.md.txt) | | This dataset contains meteorological forecast (fcst) of high-temporal frequency data (htf). Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office (GMAO). ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GEOS-CF fcst htf v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_fcst_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_fcst_htf.md.txt) | | This dataset contains forecast (fcst) of high-temporal frequency data (htf) at 15 minute intervals. It is created from the original GEOS-CF collection htf_inst_15mn_glo_L1440x721_slv. Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF fcst tavg1hr v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_fcst_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_tavg1hr.md.txt) | | This dataset contains meteorological forecast (fcst) of time-averaged frequency data (tavg1hr). Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office (GMAO). ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GEOS-CF fcst tavg1hr v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_fcst_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_fcst_tavg1hr.md.txt) | | This dataset contains forecast (fcst) of time-averaged frequency data (tavg1hr). It is built by merging the original GEOS-CF collections chm_tavg_1hr_glo_L1440x721_slv, met_tavg_1hr_glo_L1440x721_slv, and xgc_tavg_1hr_glo_L1440x721_slv. Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF rpl htf v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_rpl_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_htf.md.txt) | | This dataset contains meteorological replay (rpl) of high-temporal frequency data (htf). The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office (GMAO). GEOS-CF offers a new tool for atmospheric chemistry research, with the ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GEOS-CF rpl tavg1hr v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_rpl_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_tavg1hr.md.txt) | | This dataset contains meteorological replay (rpl) of time-average one hour data (tavg1hr). It is built by merging the original GEOS-CF collections chm_tavg_1hr_g1440x721_v1, met_tavg_1hr_g1440x721_x1, and xgc_tavg_1hr_g1440x721_x1. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GFPLAIN250m: Global 250m Floodplain Dataset ![](https://developers.google.com/earth-engine/datasets/images/IAHS/IAHS_GFPLAIN250_v0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IAHS_GFPLAIN250_v0.md.txt) | | The GFPLAIN250m includes raster data of Earth's floodplains identified using a geomorphic approach presented in Nardi et al. (2006, 2018). The 250m floodplain dataset is derived by processing the NASA SRTM Digital Elevation model gathered from http://srtm.csi.cgiar.org/, and in particular the 250-m SRTM version 4.1 ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [monitoring](https://developers.google.com/earth-engine/datasets/tags/monitoring.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### GFS: Global Forecast System 384-Hour Predicted Atmosphere Data ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GFS0P25_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GFS0P25.md.txt) | | The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). The GFS dataset consists of selected model outputs (described below) as gridded forecast variables. The 384-hour forecasts, with 1-hour (up to 120 hours) and 3-hour (after ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) | - |---| | [### GFSAD1000: Cropland Extent 1km Multi-Study Crop Mask, Global Food-Support Analysis Data ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GFSAD1000_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GFSAD1000_V1.md.txt) | | The GFSAD is a NASA-funded project to provide high-resolution global cropland data and their water use that contributes towards global food security in the twenty-first century. The GFSAD products are derived through multi-sensor remote sensing data (e.g., Landsat, MODIS, AVHRR), secondary data, and field-plot data ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### GFW (Global Fishing Watch) Daily Fishing Hours ![](https://developers.google.com/earth-engine/datasets/images/GFW/GFW_GFF_V1_fishing_hours_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GFW_GFF_V1_fishing_hours.md.txt) | | Fishing effort, measured in hours of inferred fishing activity. Each asset is the effort for a given flag state and day, with one band for the fishing activity of each gear type. See sample Earth Engine scripts. Also see the main GFW site for program ... | | [fishing](https://developers.google.com/earth-engine/datasets/tags/fishing.md.txt) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GFW (Global Fishing Watch) Daily Vessel Hours ![](https://developers.google.com/earth-engine/datasets/images/GFW/GFW_GFF_V1_vessel_hours_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GFW_GFF_V1_vessel_hours.md.txt) | | Fishing vessel presence, measured in hours per square km. Each asset is the vessel presence for a given flag state and day, with one band for the presence of each gear type. See sample Earth Engine scripts. Also see the main GFW site for program ... | | [fishing](https://developers.google.com/earth-engine/datasets/tags/fishing.md.txt) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_SMOD_V2-0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD_V2-0.md.txt) | | This raster dataset represents a global, multitemporal rural-urban classification, applying the "Degree of Urbanisation" stage I methodology recommended by UN Statistical Commission, based on global gridded population and built-up surface data generated by the GHSL project for the epochs 1975-2030 in 5-year intervals. The Degree ... | | [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [sdg](https://developers.google.com/earth-engine/datasets/tags/sdg.md.txt) [settlement](https://developers.google.com/earth-engine/datasets/tags/settlement.md.txt) | - |---| | [### GHSL: Global building height 2018 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H.md.txt) | | This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [building](https://developers.google.com/earth-engine/datasets/tags/building.md.txt) [built](https://developers.google.com/earth-engine/datasets/tags/built.md.txt) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment.md.txt) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) | - |---| | [### GHSL: Global building volume 1975-2030 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_V_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V.md.txt) | | This raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [building](https://developers.google.com/earth-engine/datasets/tags/building.md.txt) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl.md.txt) | - |---| | [### GHSL: Global built-up surface 10m (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_S_10m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S_10m.md.txt) | | This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 10 m grid cell, for 2018 as observed from the S2 image data. The datasets measure: a) the total built-up surface, and b) the built-up surface allocated to grid cells of ... | | [built](https://developers.google.com/earth-engine/datasets/tags/built.md.txt) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment.md.txt) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) | - |---| | [### GHSL: Global built-up surface 1975-2030 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_S_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S.md.txt) | | This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 100 m grid cell. The dataset measures: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. Data are spatially-temporally interpolated or ... | | [built](https://developers.google.com/earth-engine/datasets/tags/built.md.txt) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment.md.txt) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) | - |---| | [### GHSL: Global population surfaces 1975-2030 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_POP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_POP.md.txt) | | This raster dataset depicts the spatial distribution of residential population, expressed as the absolute number of inhabitants of the cell. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or ... | | [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [sdg](https://developers.google.com/earth-engine/datasets/tags/sdg.md.txt) | - |---| | [### GHSL: Global settlement characteristics (10 m) 2018 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_C_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_C.md.txt) | | This spatial raster dataset delineates human settlements at 10 m resolution, and describes their inner characteristics in terms of the functional and height-related components of the built environment. More information about the GHSL data products can be found in the GHSL Data Package 2023 report ... | | [building](https://developers.google.com/earth-engine/datasets/tags/building.md.txt) [built](https://developers.google.com/earth-engine/datasets/tags/built.md.txt) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl.md.txt) [height](https://developers.google.com/earth-engine/datasets/tags/height.md.txt) | - |---| | [### GIMMS NDVI From AVHRR Sensors (3rd Generation) ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GIMMS_3GV0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GIMMS_3GV0.md.txt) | | GIMMS NDVI is generated from several NOAA's AVHRR sensors for a global 1/12-degree lat/lon grid. The latest version of the GIMMS NDVI dataset is named NDVI3g (third generation GIMMS NDVI from AVHRR sensors). | | [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### GLCF: Landsat Global Inland Water ![](https://developers.google.com/earth-engine/datasets/images/GLCF/GLCF_GLS_WATER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GLCF_GLS_WATER.md.txt) | | The Global Inland Water dataset shows inland surface water bodies, including fresh and saline lakes, rivers, and reservoirs. From the GLS 2000 epoch, 3,650,723 km2 of inland water were identified, around three quarters of which were in North America and Asia. Boreal forests and tundra ... | | [glcf](https://developers.google.com/earth-engine/datasets/tags/glcf.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [umd](https://developers.google.com/earth-engine/datasets/tags/umd.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### GLDAS-2.1: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V021_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V021_NOAH_G025_T3H.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GLDAS-2.2: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GLIMS 2023: Global Land Ice Measurements From Space ![](https://developers.google.com/earth-engine/datasets/images/GLIMS/GLIMS_20230607_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GLIMS_20230607.md.txt) | | Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. The project seeks to create a globally comprehensive inventory of land ice, including measurements of glacier area, geometry, surface velocity, and snow line ... | | [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [glacier](https://developers.google.com/earth-engine/datasets/tags/glacier.md.txt) [glims](https://developers.google.com/earth-engine/datasets/tags/glims.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GLIMS Current: Global Land Ice Measurements From Space ![](https://developers.google.com/earth-engine/datasets/images/GLIMS/GLIMS_current_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GLIMS_current.md.txt) | | Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. The project seeks to create a globally comprehensive inventory of land ice, including measurements of glacier area, geometry, surface velocity, and snow line ... | | [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [glacier](https://developers.google.com/earth-engine/datasets/tags/glacier.md.txt) [glims](https://developers.google.com/earth-engine/datasets/tags/glims.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GLOBathy Global lakes bathymetry dataset ![](https://developers.google.com/earth-engine/datasets/images/sat-io/projects_sat-io_open-datasets_GLOBathy_GLOBathy_bathymetry_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_sat-io_open-datasets_GLOBathy_GLOBathy_bathymetry.md.txt) | | The GLObal Bathymetric (GLOBathy) dataset, comprising data on over 1.4 million waterbodies globally, has been meticulously developed to harmonize with the widely recognized HydroLAKES dataset. Utilizing a sophisticated Geographic Information System (GIS)-based framework, GLOBathy constructs detailed bathymetric maps by integrating maximum depth estimates and geometric/geophysical ... | | [bathymetry](https://developers.google.com/earth-engine/datasets/tags/bathymetry.md.txt) [community-dataset](https://developers.google.com/earth-engine/datasets/tags/community-dataset.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [sat-io](https://developers.google.com/earth-engine/datasets/tags/sat-io.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### GMTED2010: Global Multi-resolution Terrain Elevation Data 2010 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GMTED2010_FULL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GMTED2010_FULL.md.txt) | | The Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) dataset contains elevation data for the globe collected from various sources at 7.5 arc-seconds resolution. More details are available in the dataset report. The primary source dataset for GMTED2010 is NGA''s SRTM Digital Terrain Elevation Data (DTED®, ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### GOES-16 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_FDCC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCC.md.txt) | | The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) | - |---| | [### GOES-16 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_FDCF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCF.md.txt) | | The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) | - |---| | [### GOES-16 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-r](https://developers.google.com/earth-engine/datasets/tags/goes-r.md.txt) | - |---| | [### GOES-16 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-r](https://developers.google.com/earth-engine/datasets/tags/goes-r.md.txt) | - |---| | [### GOES-16 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-r](https://developers.google.com/earth-engine/datasets/tags/goes-r.md.txt) | - |---| | [### GOES-17 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_FDCC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_FDCC.md.txt) | | The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) | - |---| | [### GOES-17 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_FDCF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_FDCF.md.txt) | | The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) | - |---| | [### GOES-17 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) [mcmip](https://developers.google.com/earth-engine/datasets/tags/mcmip.md.txt) | - |---| | [### GOES-17 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) [mcmip](https://developers.google.com/earth-engine/datasets/tags/mcmip.md.txt) | - |---| | [### GOES-17 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) [mcmip](https://developers.google.com/earth-engine/datasets/tags/mcmip.md.txt) | - |---| | [### GOES-18 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_FDCC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCC.md.txt) | | The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) | - |---| | [### GOES-18 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_FDCF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCF.md.txt) | | The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) | - |---| | [### GOES-18 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) [goes-west](https://developers.google.com/earth-engine/datasets/tags/goes-west.md.txt) | - |---| | [### GOES-18 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) [goes-west](https://developers.google.com/earth-engine/datasets/tags/goes-west.md.txt) | - |---| | [### GOES-18 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) [goes-west](https://developers.google.com/earth-engine/datasets/tags/goes-west.md.txt) | - |---| | [### GOES-19 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_FDCC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_FDCC.md.txt) | | GOES satellites are geostationary weather satellites run by NOAA. The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) | - |---| | [### GOES-19 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_FDCF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_FDCF.md.txt) | | The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [fdc](https://developers.google.com/earth-engine/datasets/tags/fdc.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) | - |---| | [### GOES-19 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-u](https://developers.google.com/earth-engine/datasets/tags/goes-u.md.txt) | - |---| | [### GOES-19 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-u](https://developers.google.com/earth-engine/datasets/tags/goes-u.md.txt) | - |---| | [### GOES-19 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-u](https://developers.google.com/earth-engine/datasets/tags/goes-u.md.txt) | - |---| | [### GPM: Global Precipitation Measurement (GPM) Release 07 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_V07_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_V07.md.txt) | | Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GPM: Monthly Global Precipitation Measurement (GPM) v6 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_MONTHLY_V06_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_MONTHLY_V06.md.txt) | | IMERG-Final version "06" stopped being produced in September, 2021. Version "07" is expected to be released in September 2022 Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### GPM: Monthly Global Precipitation Measurement (GPM) vRelease 07 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_MONTHLY_V07_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_MONTHLY_V07.md.txt) | | Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### GPW Annual Dominant Class of Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c.md.txt) | | This dataset provides global annual dominant class maps of grasslands (cultivated and natural/semi-natural) from 2000 to 2022 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### GPW Annual Probabilities of Cultivated Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p.md.txt) | | This dataset provides global annual probability maps of cultivated grassland from 2000 to 2022 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### GPW Annual Probabilities of Natural/Semi-natural Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p.md.txt) | | This dataset provides global annual probability maps of natural/semi-natural grassland from 2000 to 2022 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### GPW Annual livestock headcount FAOSTAT-adjusted v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_gld-1km_v1_livestock-headcount-faostat_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_gld-1km_v1_livestock-headcount-faostat_m.md.txt) | | This dataset provides global livestock headcount from 2000 to 2022 at 1-km spatial resolution. Produced by the Land \& Carbon Lab's Global Pasture Watch initiative, the current dataset provides global headcount predictions adjusted to FAOSTAT national statistics. The dataset is based on the largest known ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) | - |---| | [### GPW Annual short vegetation height v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_gsvh-30m_v1_short-veg-height_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_gsvh-30m_v1_short-veg-height_m.md.txt) | | This dataset provides global median vegetation height from 2000 at 30-m spatial resolution. Produced by the Land \& Carbon Lab's Global Pasture Watch initiative, this dataset provides median vegetation height values (50th percentile) globally at 30-m spatial resolution from 2000 onwards. The dataset is based ... | | [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### GPW Annual uncalibrated Gross Primary Productivity (uGPP) v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggpp-30m_v1_ugpp_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggpp-30m_v1_ugpp_m.md.txt) | | This dataset provides global uncalibrated EO-based Gross Primary Productivity from 2000 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the current dataset provides Gross Primary Productivity (GPP) values globally at 30-m spatial resolution from 2000 onwards. GPP values ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### GPWv411: Adjusted to Match 2015 Revision of UN WPP Country Totals (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Count_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Count.md.txt) | | This dataset contains estimates of the number of persons per 30 arc-second grid cell, consistent with national censuses and population registers with respect to relative spatial distribution but adjusted to match the 2015 Revision of UN World Population Prospects country totals. There is one image ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Basic Demographic Characteristics (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Basic_Demographic_Characteristics_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Basic_Demographic_Characteristics.md.txt) | | This dataset contains population estimates, by age and sex, per 30 arc-second grid cell consistent with national censuses and population registers. There is one image for each modeled age and sex category based on the 2010 round of Census. General Documentation The Gridded Population of ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Data Context (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Data_Context_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Data_Context.md.txt) | | This dataset categorizes pixels with estimated zero population based on information provided in the census documents. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Land Area (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Land_Area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Land_Area.md.txt) | | This dataset contains the estimate of the surface area of land in square kilometers per pixel, excluding permanent ice and water, within each pixel, and was used to calculate the GPW v4.11 population density datasets. General Documentation The Gridded Population of World Version 4 (GPWv4), ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Mean Administrative Unit Area (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Mean_Administrative_Unit_Area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Mean_Administrative_Unit_Area.md.txt) | | This dataset contains the mean area of the input unit(s) from which population count and density grids are created. General documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: National Identifier Grid (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_National_Identifier_Grid_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_National_Identifier_Grid.md.txt) | | This dataset represents the Census data source used to produce the GPW v4.11 populations estimates. Pixels that have the same value reflect the same data source, most often a country or territory. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Population Count (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Population_Count_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Population_Count.md.txt) | | This dataset contains estimates of the number of persons per 30 arc-second grid cell consistent with national censuses and population registers. There is one image for each modeled year. General Documentation Note: Because this collection has a pyramid policy of MEAN, zooming out results in ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Population Density (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Population_Density_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Population_Density.md.txt) | | This dataset contains estimates of the number of persons per square kilometer consistent with national censuses and population registers. There is one image for each modeled year. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: UN-Adjusted Population Density (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Density_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Density.md.txt) | | This dataset contains estimates of the number of persons per 30 arc-second grid cell, consistent with national censuses and population registers with respect to relative spatial distribution but adjusted to match the 2015 Revision of UN World Population Prospects country totals. There is one image ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Water Area (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Water_Area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Water_Area.md.txt) | | This dataset contains estimates of the water area (permanent ice and water) within each pixel, and was used to calculate the GPW v4.11 population density datasets. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### GPWv411: Water Mask (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Water_Mask_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Water_Mask.md.txt) | | This dataset identifies water pixels; non-water pixels are masked. The water mask was used to exclude areas of water and permanent ice from the population allocation. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### GRACE Monthly Mass Grids - Ocean EOFR ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_OCEAN_EOFR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_OCEAN_EOFR.md.txt) | | GRACE Tellus Monthly Mass Grids provides monthly gravitational anomalies relative to a 2004-2010 time-mean baseline. The data contained in this dataset are units of "Equivalent Water Thickness" which represent the deviations of mass in terms of vertical extent of water in centimeters. See the provider's ... | | [crs](https://developers.google.com/earth-engine/datasets/tags/crs.md.txt) [gfz](https://developers.google.com/earth-engine/datasets/tags/gfz.md.txt) [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) | - |---| | [### GRACE Monthly Mass Grids Release 06 Version 04 - Land ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_LAND_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_LAND.md.txt) | | The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE \& GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The equivalent water thickness represents the total terrestrial water storage anomalies ... | | [crs](https://developers.google.com/earth-engine/datasets/tags/crs.md.txt) [gfz](https://developers.google.com/earth-engine/datasets/tags/gfz.md.txt) [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GRACE Monthly Mass Grids Release 06 Version 04 - Ocean ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_OCEAN_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_OCEAN.md.txt) | | GRACE Tellus Monthly Mass Grids provides monthly gravitational anomalies relative to a 2004-2010 time-mean baseline. The data contained in this dataset are units of "Equivalent Water Thickness" which represent the deviations of mass in terms of vertical extent of water in centimeters. See the provider's ... | | [crs](https://developers.google.com/earth-engine/datasets/tags/crs.md.txt) [gfz](https://developers.google.com/earth-engine/datasets/tags/gfz.md.txt) [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) | - |---| | [### GRACE Monthly Mass Grids Release 6.3 Version 4 - Global Mascons ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_MASCON_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_MASCON.md.txt) | | This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.3Mv04). These data are provided in a single data file in netCDF format, and can be used for analysis ... | | [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mascon](https://developers.google.com/earth-engine/datasets/tags/mascon.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GRACE Monthly Mass Grids Version 04 - Global Mascon (CRI Filtered) ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_MASCON_CRI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_MASCON_CRI.md.txt) | | This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.3Mv04). These data are provided in a single data file in netCDF format, and can be used for analysis ... | | [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mascon](https://developers.google.com/earth-engine/datasets/tags/mascon.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GRIDMET DROUGHT: CONUS Drought Indices ![](https://developers.google.com/earth-engine/datasets/images/GRIDMET/GRIDMET_DROUGHT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GRIDMET_DROUGHT.md.txt) | | This dataset contains drought indices derived from the 4-km daily Gridded Surface Meteorological (GRIDMET) dataset. The drought indices provided include the standardized precipitation index (SPI), the evaporative drought demand index (EDDI), the standardized precipitation evapotranspiration index (SPEI), the Palmer Drought Severity Index (PDSI) and Palmer ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GRIDMET: University of Idaho Gridded Surface Meteorological Dataset ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_GRIDMET_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET.md.txt) | | The Gridded Surface Meteorological dataset provides high spatial resolution (\~4-km) daily surface fields of temperature, precipitation, winds, humidity and radiation across the contiguous United States from 1979. The dataset blends the high resolution spatial data from PRISM with the high temporal resolution data from the ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [gridmet](https://developers.google.com/earth-engine/datasets/tags/gridmet.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [merced](https://developers.google.com/earth-engine/datasets/tags/merced.md.txt) [metdata](https://developers.google.com/earth-engine/datasets/tags/metdata.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Operational: Global Satellite Mapping of Precipitation - V6 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v6_operational_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_operational.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Operational: Global Satellite Mapping of Precipitation - V7 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v7_operational_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v7_operational.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Operational: Global Satellite Mapping of Precipitation - V8 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v8_operational_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v8_operational.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Reanalysis: Global Satellite Mapping of Precipitation ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v6_reanalysis_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_reanalysis.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GTOPO30: Global 30 Arc-Second Elevation ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GTOPO30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GTOPO30.md.txt) | | GTOPO30 is a global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). The DEM was derived from several raster and vector sources of topographic information. Completed in late 1996, GTOPO30 was developed over a three-year period through ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### GlobCover: Global Land Cover Map ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_GLOBCOVER_L4_200901_200912_V2_3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_GLOBCOVER_L4_200901_200912_V2_3.md.txt) | | GlobCover 2009 is a global land cover map based on ENVISAT's Medium Resolution Imaging Spectrometer (MERIS) Level 1B data acquired in full resolution mode with a spatial resolution of approximately 300 meters. | | [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### GlobFire Daily Fire Event Detection Based on MCD64A1 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GWIS_GlobFire_v2_DailyPerimeters_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GWIS_GlobFire_v2_DailyPerimeters.md.txt) | | Fire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. | | [area](https://developers.google.com/earth-engine/datasets/tags/area.md.txt) [burnt](https://developers.google.com/earth-engine/datasets/tags/burnt.md.txt) [disaster](https://developers.google.com/earth-engine/datasets/tags/disaster.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [globfire](https://developers.google.com/earth-engine/datasets/tags/globfire.md.txt) [mcd64a1](https://developers.google.com/earth-engine/datasets/tags/mcd64a1.md.txt) | - |---| | [### GlobFire Final Fire Event Detection Based on MCD64A1 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GWIS_GlobFire_v2_FinalPerimeters_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GWIS_GlobFire_v2_FinalPerimeters.md.txt) | | Fire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. | | [area](https://developers.google.com/earth-engine/datasets/tags/area.md.txt) [burnt](https://developers.google.com/earth-engine/datasets/tags/burnt.md.txt) [disaster](https://developers.google.com/earth-engine/datasets/tags/disaster.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [globfire](https://developers.google.com/earth-engine/datasets/tags/globfire.md.txt) [mcd64a1](https://developers.google.com/earth-engine/datasets/tags/mcd64a1.md.txt) | - |---| | [### Global 2020 Forest Classification for IPCC Aboveground Biomass Tier 1 Estimates, V1 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ORNL_global_forest_classification_2020_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_global_forest_classification_2020_V1.md.txt) | | This dataset provides classes of global forests delineated by status/condition in 2020 at approximately 30m resolution. The data support generating Tier 1 estimates for Aboveground dry woody Biomass Density (AGBD) in natural forests in the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse ... | | [aboveground](https://developers.google.com/earth-engine/datasets/tags/aboveground.md.txt) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [classification](https://developers.google.com/earth-engine/datasets/tags/classification.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) | - |---| | [### Global 3-class PALSAR-2/PALSAR Forest/Non-Forest Map ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR_YEARLY_FNF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_FNF.md.txt) | | A newer version of this dataset with 4 classes for 2017-2020 can be found in JAXA/ALOS/PALSAR/YEARLY/FNF4 The global forest/non-forest map (FNF) is generated by classifying the SAR image (backscattering coefficient) in the global 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and low backscatter pixels ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [classification](https://developers.google.com/earth-engine/datasets/tags/classification.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) | - |---| | [### Global 4-class PALSAR-2/PALSAR Forest/Non-Forest Map ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR_YEARLY_FNF4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_FNF4.md.txt) | | The global forest/non-forest map (FNF) is generated by classifying the SAR image (backscattering coefficient) in the global 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and low backscatter pixels are assigned as "forest" and "non-forest", respectively. Here, "forest" is defined as the natural forest with ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [classification](https://developers.google.com/earth-engine/datasets/tags/classification.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) | - |---| | [### Global ALOS CHILI (Continuous Heat-Insolation Load Index) ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_ALOS_CHILI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_ALOS_CHILI.md.txt) | | CHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. It is based on the 30m "AVE" band of JAXA's ALOS DEM (available in EE as JAXA/ALOS/AW3D30_V1_1). The Conservation Science ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global ALOS Landforms ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_ALOS_landforms_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_ALOS_landforms.md.txt) | | The ALOS Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (ALOS CHILI) and the multi-scale Topographic Position Index (ALOS mTPI) datasets. It is based on the 30m "AVE" band of JAXA's ALOS DEM (available in EE as JAXA/ALOS/AW3D30_V1_1). The Conservation ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global ALOS Topographic Diversity ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_ALOS_topoDiversity_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_ALOS_topoDiversity.md.txt) | | Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global ALOS mTPI (Multi-Scale Topographic Position Index) ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_ALOS_mTPI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_ALOS_mTPI.md.txt) | | The mTPI distinguishes ridge from valley forms. It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the 30m ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global Aboveground and Belowground Biomass Carbon Density Maps ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ORNL_biomass_carbon_density_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_biomass_carbon_density_v1.md.txt) | | This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were ... | | [aboveground](https://developers.google.com/earth-engine/datasets/tags/aboveground.md.txt) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [density](https://developers.google.com/earth-engine/datasets/tags/density.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) | - |---| | [### Global Annual Mangrove Extent (1984-2023) ![](https://developers.google.com/earth-engine/datasets/images/mangrovedatahub2/projects_mangrovedatahub2_assets_CGMD-Extent30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_mangrovedatahub2_assets_CGMD-Extent30.md.txt) | | The CGMD-Extent30 (Continuous Global Mangrove Dynamics-Annual Mangrove Extent at 30-m resolution) dataset provides global annual mangrove extent from 1984 to 2023. The dataset is distributed as a single Earth Engine FeatureCollection, with each feature representing a mapped mangrove polygon for a specific year. The dataset ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [coastal](https://developers.google.com/earth-engine/datasets/tags/coastal.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Global Annual Mangrove Fractional Canopy Cover (1984-2023) ![](https://developers.google.com/earth-engine/datasets/images/mangrovedatahub2/projects_mangrovedatahub2_assets_CGMD-AFCC30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_mangrovedatahub2_assets_CGMD-AFCC30.md.txt) | | This dataset provides global annual mangrove fractional canopy cover (FCC) at 30-m spatial resolution from 1984 to 2023 to support large-scale analyses of long-term mangrove dynamics, including canopy degradation and recovery, blue carbon assessment, and coastal ecosystem monitoring. FCC quantifies the proportion of each Landsat ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [coastal](https://developers.google.com/earth-engine/datasets/tags/coastal.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [mangrove](https://developers.google.com/earth-engine/datasets/tags/mangrove.md.txt) | - |---| | [### Global Flood Database v1 (2000-2018) ![](https://developers.google.com/earth-engine/datasets/images/GLOBAL_FLOOD_DB/GLOBAL_FLOOD_DB_MODIS_EVENTS_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GLOBAL_FLOOD_DB_MODIS_EVENTS_V1.md.txt) | | The Global Flood Database contains maps of the extent and temporal distribution of 913 flood events occurring between 2000-2018. For more information, see the associated journal article. Flood events were collected from the Dartmouth Flood Observatory and used to collect MODIS imagery. The selected 913 ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### Global Forest Canopy Height, 2005 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_JPL_global_forest_canopy_height_2005_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_JPL_global_forest_canopy_height_2005.md.txt) | | This dataset represents global tree heights based on a fusion of spaceborne-lidar data (2005) from the Geoscience Laser Altimeter System (GLAS) and ancillary geospatial data. See Simard et al. (2011) for details. | | [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_MEASURES_GFCC_TC_v3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_MEASURES_GFCC_TC_v3.md.txt) | | The Landsat Vegetation Continuous Fields (VCF) tree cover layers contain estimates of the percentage of horizontal ground in each 30-m pixel covered by woody vegetation greater than 5 meters in height. The dataset is available for four epochs centered on the years 2000, 2005, 2010 ... | | [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [glcf](https://developers.google.com/earth-engine/datasets/tags/glcf.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [umd](https://developers.google.com/earth-engine/datasets/tags/umd.md.txt) | - |---| | [### Global Mangrove Forests Distribution, v1 (2000) ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_MANGROVE_FORESTS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_MANGROVE_FORESTS.md.txt) | | The database was prepared using Landsat satellite data from the year 2000. More than 1,000 Landsat scenes obtained from the USGS Earth Resources Observation and Science Center (EROS) were classified using hybrid supervised and unsupervised digital image classification techniques. This database is the first, most ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [mangrove](https://developers.google.com/earth-engine/datasets/tags/mangrove.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Optics, Multi-Sensor 4KM ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_OPTICS_MULTI_4KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_OPTICS_MULTI_4KM.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Plankton, Multi-Sensor, 4KM ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_PLANKTON_MULTI_4KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_PLANKTON_MULTI_4KM.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Plankton, OLCI, 300M ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_PLANKTON_OLCI_300M_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_PLANKTON_OLCI_300M.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Primary Production, Multi-Sensor 4KM ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_PRIMARY_PRODUCTION_MULTI_4KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_PRIMARY_PRODUCTION_MULTI_4KM.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Reflectance, Multi-Sensor 4KM ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_REFLECTANCE_MULTI_4KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_REFLECTANCE_MULTI_4KM.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Reflectance, OLCI 300M ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_REFLECTANCE_OLCI_300M_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_REFLECTANCE_OLCI_300M.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Transparency, Multi-Sensor, 4KM ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_TRANSPARENCY_MULTI_4KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_TRANSPARENCY_MULTI_4KM.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Colour: Bio-Geo-Chemical, L4, from Satellite Observations, Transparency, OLCI, 4KM ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_OC_GLO_BGC_TRANSPARENCY_OLCI_4KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_OC_GLO_BGC_TRANSPARENCY_OLCI_4KM.md.txt) | | The Global Ocean Colour (Copernicus-GlobColour) dataset is a Bio-Geo-Chemical (BGC) product developed by ACRI-ST. Derived from multiple satellite sources like SeaWiFS, MODIS, and OLCI. It provides a comprehensive range of oceanographic variables, including: Chlorophyll (CHL), Phytoplankton Functional types and sizes (PFT), Primary Production (PP), Suspended ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Physics Analysis and Forecast Daily ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_PHY_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_ANALYSISFORECAST_PHY_DAILY.md.txt) | | Copernicus Marine Physics 2D Daily Mean Fields (cmems_mod_glo_phy_anfc_0.083deg_P1D-m) deliver global daily-averaged ocean surface and bottom variables at 8km resolution. The Operational Mercator global ocean analysis and forecast system is providing 10 days of 2D global ocean forecasts updated daily. The time series is aggregated in ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Waves Analysis and Forecast ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_WAV_ANFC_0_083DEG_PT3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_WAV_ANFC_0_083DEG_PT3H.md.txt) | | The operational global ocean analysis and forecast system of Meteo-France with a resolution of 1/12 degree is providing daily analyses and 10 days forecasts for the global ocean sea surface waves. This product includes 3-hourly instantaneous fields of integrated wave parameters from the total spectrum ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Ocean Waves Static Bathymetry ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_WAV_ANFC_0_083DEG_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_WAV_ANFC_0_083DEG_STATIC.md.txt) | | Static bathymetry for the Global Ocean Waves Analysis and Forecast system. This dataset provides the sea floor depth in meters. The global wave system of Meteo-France is based on the wave model MFWAM which is a third generation wave model. MFWAM uses the computing code ... | | [bathymetry](https://developers.google.com/earth-engine/datasets/tags/bathymetry.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Global Oil Palm Extent and Planting Year (1990-2021) v1.2 ![](https://developers.google.com/earth-engine/datasets/images/BIOPAMA/BIOPAMA_GlobalOilPalm_v1_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/BIOPAMA_GlobalOilPalm_v1_2.md.txt) | | Global oil palm extent for 2016-2021 at 10 m resolution and oil palm planting year from 1990 to 2021 at 30 m resolution. The dataset consists of 609 100x100 km grid tiles covering tropical and subtropical oil-palm-growing regions worldwide, mapping 23.98 Mha of closed-canopy oil ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) | - |---| | [### Global PALSAR-2/PALSAR Yearly Mosaic, version 1 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR_YEARLY_SAR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_SAR.md.txt) | | A newer version of this dataset with data for 2015-2021 can be found in JAXA/ALOS/PALSAR/YEARLY/SAR_EPOCH The global 25m PALSAR/PALSAR-2 mosaic is a seamless global SAR image created by mosaicking strips of SAR imagery from PALSAR/PALSAR-2. For each year and location, the strip data were selected ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [palsar](https://developers.google.com/earth-engine/datasets/tags/palsar.md.txt) [palsar2](https://developers.google.com/earth-engine/datasets/tags/palsar2.md.txt) | - |---| | [### Global PALSAR-2/PALSAR Yearly Mosaic, version 2.5.0 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR_YEARLY_SAR_EPOCH_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_SAR_EPOCH.md.txt) | | The global 25m PALSAR/PALSAR-2 mosaic is a seamless global SAR image created by mosaicking strips of SAR imagery from PALSAR/PALSAR-2. For each year and location, the strip data were selected through visual inspection of the browse mosaics available over the period, with those showing minimum ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos.md.txt) [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [palsar](https://developers.google.com/earth-engine/datasets/tags/palsar.md.txt) [palsar2](https://developers.google.com/earth-engine/datasets/tags/palsar2.md.txt) | - |---| | [### Global Power Plant Database ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_GPPD_power_plants_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_GPPD_power_plants.md.txt) | | The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights. Each power plant is geolocated and entries contain information on plant capacity, generation, ... | | [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### Global SRTM CHILI (Continuous Heat-Insolation Load Index) ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_SRTM_CHILI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_SRTM_CHILI.md.txt) | | CHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. It is based on the 30m SRTM DEM (available in EE as USGS/SRTMGL1_003). The Conservation Science Partners (CSP) Ecologically Relevant ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global SRTM Landforms ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_SRTM_landforms_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_SRTM_landforms.md.txt) | | The SRTM Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (SRTM CHILI) and the multi-scale Topographic Position Index (SRTM mTPI) datasets. It is based on the 30m SRTM DEM (available in EE as USGS/SRTMGL1_003). The Conservation Science Partners (CSP) Ecologically ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global SRTM Topographic Diversity ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_SRTM_topoDiversity_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_SRTM_topoDiversity.md.txt) | | Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global SRTM mTPI (Multi-Scale Topographic Position Index) ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_Global_SRTM_mTPI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_SRTM_mTPI.md.txt) | | The mTPI distinguishes ridge from valley forms. It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the 30m ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Backscatter ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_BACKSCATTER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_BACKSCATTER.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter.md.txt) [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Coherence ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_COHERENCE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_COHERENCE.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Decay Model Parameters ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_DECAY_MODEL_PARAMETERS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_DECAY_MODEL_PARAMETERS.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Incidence Layover Shadow ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_INCIDENCE_LAYOVER_SHADOW_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_INCIDENCE_LAYOVER_SHADOW.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### Global map of Local Climate Zones, latest version ![](https://developers.google.com/earth-engine/datasets/images/RUB/RUB_RUBCLIM_LCZ_global_lcz_map_latest_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/RUB_RUBCLIM_LCZ_global_lcz_map_latest.md.txt) | | Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for characterizing urban landscapes, providing a holistic classification approach that takes into account micro-scale land-cover and associated physical properties. This global map of Local Climate Zones, at 100m pixel size and ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) | - |---| | [### Google Global Landsat-based CCDC Segments (1999-2019) ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_GLOBAL_CCDC_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_GLOBAL_CCDC_V1.md.txt) | | This collection contains precomputed results from running the Continuous Change Detection and Classification (CCDC) algorithm on 20 years of Landsat surface reflectance data. CCDC is a break-point finding algorithm that uses harmonic fitting with a dynamic RMSE threshold to detect breakpoints in time-series data. The ... | | [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Google Street View Air Quality: High Resolution Air Pollution Mapping in California ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_AirView_California_Unified_2015_2019_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_AirView_California_Unified_2015_2019.md.txt) | | This large vector dataset contains high resolution air pollution mapping of NO, NO2, O3, CH4, CO2, BC, PN2.5, and UFP concentrations in California between June 2015 and June 2019. The dataset consists of measurements collected using four Google Street View vehicles equipped with the Aclima ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [nitrogen-dioxide](https://developers.google.com/earth-engine/datasets/tags/nitrogen-dioxide.md.txt) [pollution](https://developers.google.com/earth-engine/datasets/tags/pollution.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### Greenland DEM - Greenland Mapping Project (GIMP) ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_DEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_DEM.md.txt) | | This Digital Elevation Model (DEM) is constructed from a combination of ASTER and SPOT-5 DEM's for the ice sheet periphery and margin (i.e. below the equilbrium line elevation) south of approximately 82.5°N and AVHRR photoclinometry in the ice sheet interior and far north (Scambos and ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polar](https://developers.google.com/earth-engine/datasets/tags/polar.md.txt) | - |---| | [### Greenland Ice \& Ocean Mask - Greenland Mapping Project (GIMP) ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_2000_ICE_OCEAN_MASK_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_2000_ICE_OCEAN_MASK.md.txt) | | This dataset provides complete land ice and ocean classification masks at 15 m for the Greenland ice sheet. Ice cover was mapped using a combination of orthorectified panchromatic (band 8) imagery from the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), distributed by the USGS, and ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 12KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_12KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_12KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 1KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_1KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_1KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 6KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_6KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_6KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density, 12KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_V1_12KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_V1_12KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density, 1KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_V1_1KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_V1_1KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density, 6KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_V1_6KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_V1_6KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### HLSL30: HLS-2 Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_HLS_HLSL30_v002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSL30_v002.md.txt) | | The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance (SR) and top of atmosphere (TOA) brightness data from a virtual constellation of satellite sensors. The Operational Land Imager (OLI) is housed aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites, while the Multi-Spectral ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel](https://developers.google.com/earth-engine/datasets/tags/sentinel.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### HLSS30: HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_HLS_HLSS30_v002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSS30_v002.md.txt) | | The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard Europe's Copernicus Sentinel-2A satellites. The combined measurement enables global observations of the land every 2-3 ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel](https://developers.google.com/earth-engine/datasets/tags/sentinel.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### HUC02: USGS Watershed Boundary Dataset of Regions ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_WBD_2017_HUC02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC02.md.txt) | | The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there ... | | [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [watershed](https://developers.google.com/earth-engine/datasets/tags/watershed.md.txt) | - |---| | [### HUC04: USGS Watershed Boundary Dataset of Subregions ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_WBD_2017_HUC04_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC04.md.txt) | | The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there ... | | [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [watershed](https://developers.google.com/earth-engine/datasets/tags/watershed.md.txt) | - |---| | [### HUC06: USGS Watershed Boundary Dataset of Basins ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_WBD_2017_HUC06_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC06.md.txt) | | The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there ... | | [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [watershed](https://developers.google.com/earth-engine/datasets/tags/watershed.md.txt) | - |---| | [### HUC08: USGS Watershed Boundary Dataset of Subbasins ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_WBD_2017_HUC08_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC08.md.txt) | | The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there ... | | [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [watershed](https://developers.google.com/earth-engine/datasets/tags/watershed.md.txt) | - |---| | [### HUC10: USGS Watershed Boundary Dataset of Watersheds ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_WBD_2017_HUC10_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC10.md.txt) | | The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there ... | | [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [watershed](https://developers.google.com/earth-engine/datasets/tags/watershed.md.txt) | - |---| | [### HUC12: USGS Watershed Boundary Dataset of Subwatersheds ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_WBD_2017_HUC12_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC12.md.txt) | | The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there ... | | [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [watershed](https://developers.google.com/earth-engine/datasets/tags/watershed.md.txt) | - |---| | [### HYCOM: Hybrid Coordinate Ocean Model, Sea Surface Elevation ![](https://developers.google.com/earth-engine/datasets/images/HYCOM/HYCOM_sea_surface_elevation_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_surface_elevation.md.txt) | | The Hybrid Coordinate Ocean Model (HYCOM) is a data-assimilative hybrid isopycnal-sigma-pressure (generalized) coordinate ocean model. The subset of HYCOM data hosted in EE contains the variables salinity, temperature, velocity, and elevation. They have been interpolated to a uniform 0.08 degree lat/long grid between 80.48°S and ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [hycom](https://developers.google.com/earth-engine/datasets/tags/hycom.md.txt) [nopp](https://developers.google.com/earth-engine/datasets/tags/nopp.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### HYCOM: Hybrid Coordinate Ocean Model, Water Temperature and Salinity ![](https://developers.google.com/earth-engine/datasets/images/HYCOM/HYCOM_sea_temp_salinity_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_temp_salinity.md.txt) | | The Hybrid Coordinate Ocean Model (HYCOM) is a data-assimilative hybrid isopycnal-sigma-pressure (generalized) coordinate ocean model. The subset of HYCOM data hosted in EE contains the variables salinity, temperature, velocity, and elevation. They have been interpolated to a uniform 0.08 degree lat/long grid between 80.48°S and ... | | [hycom](https://developers.google.com/earth-engine/datasets/tags/hycom.md.txt) [nopp](https://developers.google.com/earth-engine/datasets/tags/nopp.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [sst](https://developers.google.com/earth-engine/datasets/tags/sst.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### HYCOM: Hybrid Coordinate Ocean Model, Water Velocity ![](https://developers.google.com/earth-engine/datasets/images/HYCOM/HYCOM_sea_water_velocity_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_water_velocity.md.txt) | | The Hybrid Coordinate Ocean Model (HYCOM) is a data-assimilative hybrid isopycnal-sigma-pressure (generalized) coordinate ocean model. The subset of HYCOM data hosted in EE contains the variables salinity, temperature, velocity, and elevation. They have been interpolated to a uniform 0.08 degree lat/long grid between 80.48°S and ... | | [hycom](https://developers.google.com/earth-engine/datasets/tags/hycom.md.txt) [nopp](https://developers.google.com/earth-engine/datasets/tags/nopp.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [velocity](https://developers.google.com/earth-engine/datasets/tags/velocity.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### Hansen Global Forest Change v1.13 (2000-2025) ![](https://developers.google.com/earth-engine/datasets/images/UMD/UMD_hansen_global_forest_change_2025_v1_13_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMD_hansen_global_forest_change_2025_v1_13.md.txt) | | Results from time-series analysis of Landsat images in characterizing global forest extent and change. The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands corresponding to red, NIR, SWIR1, and SWIR2. Reference composite imagery represents ... | | [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [umd](https://developers.google.com/earth-engine/datasets/tags/umd.md.txt) | - |---| | [### Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-1C (TOA) ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S2_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_HARMONIZED.md.txt) | | After 2022-01-25, Sentinel-2 scenes with PROCESSING_BASELINE '04.00' or above have their DN (value) range shifted by 1000. The HARMONIZED collection shifts data in newer scenes to be in the same range as in older scenes. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [msi](https://developers.google.com/earth-engine/datasets/tags/msi.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-2A (SR) ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S2_SR_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED.md.txt) | | After 2022-01-25, Sentinel-2 scenes with PROCESSING_BASELINE '04.00' or above have their DN (value) range shifted by 1000. The HARMONIZED collection shifts data in newer scenes to be in the same range as in older scenes. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [msi](https://developers.google.com/earth-engine/datasets/tags/msi.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### IBGE: Brazil Country Boundary 2025 ![](https://developers.google.com/earth-engine/datasets/images/IBGE/IBGE_PAIS_V2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IBGE_PAIS_V2025.md.txt) | | The Instituto Brasileiro de Geografia e Estatística (IBGE) provides official cartographic representations of the Brazilian territorial structure. This dataset represents the official national country boundary of the Federative Republic of Brazil for the reference year 2025 (Malha Territorial 2025). The dataset includes the whole territory ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [ibge](https://developers.google.com/earth-engine/datasets/tags/ibge.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) | - |---| | [### IBGE: Brazil Immediate Geographic Regions 2025 ![](https://developers.google.com/earth-engine/datasets/images/IBGE/IBGE_IMEDIATAS_V2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IBGE_IMEDIATAS_V2025.md.txt) | | The Instituto Brasileiro de Geografia e Estatística (IBGE) provides official cartographic representations of the Brazilian territorial structure. This dataset contains the boundaries of the 510 Immediate Geographic Regions (Regiões Geográficas Imediatas) of Brazil for the reference year 2025 (Malha Territorial 2025). Immediate Geographic Regions group ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [ibge](https://developers.google.com/earth-engine/datasets/tags/ibge.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### IBGE: Brazil Intermediate Geographic Regions 2025 ![](https://developers.google.com/earth-engine/datasets/images/IBGE/IBGE_INTERMEDIARIAS_V2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IBGE_INTERMEDIARIAS_V2025.md.txt) | | The Instituto Brasileiro de Geografia e Estatística (IBGE) provides official cartographic representations of the Brazilian territorial structure. This dataset contains the boundaries of the 133 Intermediate Geographic Regions (Regiões Geográficas Intermediárias) of Brazil for the reference year 2025 (Malha Territorial 2025). Intermediate Geographic Regions group ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [ibge](https://developers.google.com/earth-engine/datasets/tags/ibge.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### IBGE: Brazil Macro Regions 2025 ![](https://developers.google.com/earth-engine/datasets/images/IBGE/IBGE_REGIOES_V2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IBGE_REGIOES_V2025.md.txt) | | The Instituto Brasileiro de Geografia e Estatística (IBGE) provides official cartographic representations of the Brazilian territorial structure. This dataset contains the boundaries of the five official Macro Regions of Brazil (Norte, Nordeste, Sudeste, Sul, and Centro-Oeste) for reference year 2025 (Malha Territorial 2025). Macro regions ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [ibge](https://developers.google.com/earth-engine/datasets/tags/ibge.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### IBGE: Brazil Municipality Boundaries 2025 ![](https://developers.google.com/earth-engine/datasets/images/IBGE/IBGE_MUNICIPIOS_V2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IBGE_MUNICIPIOS_V2025.md.txt) | | The Instituto Brasileiro de Geografia e Estatística (IBGE) provides official cartographic representations of the Brazilian territorial structure. This dataset contains 5,573 spatial units representing the municipal mesh of Brazil for the reference year 2025 (Malha Territorial 2025). These 5,573 units comprise: - 5,569 municipalities (including ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [ibge](https://developers.google.com/earth-engine/datasets/tags/ibge.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### IBGE: Brazil State Boundaries 2025 (Federation Units) ![](https://developers.google.com/earth-engine/datasets/images/IBGE/IBGE_UF_V2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IBGE_UF_V2025.md.txt) | | The Instituto Brasileiro de Geografia e Estatística (IBGE) provides official cartographic representations of the Brazilian territorial structure. This dataset contains the boundaries of the 27 Federation Units (26 States and 1 Federal District) of Brazil for the reference year 2025 (Malha Territorial 2025). Federation Units ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [ibge](https://developers.google.com/earth-engine/datasets/tags/ibge.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [states](https://developers.google.com/earth-engine/datasets/tags/states.md.txt) | - |---| | [### IPCC AR6 Sea Level Projections Regional (Medium Confidence) ![](https://developers.google.com/earth-engine/datasets/images/IPCC/IPCC_AR6_SLP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IPCC_AR6_SLP.md.txt) | | The dataset provided by the IPCC features comprehensive global and regional sea level projections from the IPCC 6th Assessment Report (AR6). This collection contains assets for the medium confidence sea level rise projections. The dataset spans from 2020 to 2150 and includes projections for various ... | | [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### IUCN Global Ecosystem Typology Level 3: 1.0 ![](https://developers.google.com/earth-engine/datasets/images/IUCN/IUCN_GlobalEcosystemTypology_current_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IUCN_GlobalEcosystemTypology_current.md.txt) | | The Global Ecosystem Typology is a taxonomy of ecosystems based on their unique characteristics. It is a global classification system that provides a consistent framework for describing and classifying ecological ecosystems. The Global Ecosystem Typology has six levels. The top three levels (realms, functional biomes, ... | | [ecosystem](https://developers.google.com/earth-engine/datasets/tags/ecosystem.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### International Best Track Archive for Climate Stewardship Project ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_IBTrACS_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_IBTrACS_v4.md.txt) | | The International Best Track Archive for Climate Stewardship (IBTrACS) provides location and intensity for global tropical cyclones. The data span from the 1840s to present, generally providing data at 3-hour intervals. While the best track data is focused on position and intensity (maximum sustained wind ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [hurricane](https://developers.google.com/earth-engine/datasets/tags/hurricane.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### Iran Land Cover Map v1 13-class (2017) ![](https://developers.google.com/earth-engine/datasets/images/KNTU/KNTU_LiDARLab_IranLandCover_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/KNTU_LiDARLab_IranLandCover_V1.md.txt) | | The Iran-wide land cover map was generated by processing Sentinel imagery within the Google Earth Engine Cloud platform. For this purpose, over 2,500 Sentinel-1 and over 11,000 Sentinel-2 images were processed to produce a single mosaic dataset for the year 2017. Then, an object-based Random ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### IrrMapper Irrigated Lands, Version 1.2 ![](https://developers.google.com/earth-engine/datasets/images/UMT/UMT_Climate_IrrMapper_RF_v1_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMT_Climate_IrrMapper_RF_v1_2.md.txt) | | IrrMapper is an annual classification of irrigation status in the 11 Western United States made at Landsat scale (i.e., 30 m) using the Random Forest algorithm, covering years 1986 - present. While the IrrMapper paper describes classification of four classes (i.e., irrigated, dryland, uncultivated, wetland), ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) | - |---| | [### JRC Global River Flood Hazard Maps Version 2.1 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_CEMS_GLOFAS_FloodHazard_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_CEMS_GLOFAS_FloodHazard_v2_1.md.txt) | | The global river flood hazard maps are a gridded data set representing inundation along the river network, for seven different flood return periods (from 1-in-10-years to 1-in-500-years). The input river flow data for the new maps are produced by means of the open-source hydrological model ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [monitoring](https://developers.google.com/earth-engine/datasets/tags/monitoring.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### JRC Global Surface Water Mapping Layers, v1.2 \[deprecated\] ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_2_GlobalSurfaceWater_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_2_GlobalSurfaceWater.md.txt) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### JRC Global Surface Water Mapping Layers, v1.4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_4_GlobalSurfaceWater_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_4_GlobalSurfaceWater.md.txt) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### JRC Global Surface Water Metadata, v1.4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_4_Metadata_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_4_Metadata.md.txt) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### JRC Monthly Water History, v1.4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_4_MonthlyHistory_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyHistory.md.txt) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [history](https://developers.google.com/earth-engine/datasets/tags/history.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### JRC Monthly Water Recurrence, v1.4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_4_MonthlyRecurrence_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyRecurrence.md.txt) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [history](https://developers.google.com/earth-engine/datasets/tags/history.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### JRC Yearly Water Classification History, v1.4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_4_YearlyHistory_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_4_YearlyHistory.md.txt) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [history](https://developers.google.com/earth-engine/datasets/tags/history.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) | - |---| | [### KBDI: Keetch-Byram Drought Index ![](https://developers.google.com/earth-engine/datasets/images/UTOKYO/UTOKYO_WTLAB_KBDI_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UTOKYO_WTLAB_KBDI_v1.md.txt) | | Keetch-Byram Drought Index (KBDI) is a continuous reference scale for estimating the dryness of the soil and duff layers. The index increases for each day without rain (the amount of increase depends on the daily high temperature) and decreases when it rains. This system is ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [rainfall](https://developers.google.com/earth-engine/datasets/tags/rainfall.md.txt) | - |---| | [### LANDFIRE BPS (Biophysical Settings) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_BPS_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_BPS_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE ESP AK (Environmental Site Potential) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_ESP_v1_2_0_AK_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_ESP_v1_2_0_AK.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE ESP CONUS (Environmental Site Potential) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_ESP_v1_2_0_CONUS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_ESP_v1_2_0_CONUS.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE ESP HI (Environmental Site Potential) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_ESP_v1_2_0_HI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_ESP_v1_2_0_HI.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE EVC (Existing Vegetation Cover) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_EVC_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_EVC_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE EVH (Existing Vegetation Height) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_EVH_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_EVH_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE EVT (Existing Vegetation Type) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_EVT_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_EVT_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE FRG (Fire Regime Groups) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_FRG_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_FRG_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE MFRI (Mean Fire Return Interval) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_MFRI_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_MFRI_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE PLS (Percent Low-severity Fire) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_PLS_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_PLS_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE PMS (Percent of Mixed-severity Fire) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_PMS_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_PMS_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE PRS (Percent of Replacement-severity Fire) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_PRS_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_PRS_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE SClass (Succession Classes) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_SClass_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_SClass_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE VCC (Vegetation Condition Class) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_VCC_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_VCC_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE VDep (Vegetation Departure) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_VDep_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_VDep_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LSIB 2017: Large Scale International Boundary Polygons, Detailed ![](https://developers.google.com/earth-engine/datasets/images/USDOS/USDOS_LSIB_2017_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USDOS_LSIB_2017.md.txt) | | The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. It is derived from two other datasets: a LSIB line vector file and the World Vector Shorelines (WVS) from the National Geospatial-Intelligence Agency (NGA). The interior boundaries reflect U.S. government ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [dos](https://developers.google.com/earth-engine/datasets/tags/dos.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [political](https://developers.google.com/earth-engine/datasets/tags/political.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### LSIB 2017: Large Scale International Boundary Polygons, Simplified ![](https://developers.google.com/earth-engine/datasets/images/USDOS/USDOS_LSIB_SIMPLE_2017_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USDOS_LSIB_SIMPLE_2017.md.txt) | | The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. The detailed version (2013) is derived from two other datasets: a LSIB line vector file and the World Vector Shorelines (WVS) from the National Geospatial-Intelligence Agency (NGA). The interior boundaries ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [dos](https://developers.google.com/earth-engine/datasets/tags/dos.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [political](https://developers.google.com/earth-engine/datasets/tags/political.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_LST_Day_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Day_v061_1km_8-Daily.md.txt) | | Daytime Land Surface Temperature (LST) are derived from the \~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. ... | | [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_LST_Day_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Day_v061_1km_Annual.md.txt) | | Daytime Land Surface Temperature (LST) are derived from the \~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. ... | | [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_LST_Day_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Day_v061_1km_Monthly.md.txt) | | Daytime Land Surface Temperature (LST) are derived from the \~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. ... | | [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_LST_Night_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Night_v061_1km_8-Daily.md.txt) | | Nighttime Land Surface Temperature (LST) are derived from the \~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. ... | | [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_LST_Night_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Night_v061_1km_Annual.md.txt) | | Nighttime Land Surface Temperature (LST) are derived from the \~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. ... | | [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_LST_Night_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Night_v061_1km_Monthly.md.txt) | | Nighttime Land Surface Temperature (LST) are derived from the \~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. ... | | [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### LUCAS Copernicus (Polygons with attributes, 2018) V1 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_LUCAS_HARMO_COPERNICUS_POLYGONS_V1_2018_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_LUCAS_HARMO_COPERNICUS_POLYGONS_V1_2018.md.txt) | | The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### LUCAS Harmonized (Theoretical Location, 2006-2018) V1 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_LUCAS_HARMO_THLOC_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_LUCAS_HARMO_THLOC_V1.md.txt) | | The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and ... | | [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [lucas](https://developers.google.com/earth-engine/datasets/tags/lucas.md.txt) | - |---| | [### LUCAS THLOC (Points with attributes, 2022) V1 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_LUCAS_THLOC_V1_2022_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_LUCAS_THLOC_V1_2022.md.txt) | | The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and ... | | [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [lucas](https://developers.google.com/earth-engine/datasets/tags/lucas.md.txt) | - |---| | [### Land Cover of North America at 30 meters, 2020 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_NLCD_RELEASES_2020_REL_NALCMS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2020_REL_NALCMS.md.txt) | | The 2020 North American Land Cover 30-meter dataset was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between Natural Resources Canada, the United States Geological Survey, and three Mexican organizations including the National Institute of Statistics and Geography ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [nlcd](https://developers.google.com/earth-engine/datasets/tags/nlcd.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### LandScan High Definition Data for Ukraine, January 2022 ![](https://developers.google.com/earth-engine/datasets/images/DOE/DOE_ORNL_LandScan_HD_Ukraine_202201_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/DOE_ORNL_LandScan_HD_Ukraine_202201.md.txt) | | LandScan High Definition (HD) provides gridded population estimates at 3 arc-second (\~100m) resolution. Values for each LandScan HD cell represent an ambient (i.e. 24 hour average) population count estimate. In this way, the data capture the full potential activity space of people throughout the course ... | | [landscan](https://developers.google.com/earth-engine/datasets/tags/landscan.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### LandScan Population Data Global 1km ![](https://developers.google.com/earth-engine/datasets/images/sat-io/projects_sat-io_open-datasets_ORNL_LANDSCAN_GLOBAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_sat-io_open-datasets_ORNL_LANDSCAN_GLOBAL.md.txt) | | The LandScan dataset, provided by the Oak Ridge National Laboratory (ORNL), offers a comprehensive and high-resolution global population distribution dataset that serves as a valuable resource for a wide range of applications. Leveraging state-of-the-art spatial modeling techniques and advanced geospatial data sources, LandScan provides detailed ... | | [community-dataset](https://developers.google.com/earth-engine/datasets/tags/community-dataset.md.txt) [demography](https://developers.google.com/earth-engine/datasets/tags/demography.md.txt) [landscan](https://developers.google.com/earth-engine/datasets/tags/landscan.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [sat-io](https://developers.google.com/earth-engine/datasets/tags/sat-io.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 32-Day BAI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_BAI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_BAI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Burn Area Index (BAI) is generated from the Red and Near-IR bands, and measures the spectral distance of each pixel from a reference spectral point (the ... | | [bai](https://developers.google.com/earth-engine/datasets/tags/bai.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 32-Day Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes, and include the SR bands: blue, green, red, nir, swir1, swir2, and thermal. These composites are created from all the scenes in each 32-day period beginning from ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 32-Day NBR Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NBR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NBR.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Burn Ratio Thermal (NBRT) index is generated from the Near-IR, Mid-IR (2215 nm), and Thermal bands, and has a range from -1.0 to 1.0. See ... | | [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [nbrt](https://developers.google.com/earth-engine/datasets/tags/nbrt.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 32-Day NDVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NDVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NDVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Vegetation Index is generated from the Near-IR and Red bands of each scene as (NIR - Red) / (NIR + Red), and ranges in ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 32-Day NDWI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NDWI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NDWI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Water Index (NDWI) is designed to delineate open water features and enhance their presence in imagery while eliminating soil and terrestrial vegetation features. It ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndwi](https://developers.google.com/earth-engine/datasets/tags/ndwi.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day BAI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_BAI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_BAI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Burn Area Index (BAI) is generated from the Red and Near-IR bands, and measures the spectral distance of each pixel from a reference spectral point (the ... | | [bai](https://developers.google.com/earth-engine/datasets/tags/bai.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes, and include the SR bands: blue, green, red, nir, swir1, swir2, and thermal. These composites are created from all the scenes in each 8-day period beginning from ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day EVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_EVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_EVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Enhanced Vegetation Index (EVI) is generated from the Near-IR, Red and Blue bands of each scene, and ranges in value from -1.0 to 1.0. See Huete ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day NBR Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NBR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NBR.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Burn Ratio Thermal (NBRT) index is generated from the Near-IR, Mid-IR (2215 nm), and Thermal bands, and has a range from -1.0 to 1.0. See ... | | [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [nbrt](https://developers.google.com/earth-engine/datasets/tags/nbrt.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day NDVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NDVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NDVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Vegetation Index is generated from the Near-IR and Red bands of each scene as (NIR - Red) / (NIR + Red), and ranges in ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day NDWI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NDWI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NDWI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Water Index (NDWI) is designed to delineate open water features and enhance their presence in imagery while eliminating soil and terrestrial vegetation features. It ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndwi](https://developers.google.com/earth-engine/datasets/tags/ndwi.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual BAI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_BAI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_BAI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Burn Area Index (BAI) is generated from the Red and Near-IR bands, and measures the spectral distance of each pixel from a reference spectral point (the ... | | [bai](https://developers.google.com/earth-engine/datasets/tags/bai.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes, and include the SR bands: blue, green, red, nir, swir1, swir2, and thermal. These composites are created from all the scenes in each annual period beginning from ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual EVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_EVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_EVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Enhanced Vegetation Index (EVI) is generated from the Near-IR, Red and Blue bands of each scene, and ranges in value from -1.0 to 1.0. See Huete ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual NBR Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NBR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NBR.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Burn Ratio Thermal (NBRT) index is generated from the Near-IR, Mid-IR (2215 nm), and Thermal bands, and has a range from -1.0 to 1.0. See ... | | [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [nbrt](https://developers.google.com/earth-engine/datasets/tags/nbrt.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual NDVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NDVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NDVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Vegetation Index is generated from the Near-IR and Red bands of each scene as (NIR - Red) / (NIR + Red), and ranges in ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual NDWI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NDWI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NDWI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Water Index (NDWI) is designed to delineate open water features and enhance their presence in imagery while eliminating soil and terrestrial vegetation features. It ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndwi](https://developers.google.com/earth-engine/datasets/tags/ndwi.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Global Land Survey 1975 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_GLS1975_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_GLS1975.md.txt) | | The Global Land Survey (GLS) 1975 is a global collection of imagery from the Landsat Multispectral Scanner (MSS). Most scenes were acquired by Landsat 1-3 in 1972-1983. A few gaps in the Landsat 1-3 data have been filled with scenes acquired by Landsat 4-5 during ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gls](https://developers.google.com/earth-engine/datasets/tags/gls.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Global Land Survey 2005, Landsat 5 scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_GLS2005_L5_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_GLS2005_L5.md.txt) | | The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any ... | | [etm](https://developers.google.com/earth-engine/datasets/tags/etm.md.txt) [gls](https://developers.google.com/earth-engine/datasets/tags/gls.md.txt) [l5](https://developers.google.com/earth-engine/datasets/tags/l5.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Landsat Global Land Survey 2005, Landsat 5+7 scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_GLS2005_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_GLS2005.md.txt) | | The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any ... | | [gls](https://developers.google.com/earth-engine/datasets/tags/gls.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Global Land Survey 2005, Landsat 7 scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_GLS2005_L7_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_GLS2005_L7.md.txt) | | The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any ... | | [etm](https://developers.google.com/earth-engine/datasets/tags/etm.md.txt) [gls](https://developers.google.com/earth-engine/datasets/tags/gls.md.txt) [l7](https://developers.google.com/earth-engine/datasets/tags/l7.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Landsat Gross Primary Production CONUS ![](https://developers.google.com/earth-engine/datasets/images/UMT/UMT_NTSG_v2_LANDSAT_GPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMT_NTSG_v2_LANDSAT_GPP.md.txt) | | The Landsat Gross Primary Production (GPP) CONUS dataset estimates GPP using Landsat Surface Reflectance for CONUS. GPP is the amount of carbon captured by plants in an ecosystem and is an essential component in the calculations of Net Primary Production (NPP). GPP is calculated using ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [mod17](https://developers.google.com/earth-engine/datasets/tags/mod17.md.txt) | - |---| | [### Landsat Image Mosaic of Antarctica (LIMA) - Processed Landsat Scenes (16 bit) ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_LIMA_SR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_LIMA_SR.md.txt) | | The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. Processed Landsat Scenes (16 bit) are Level 1Gt NLAPS scenes converted to 16 bit, processed with sun-angle correction, and converted to reflectance values (Bindschadler ... | | [antarctica](https://developers.google.com/earth-engine/datasets/tags/antarctica.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [lima](https://developers.google.com/earth-engine/datasets/tags/lima.md.txt) [mosaic](https://developers.google.com/earth-engine/datasets/tags/mosaic.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Landsat Image Mosaic of Antarctica (LIMA) - Processed Landsat Scenes (16 bit) Metadata ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_LIMA_SR_METADATA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_LIMA_SR_METADATA.md.txt) | | The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. Processed Landsat Scenes (16 bit) are Level 1Gt NLAPS scenes converted to 16 bit, processed with sun-angle correction, and converted to reflectance values (Bindschadler ... | | [antarctica](https://developers.google.com/earth-engine/datasets/tags/antarctica.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [lima](https://developers.google.com/earth-engine/datasets/tags/lima.md.txt) [mosaic](https://developers.google.com/earth-engine/datasets/tags/mosaic.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Landsat Image Mosaic of Antarctica (LIMA) 16-Bit Pan-Sharpened Mosaic ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_LIMA_MOSAIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_LIMA_MOSAIC.md.txt) | | The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. This LIMA dataset is the 16-bit Intermediate LIMA. The mosaic consists of pan-sharpened normalized surface reflectance scenes (Landsat ETM+ bands 1, 2, 3, and ... | | [antarctica](https://developers.google.com/earth-engine/datasets/tags/antarctica.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [lima](https://developers.google.com/earth-engine/datasets/tags/lima.md.txt) [mosaic](https://developers.google.com/earth-engine/datasets/tags/mosaic.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Landsat Net Primary Production CONUS ![](https://developers.google.com/earth-engine/datasets/images/UMT/UMT_NTSG_v2_LANDSAT_NPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMT_NTSG_v2_LANDSAT_NPP.md.txt) | | The Landsat Net Primary Production (NPP) CONUS dataset estimates NPP using Landsat Surface Reflectance for CONUS. NPP is the amount of carbon captured by plants in an ecosystem, after accounting for losses due to respiration. NPP is calculated using the MOD17 algorithm (see MOD17 User ... | | [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [mod17](https://developers.google.com/earth-engine/datasets/tags/mod17.md.txt) [nlcd-derived](https://developers.google.com/earth-engine/datasets/tags/nlcd-derived.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) | - |---| | [### Landsat-derived forest age for Canada 2019 ![](https://developers.google.com/earth-engine/datasets/images/CANADA/CANADA_NFIS_NTEMS_CA_FOREST_AGE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CANADA_NFIS_NTEMS_CA_FOREST_AGE.md.txt) | | Canadian primary forest dataset is a satellite-based forest age map for 2019 across Canada's forested ecozones at a 30-m spatial resolution. Remotely-sensed data from Landsat (disturbances, surface reflectance composites, forest structure) and MODIS (Gross Primary Production) are utilized to determine age. Forest age can be ... | | [canada](https://developers.google.com/earth-engine/datasets/tags/canada.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) | - |---| | [### Latvia Color InfraRed (CIR) orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Latvia/Latvia_Maamet_orthos_cir_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Latvia_Maamet_orthos_cir.md.txt) | | In Latvia, orthophoto maps are prepared in the Latvian coordinate system LKS-92 TM according to the TKS-93 map sheet division (scale 1:10000 map sheet corresponds to 5 x 5 kilometers in nature). Orthophoto maps are prepared for the whole territory of Latvia at the scale ... | | [latvia](https://developers.google.com/earth-engine/datasets/tags/latvia.md.txt) [nrg](https://developers.google.com/earth-engine/datasets/tags/nrg.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) | - |---| | [### Latvia RGB orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Latvia/Latvia_Maamet_orthos_rgb_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Latvia_Maamet_orthos_rgb.md.txt) | | In Latvia, orthophoto maps are prepared in the Latvian coordinate system LKS-92 TM according to the TKS-93 map sheet division (scale 1:10000 map sheet corresponds to 5 x 5 kilometers in nature). Orthophoto maps are prepared for the whole territory of Latvia at the scale ... | | [latvia](https://developers.google.com/earth-engine/datasets/tags/latvia.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) | - |---| | [### MACAv2-METDATA Monthly Summaries: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY.md.txt) | | The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [idaho](https://developers.google.com/earth-engine/datasets/tags/idaho.md.txt) [maca](https://developers.google.com/earth-engine/datasets/tags/maca.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA.md.txt) | | The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [idaho](https://developers.google.com/earth-engine/datasets/tags/idaho.md.txt) [maca](https://developers.google.com/earth-engine/datasets/tags/maca.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### MAPL-EMIT: Modeled Methane Enhancement and Plume Probability ![](https://developers.google.com/earth-engine/datasets/images/climate-and-sustainability/projects_climate-and-sustainability_assets_ghg_emit_mapl_emit_enhancements_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_climate-and-sustainability_assets_ghg_emit_mapl_emit_enhancements_v1_0.md.txt) | | The Methane Analysis and Plume Localization with EMIT (MAPL-EMIT) enhancements dataset provides high-resolution (60m) methane (CH₄) enhancement maps and plume probabilities derived from radiance data captured by the Earth Surface Mineral Dust Source Investigation (EMIT) instrument which were generated and released as part of the ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate-and-sustainability](https://developers.google.com/earth-engine/datasets/tags/climate-and-sustainability.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### MAPL-EMIT: Modeled Methane Plumes ![](https://developers.google.com/earth-engine/datasets/images/climate-and-sustainability/projects_climate-and-sustainability_assets_ghg_emit_mapl_emit_plumes_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_climate-and-sustainability_assets_ghg_emit_mapl_emit_plumes_v1_0.md.txt) | | The Methane Analysis and Plume Localization with EMIT (MAPL-EMIT) dataset provides high-resolution (60m) methane (CH₄) plume complex maps and plume source locations derived from radiance data captured by the Earth Surface Mineral Dust Source Investigation (EMIT) instrument. Methane point-source emissions are a major driver of ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate-and-sustainability](https://developers.google.com/earth-engine/datasets/tags/climate-and-sustainability.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### MCD12C1.061 MODIS Land Cover Type Yearly Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD12C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12C1.md.txt) | | The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Climate Modeling Grid (CMG) (MCD12C1) Version 6.1 data product provides a spatially aggregated and reprojected version of the tiled MCD12Q1 Version 6.1 data product. Maps of the International Geosphere-Biosphere Programme (IGBP), University of ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [yearly](https://developers.google.com/earth-engine/datasets/tags/yearly.md.txt) | - |---| | [### MCD12Q1.061 MODIS Land Cover Type Yearly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD12Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q1.md.txt) | | The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6.1 data product provides global land cover types at yearly intervals. The MCD12Q1 Version 6.1 data product is derived using supervised classifications of MODIS Terra and Aqua reflectance data. Land ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [yearly](https://developers.google.com/earth-engine/datasets/tags/yearly.md.txt) | - |---| | [### MCD12Q2.006 Land Cover Dynamics Yearly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD12Q2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q2.md.txt) | | The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Dynamics (MCD12Q2) Version 6.1 data product provides global land surface phenology metrics at yearly intervals. The MCD12Q2 Version 6.1 data product is derived from time series of the 2-band Enhanced Vegetation Index (EVI2) ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [onset-greenness](https://developers.google.com/earth-engine/datasets/tags/onset-greenness.md.txt) [phenology](https://developers.google.com/earth-engine/datasets/tags/phenology.md.txt) | - |---| | [### MCD15A3H.061 MODIS Leaf Area Index/FPAR 4-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD15A3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD15A3H.md.txt) | | The MCD15A3H Version 6.1 Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4, Combined Fraction of Photosynthetically Active Radiation (FPAR), and Leaf Area Index (LAI) product is a 4-day composite data set with 500 meter pixel size. The algorithm chooses the best pixel available from all the ... | | [fpar](https://developers.google.com/earth-engine/datasets/tags/fpar.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### MCD18A1.062 Surface Radiation Daily/3-Hour ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_062_MCD18A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_062_MCD18A1.md.txt) | | The MCD18A1 Version 6.2 is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Downward Shortwave Radiation (DSR) gridded Level 3 product produced daily at 1 kilometer pixel resolution with estimates of DSR every 3 hours. DSR is incident solar radiation over land surfaces ... | | [par](https://developers.google.com/earth-engine/datasets/tags/par.md.txt) [radiation](https://developers.google.com/earth-engine/datasets/tags/radiation.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### MCD18C2.062 Photosynthetically Active Radiation Daily 3-Hour ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_062_MCD18C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_062_MCD18C2.md.txt) | | The MCD18C2 Version 6.2 is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Photosynthetically Active Radiation (PAR) gridded Level 3 product produced daily at 0.05 degree (5,600 meters at the equator) resolution with estimates of PAR every 3 hours. PAR is incident solar ... | | [par](https://developers.google.com/earth-engine/datasets/tags/par.md.txt) [radiation](https://developers.google.com/earth-engine/datasets/tags/radiation.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### MCD19A1.061: Land Surface BRF Daily L2G Global 500m and 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD19A1_GRANULES_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A1_GRANULES.md.txt) | | The MCD19A1 Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Land Surface Bidirectional Reflectance Factor (BRF) gridded Level 2 product produced daily at 500 meter and 1 kilometer resolution. For more information see the MAIAC user guide. | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aod](https://developers.google.com/earth-engine/datasets/tags/aod.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [maiac](https://developers.google.com/earth-engine/datasets/tags/maiac.md.txt) | - |---| | [### MCD19A2.061: Terra \& Aqua MAIAC Land Aerosol Optical Depth Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD19A2_GRANULES_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A2_GRANULES.md.txt) | | The MCD19A2 V6.1 data product is a MODIS Terra and Aqua combined Multi-angle Implementation of Atmospheric Correction (MAIAC) Land Aerosol Optical Depth (AOD) gridded Level 2 product produced daily at 1 km resolution. For more information see the MAIAC user guide. NOTE: This product has ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aod](https://developers.google.com/earth-engine/datasets/tags/aod.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) | - |---| | [### MCD43A1.061 MODIS BRDF-Albedo Model Parameters Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A1.md.txt) | | The MCD43A1 V6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters dataset is a 500 meter daily 16-day product. The Julian date represents the 9th day of the 16-day retrieval period, and consequently the observations are weighted to estimate the BRDF/Albedo for that day. ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MCD43A2.061 MODIS BRDF-Albedo Quality Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A2.md.txt) | | The MCD43A2 V6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Quality dataset is a 500 meter daily 16-day product. It contains all the quality information for the corresponding 16-day MCD43A3 Albedo and the MCD43A4 Nadir-BRDF (NBAR) products. The MCD43A2 contains individual band quality and observation ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MCD43A3.061 MODIS Albedo Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A3.md.txt) | | The MCD43A3 V6.1 Albedo Model dataset is a daily 16-day product. It provides both directional hemispherical reflectance (black sky albedo) and bihemispherical reflectance (white sky albedo) for each of the MODIS surface reflectance bands (band 1 through band 7) as well as 3 broad spectrum ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [black-sky](https://developers.google.com/earth-engine/datasets/tags/black-sky.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MCD43A4.061 MODIS Nadir BRDF-Adjusted Reflectance Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A4.md.txt) | | The MCD43A4 V6.1 Nadir Bidirectional Reflectance Distribution Function Adjusted Reflectance (NBAR) product provides 500 meter reflectance data of the MODIS "land" bands 1-7. These are adjusted using a bidirectional reflectance distribution function to model the values as if they were collected from a nadir view. ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MCD43C3.061 BRDF/Albedo Daily L3 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43C3.md.txt) | | The MCD43C3 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Albedo dataset is produced daily using 16 days of Terra and Aqua MODIS data in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). Data are temporally weighted to the ninth ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [black-sky](https://developers.google.com/earth-engine/datasets/tags/black-sky.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MCD64A1.061 MODIS Burned Area Monthly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD64A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1.md.txt) | | The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn.md.txt) [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [mcd64a1](https://developers.google.com/earth-engine/datasets/tags/mcd64a1.md.txt) | - |---| | [### MERIT DEM: Multi-Error-Removed Improved-Terrain DEM ![](https://developers.google.com/earth-engine/datasets/images/MERIT/MERIT_DEM_v1_0_3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MERIT_DEM_v1_0_3.md.txt) | | MERIT DEM a high accuracy global DEM at 3 arc second resolution (\~90 m at the equator) produced by eliminating major error components from existing DEMs (NASA SRTM3 DEM, JAXA AW3D DEM, Viewfinder Panoramas DEM). MERIT DEM separates absolute bias, stripe noise, speckle noise and ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [merit](https://developers.google.com/earth-engine/datasets/tags/merit.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### MERIT Hydro: Global Hydrography Datasets ![](https://developers.google.com/earth-engine/datasets/images/MERIT/MERIT_Hydro_v1_0_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1.md.txt) | | MERIT Hydro is a new global flow direction map at 3 arc-second resolution (\~90 m at the equator) derived from the version 1.0.3 of the MERIT DEM elevation data and water body datasets (G1WBM, GSWO and OpenStreetMap). MERIT Hydro contains the output of a new ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [merit](https://developers.google.com/earth-engine/datasets/tags/merit.md.txt) [river-width](https://developers.google.com/earth-engine/datasets/tags/river-width.md.txt) | - |---| | [### MERIT Hydro: Supplementary Visualization Layers ![](https://developers.google.com/earth-engine/datasets/images/MERIT/MERIT_Hydro_reduced_v1_0_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_reduced_v1_0_1.md.txt) | | Supplementary visualization layers for MERIT Hydro | | [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [merit](https://developers.google.com/earth-engine/datasets/tags/merit.md.txt) [river-width](https://developers.google.com/earth-engine/datasets/tags/river-width.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [upstream-drainage-area](https://developers.google.com/earth-engine/datasets/tags/upstream-drainage-area.md.txt) | - |---| | [### MERRA-2 M2I3NVAER: Aerosol Mixing Ratio V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_aer_nv_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_aer_nv_2.md.txt) | | M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [dust](https://developers.google.com/earth-engine/datasets/tags/dust.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MERRA-2 M2T1NXAER: Aerosol Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_aer_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_aer_2.md.txt) | | M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea-salt, sulfate, and organic carbon), surface ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [dust](https://developers.google.com/earth-engine/datasets/tags/dust.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) | - |---| | [### MERRA-2 M2T1NXFLX: Surface Flux Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_flx_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_flx_2.md.txt) | | M2T1NXFLX (or tavg1_2d_flx_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [sea-salt](https://developers.google.com/earth-engine/datasets/tags/sea-salt.md.txt) [so2](https://developers.google.com/earth-engine/datasets/tags/so2.md.txt) [so4](https://developers.google.com/earth-engine/datasets/tags/so4.md.txt) | - |---| | [### MERRA-2 M2T1NXLND: Land Surface Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_lnd_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_lnd_2.md.txt) | | M2T1NXLND (or tavg1_2d_lnd_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such a baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### MERRA-2 M2T1NXRAD: Radiation Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_rad_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_rad_2.md.txt) | | M2T1NXRAD (or tavg1_2d_rad_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [shortwave](https://developers.google.com/earth-engine/datasets/tags/shortwave.md.txt) | - |---| | [### MERRA-2 M2T1NXSLV: Single-Level Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_slv_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_slv_2.md.txt) | | M2T1NXSLV (or tavg1_2d_slv_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) | - |---| | [### MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images Version 2 ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_ICE_VELOCITY_OPT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_ICE_VELOCITY_OPT.md.txt) | | This dataset, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of mean monthly velocity maps for selected glacier outlet areas. The maps are generated by tracking visible features between optical image pairs acquired by the Landsat ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD08_M3.061 Terra Atmosphere Monthly Global Product ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD08_M3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD08_M3.md.txt) | | MOD08_M3 V6.1 is an atmosphere global product that contains monthly 1 x 1 degree grid average values of atmospheric parameters. These parameters are related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. The ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### MOD09A1.061 Terra Surface Reflectance 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09A1.md.txt) | | The MOD09A1 V6.1 product provides an estimate of the surface spectral reflectance of Terra MODIS bands 1-7 at 500m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven reflectance bands is a quality layer and four observation ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) | - |---| | [### MOD09CMG.061 Terra Surface Reflectance Daily L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09CMG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09CMG.md.txt) | | The MOD09CMG Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, resampled to 5600 meter pixel resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. The MOD09CMG data ... | | [brightness-temperature](https://developers.google.com/earth-engine/datasets/tags/brightness-temperature.md.txt) [ozone](https://developers.google.com/earth-engine/datasets/tags/ozone.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface-reflectance](https://developers.google.com/earth-engine/datasets/tags/surface-reflectance.md.txt) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) | - |---| | [### MOD09GA.061 Terra Surface Reflectance Daily Global 1km and 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GA.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MOD09GA version 6.1 provides bands 1-7 in ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) | - |---| | [### MOD09GQ.061 Terra Surface Reflectance Daily Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09GQ_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GQ.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MOD09GQ version 6.1 provides bands 1 and ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) | - |---| | [### MOD09Q1.061 Terra Surface Reflectance 8-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09Q1.md.txt) | | The MOD09Q1 product provides an estimate of the surface spectral reflectance of bands 1 and 2 at 250m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the two reflectance bands, a quality layer is also included. For each ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [mod09q1](https://developers.google.com/earth-engine/datasets/tags/mod09q1.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MOD10A1.061 Terra Snow Cover Daily Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD10A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD10A1.md.txt) | | The MOD10A1 V6.1 Snow Cover Daily Global 500m product contains snow cover, snow albedo, fractional snow cover, and quality assessment (QA) data. Snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. General ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MOD10A2.061 Terra Snow Cover 8-Day L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD10A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD10A2.md.txt) | | MOD10A2 is a snow cover dataset from the MODIS on the Terra satellite. The dataset reports the maximum snow cover extent during an eight-day period at the resolution of 500 m. An eight-day compositing period was chosen because that is the exact ground track repeat ... | | [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD11A1.061 Terra Land Surface Temperature and Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD11A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1.md.txt) | | The MOD11A1 V6.1 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD11A2.061 Terra Land Surface Temperature and Emissivity 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD11A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A2.md.txt) | | The MOD11A2 V6.1 product provides an average 8-day land surface temperature (LST) in a 1200 x 1200 kilometer grid. Each pixel value in MOD11A2 is a simple average of all the corresponding MOD11A1 LST pixels collected within that 8 day period. The MOD11A2 does a ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MOD13A1.061 Terra Vegetation Indices 16-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A1.md.txt) | | The MOD13A1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD13A2.061 Terra Vegetation Indices 16-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A2.md.txt) | | The MOD13A2 V6.1 product provides two Vegetation Indices (VI): the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). The NDVI is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD13A3.061 Vegetation Indices Monthly L3 Global 1 km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A3.md.txt) | | The MOD13A3 V6.1 product data is provided monthly at 1 kilometer (km) spatial resolution. In generating this monthly product, the algorithm ingests all the MOD13A2 products that overlap the month and employs a weighted temporal average. Vegetation indices are used for global monitoring of vegetation ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD13C1.061: Terra Vegetation Indices 16-Day L3 Global 0.05 Deg Climate Modeling Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13C1.md.txt) | | The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MOD13C1) Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which maintains continuity with the ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### MOD13Q1.061 Terra Vegetation Indices 16-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13Q1.md.txt) | | The MOD13Q1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD14A1.061: Terra Thermal Anomalies \& Fire Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD14A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD14A1.md.txt) | | The MOD14A1 V6.1 dataset provides daily fire mask composites at 1km resolution derived from the MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) | - |---| | [### MOD14A2.061: Terra Thermal Anomalies \& Fire 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD14A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD14A2.md.txt) | | The MOD14A2 V6.1 dataset provides 8-day fire mask composites at 1km resolution. It contains the maximum value of the individual pixel classes over the compositing period. Along with the fire mask, an associated quality information layer is also provided. Documentation: User's Guide Algorithm Theoretical Basis ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) | - |---| | [### MOD15A2H.061: Terra Leaf Area Index/FPAR 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD15A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD15A2H.md.txt) | | The MOD15A2H V6.1 MODIS combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is an 8-day composite dataset at 500m resolution. The algorithm chooses the "best" pixel available from all the acquisitions of the Terra sensor from within the 8-day period. ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [fpar](https://developers.google.com/earth-engine/datasets/tags/fpar.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD16A2.061: Terra Net Evapotranspiration 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD16A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD16A2.md.txt) | | The MOD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 8-day composite product produced at 500 meter pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [mod16a2](https://developers.google.com/earth-engine/datasets/tags/mod16a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD16A2: MODIS Global Terrestrial Evapotranspiration 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_NTSG_MOD16A2_105_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_NTSG_MOD16A2_105.md.txt) | | The MOD16A2 V105 product provides information about 8-day global terrestrial evapotranspiration at 1km pixel resolution. Evapotranspiration (ET) is the sum of evaporation and plant transpiration from the Earth's surface to the atmosphere. With long-term ET data, the effects of changes in climate, land use, and ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [mod16a2](https://developers.google.com/earth-engine/datasets/tags/mod16a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### MOD16A2GF.061: Terra Net Evapotranspiration Gap-Filled 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD16A2GF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD16A2GF.md.txt) | | The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16A2GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### MOD17A2H.061: Terra Gross Primary Productivity 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD17A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A2H.md.txt) | | The MOD17A2H V6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite with a 500m pixel size. The product is based on the radiation-use efficiency concept and can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) | - |---| | [### MOD17A2HGF.061: Terra Gross Primary Productivity 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD17A2HGF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A2HGF.md.txt) | | The MOD17A2HGF Version 6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) | - |---| | [### MOD17A3HGF.061: Terra Net Primary Production Gap-Filled Yearly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD17A3HGF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A3HGF.md.txt) | | The MOD17A3HGF V6.1 product provides information about annual Gross and Net Primary Productivity (GPP and NPP) at 500m pixel resolution. Annual NPP is derived from the sum of all 8-day Net Photosynthesis(PSN) products (MOD17A2H) from the given year. The PSN value is the difference of ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### MOD21A1D.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1D.md.txt) | | The MOD21A1D dataset is produced daily from daytime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MOD21A1N.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1N.md.txt) | | The MOD21A1N dataset is produced daily from nighttime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MOD21C1.061 Terra Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C1.md.txt) | | The MOD21C1 dataset is produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG) from daytime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MOD21C2.061 Terra Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C2.md.txt) | | The MOD21C2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MOD21A1D and MOD21A1N daily acquisitions from the 8-day period. Unlike the MOD21A1 data sets where the ... | | [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) | - |---| | [### MOD21C3.061 Terra Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C3.md.txt) | | The MOD21C3 dataset is a monthly composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MOD21A1D and MOD21A1N daily acquisitions from the 8-day period. Unlike the MOD21A1 data sets where the ... | | [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MOD44B.061 Terra Vegetation Continuous Fields Yearly Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD44B_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD44B.md.txt) | | The Terra MODIS Vegetation Continuous Fields (VCF) product is a sub-pixel-level representation of surface vegetation cover estimates globally. Designed to continuously represent Earth's terrestrial surface as a proportion of basic vegetation traits, it provides a gradation of three surface cover components: percent tree cover, percent ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD44W.005 Land Water Mask Derived From MODIS and SRTM ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_MOD44W_MOD44W_005_2000_02_24_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_MOD44W_MOD44W_005_2000_02_24.md.txt) | | The Global Water Mask uses the SWBD (SRTM Water Body Data) in combination with MODIS 250m data to create a complete global map of surface water at 250m spatial resolution, circa 2000-2002. This dataset is intended for use in processing of raster data and for ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [mod44w](https://developers.google.com/earth-engine/datasets/tags/mod44w.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [water-mask](https://developers.google.com/earth-engine/datasets/tags/water-mask.md.txt) | - |---| | [### MOD44W.006 Terra Land Water Mask Derived From MODIS and SRTM Yearly Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_006_MOD44W_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD44W.md.txt) | | The MOD44W V6 land/water mask 250m product is derived using a decision tree classifier trained with MODIS data and validated with the MOD44W V5 product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [mod44w](https://developers.google.com/earth-engine/datasets/tags/mod44w.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### MODIS Gross Primary Production CONUS ![](https://developers.google.com/earth-engine/datasets/images/UMT/UMT_NTSG_v2_MODIS_GPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMT_NTSG_v2_MODIS_GPP.md.txt) | | The MODIS Gross Primary Production (GPP) CONUS dataset estimates GPP using MODIS Surface Reflectance for CONUS. GPP is the amount of carbon captured by plants in an ecosystem and is an essential component in the calculations of Net Primary Production (NPP). GPP is calculated using ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [mod09q1](https://developers.google.com/earth-engine/datasets/tags/mod09q1.md.txt) [mod17](https://developers.google.com/earth-engine/datasets/tags/mod17.md.txt) | - |---| | [### MODIS Net Primary Production CONUS ![](https://developers.google.com/earth-engine/datasets/images/UMT/UMT_NTSG_v2_MODIS_NPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMT_NTSG_v2_MODIS_NPP.md.txt) | | The MODIS Net Primary Production (NPP) CONUS dataset estimates NPP using MODIS Surface Reflectance for CONUS. NPP is the amount of carbon captured by plants in an ecosystem, after accounting for losses due to respiration. NPP is calculated using the MOD17 algorithm (see MOD17 User ... | | [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [mod09q1](https://developers.google.com/earth-engine/datasets/tags/mod09q1.md.txt) [mod17](https://developers.google.com/earth-engine/datasets/tags/mod17.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nlcd-derived](https://developers.google.com/earth-engine/datasets/tags/nlcd-derived.md.txt) | - |---| | [### MODOCGA.006 Terra Ocean Reflectance Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_006_MODOCGA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MODOCGA.md.txt) | | The MODOCGA V6 ocean reflectance product consists of 1 kilometer reflectance data from Terra MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this is not an ocean product as the tiles ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### MTBS Burned Area Boundaries ![](https://developers.google.com/earth-engine/datasets/images/USFS/USFS_GTAC_MTBS_burned_area_boundaries_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USFS_GTAC_MTBS_burned_area_boundaries_v1.md.txt) | | The Monitoring Trends in Burn Severity (MTBS) burned area boundaries dataset contains the extent polygons of the burned areas of all currently completed MTBS fires for the continental United States, Alaska, Hawaii, and Puerto Rico. Below NBR stands for "Normalized Burn Ratio", while dNBR stands ... | | [eros](https://developers.google.com/earth-engine/datasets/tags/eros.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac.md.txt) [mtbs](https://developers.google.com/earth-engine/datasets/tags/mtbs.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### MYD08_M3.061 Aqua Atmosphere Monthly Global Product ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD08_M3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD08_M3.md.txt) | | MYD08_M3 V6.1 is an atmosphere global product that contains monthly 1 x 1 degree grid average values of atmospheric parameters. These parameters are related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. The ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MYD09A1.061 Aqua Surface Reflectance 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09A1.md.txt) | | The MYD09A1 V6.1 product provides an estimate of the surface spectral reflectance of Aqua MODIS bands 1-7 at 500m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven reflectance bands is a quality layer and four observation ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD09CMG.061 Aqua Surface Reflectance Daily L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09CMG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09CMG.md.txt) | | The MYD09CMG Version 6.1 product provides an estimate of the surface spectral reflectance of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, resampled to 5600 meter pixel resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. The MYD09CMG data ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [brightness-temperature](https://developers.google.com/earth-engine/datasets/tags/brightness-temperature.md.txt) [ozone](https://developers.google.com/earth-engine/datasets/tags/ozone.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface-reflectance](https://developers.google.com/earth-engine/datasets/tags/surface-reflectance.md.txt) | - |---| | [### MYD09GA.061 Aqua Surface Reflectance Daily Global 1km and 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GA.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MYD09GA version 6.1 provides bands 1-7 in ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD09GQ.061 Aqua Surface Reflectance Daily Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09GQ_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GQ.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MYD09GQ version 6.1 provides bands 1 and ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD09Q1.061 Aqua Surface Reflectance 8-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09Q1.md.txt) | | The MYD09Q1 product provides an estimate of the surface spectral reflectance of bands 1 and 2 at 250m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the two reflectance bands, a quality layer is also included. For each ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD10A1.061 Aqua Snow Cover Daily Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD10A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD10A1.md.txt) | | The MYD10A1 V6 Snow Cover Daily Global 500m product contains snow cover, snow albedo, fractional snow cover, and quality assessment (QA) data. Snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. General ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) | - |---| | [### MYD11A1.061 Aqua Land Surface Temperature and Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD11A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1.md.txt) | | The MYD11A1 V6.1 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is derived from the MYD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MYD11A2.061 Aqua Land Surface Temperature and Emissivity 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD11A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A2.md.txt) | | The MYD11A2 V6.1 product provides an average 8-day land surface temperature (LST) in a 1200 x 1200 kilometer grid. Each pixel value in MYD11A2 is a simple average of all the corresponding MYD11A1 LST pixels collected within that 8 day period. The MYD11A2 does a ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MYD13A1.061 Aqua Vegetation Indices 16-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A1.md.txt) | | The MYD13A1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD13A2.061 Aqua Vegetation Indices 16-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A2.md.txt) | | The MYD13A2 V6.1 product provides two Vegetation Indices (VI): the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). The NDVI is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD13A3.061 Aqua Vegetation Indices Monthly L3 Global 1 km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A3.md.txt) | | The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MYD13A3) Version 6.1 data are provided monthly at 1 kilometer (km) spatial resolution as a gridded Level 3 product in the sinusoidal projection. In generating this monthly product, the algorithm ingests all the MYD13A2 products that ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD13C1.061: Aqua Vegetation Indices 16-Day L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13C1.md.txt) | | The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13C1) Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which maintains continuity with the ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### MYD13Q1.061 Aqua Vegetation Indices 16-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13Q1.md.txt) | | The MYD13Q1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD14A1.061: Aqua Thermal Anomalies \& Fire Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD14A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD14A1.md.txt) | | The MYD14A1 V6.1 dataset provides daily fire mask composites at 1km resolution derived from the MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD14A2.061: Aqua Thermal Anomalies \& Fire 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD14A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD14A2.md.txt) | | The MYD14A2 V6.1 dataset provides 8-day fire mask composites at 1km resolution. It contains the maximum value of the individual pixel classes over the compositing period. Along with the fire mask, an associated quality information layer is also provided. Documentation: User's Guide Algorithm Theoretical Basis ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD15A2H.061: Aqua Leaf Area Index/FPAR 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD15A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD15A2H.md.txt) | | The MYD15A2H V6.1 MODIS combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is an 8-day composite dataset at 500m resolution. The algorithm chooses the "best" pixel available from all the acquisitions of the Aqua sensor from within the 8-day period. ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [fpar](https://developers.google.com/earth-engine/datasets/tags/fpar.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MYD16A2.061: Aqua Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061 ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD16A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD16A2.md.txt) | | The MYD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 8-day composite product at 500 meter pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### MYD17A2H.061: Aqua Gross Primary Productivity 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD17A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD17A2H.md.txt) | | The MYD17A2H V6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite with a 500m resolution. The product is based on the radiation-use efficiency concept and can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD17A3HGF.061: Aqua Net Primary Production Gap-Filled Yearly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD17A3HGF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD17A3HGF.md.txt) | | The MYD17A3HGF V6.1 product provides information about annual Gross and Net Primary Productivity (GPP and NPP) at 500m pixel resolution. Annual NPP is derived from the sum of all 8-day Net Photosynthesis(PSN) products (MYD17A2H) from the given year. The PSN value is the difference of ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) | - |---| | [### MYD21A1D.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1D.md.txt) | | The MYD21A1D dataset is produced daily from daytime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD21A1N.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1N.md.txt) | | The MYD21A1N dataset is produced daily from nighttime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD21C1.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C1.md.txt) | | The MYD21C1 dataset is produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG) from daytime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily MYD21 swath granules onto a sinusoidal MODIS grid and stores all ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD21C2.061 Aqua Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C2.md.txt) | | The MYD21C2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MYD21A1D and MYD21A1N daily acquisitions from the 8-day period. Unlike the MYD21A1 data sets where the ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MYD21C3.061 Aqua Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C3.md.txt) | | The MYD21C3 dataset is a monthly composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MYD21A1D and MYD21A1N daily acquisitions from the 8-day period. Unlike the MYD21A1 data sets where the ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYDOCGA.006 Aqua Ocean Reflectance Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_006_MYDOCGA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MYDOCGA.md.txt) | | The MYDOCGA V6 ocean reflectance product consists of 1 kilometer reflectance data from Aqua MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this is not an ocean product as the tiles ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Malaria Atlas Project Accessibility to Cities 2015 ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_accessibility_accessibility_to_cities_2015_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_accessibility_accessibility_to_cities_2015_v1_0.md.txt) | | This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-populated areas are defined as contiguous areas with 1,500 or more inhabitants per square kilometer or ... | | [accessibility](https://developers.google.com/earth-engine/datasets/tags/accessibility.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### Malaria Atlas Project Accessibility to Healthcare 2019 ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_accessibility_accessibility_to_healthcare_2019_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_accessibility_accessibility_to_healthcare_2019.md.txt) | | This global accessibility map enumerates land-based travel time (in minutes) to the nearest hospital or clinic for all areas between 85 degrees north and 60 degrees south for a nominal year 2019. Major data collection efforts underway by OpenStreetMap, Google Maps, and academic researchers have ... | | [accessibility](https://developers.google.com/earth-engine/datasets/tags/accessibility.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### Malaria Atlas Project Accessibility to Healthcare 2019 (Walking Only) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_accessibility_accessibility_to_healthcare_2019_walking_only_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_accessibility_accessibility_to_healthcare_2019_walking_only.md.txt) | | This global accessibility map enumerates land-based travel time (in minutes) to the nearest hospital or clinic for all areas between 85 degrees north and 60 degrees south for a nominal year 2019. This surface is based on "walking-only" travel time, using non-motorized means of transportation ... | | [accessibility](https://developers.google.com/earth-engine/datasets/tags/accessibility.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### Malaria Atlas Project Global Friction Surface 2015 ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_accessibility_friction_surface_2015_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_accessibility_friction_surface_2015_v1_0.md.txt) | | Friction Surface 2019". This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2015. This map was produced through a collaboration between the University of Oxford Malaria Atlas Project (MAP), Google, ... | | [accessibility](https://developers.google.com/earth-engine/datasets/tags/accessibility.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### Malaria Atlas Project Global Friction Surface 2019 ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_accessibility_friction_surface_2019_v5_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_accessibility_friction_surface_2019_v5_1.md.txt) | | This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2019. This map was produced through a collaboration between MAP (University of Oxford), Telethon Kids Institute (Perth, Australia), Google, and the ... | | [accessibility](https://developers.google.com/earth-engine/datasets/tags/accessibility.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### Malaria Atlas Project Global Friction Surface 2019 (Walking Only) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_accessibility_friction_surface_2019_v5_1_walking_only_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_accessibility_friction_surface_2019_v5_1_walking_only.md.txt) | | This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2019. This surface is based on "walking-only" travel speed, using non-motorized means of transportation only. This map was produced through a ... | | [accessibility](https://developers.google.com/earth-engine/datasets/tags/accessibility.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### MapBiomas Land Use and Land Cover - Bolivia V1.0 ![](https://developers.google.com/earth-engine/datasets/images/mapbiomas-public/projects_mapbiomas-public_assets_bolivia_lulc_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_mapbiomas-public_assets_bolivia_lulc_v1.md.txt) | | MapBiomas Land Use and Land Cover (LULC) dataset for Bolivia is produced annually by the MapBiomas Project using Landsat satellite imagery and machine learning classification techniques. The dataset provides consistent annual land cover maps at 30-meter resolution covering the period from 1985 to 2024. Bolivia's ... | | [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [mapbiomas-public](https://developers.google.com/earth-engine/datasets/tags/mapbiomas-public.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### MapBiomas Land Use and Land Cover - Brazil V1.0 ![](https://developers.google.com/earth-engine/datasets/images/mapbiomas-public/projects_mapbiomas-public_assets_brazil_lulc_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_mapbiomas-public_assets_brazil_lulc_v1.md.txt) | | MapBiomas Land Use and Land Cover (LULC) dataset for Brazil is produced annually by the MapBiomas Project using Landsat satellite imagery and machine learning classification techniques. The dataset provides consistent, thematically detailed maps at 30-meter resolution, covering multiple decades and updated each year. Each image ... | | [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [mapbiomas-public](https://developers.google.com/earth-engine/datasets/tags/mapbiomas-public.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### MapBiomas Land Use and Land Cover - Ecuador V1.0 ![](https://developers.google.com/earth-engine/datasets/images/mapbiomas-public/projects_mapbiomas-public_assets_ecuador_lulc_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_mapbiomas-public_assets_ecuador_lulc_v1.md.txt) | | MapBiomas Land Use and Land Cover (LULC) dataset for Ecuador is produced annually by the MapBiomas Project using Landsat satellite imagery and machine learning classification techniques. The dataset provides consistent annual land cover maps at 30-meter resolution covering the period from 1985 to 2024. Ecuador's ... | | [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [mapbiomas-public](https://developers.google.com/earth-engine/datasets/tags/mapbiomas-public.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### MethaneAIR L3 Concentration V1.1.0 ![](https://developers.google.com/earth-engine/datasets/images/edf-methanesat-ee/projects_edf-methanesat-ee_assets_mair_L3concentration_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_edf-methanesat-ee_assets_mair_L3concentration.md.txt) | | This dataset provides geospatial data for the total column dry air mole fraction of methane in the atmosphere, "XCH4", as observed by the MethaneAIR imaging spectrometer. XCH4 is defined as the total column amount (number of molecules) of methane ("CH4") divided by the total amount ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [edf-methanesat-ee](https://developers.google.com/earth-engine/datasets/tags/edf-methanesat-ee.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### MethaneAIR L3 Concentration v1 ![](https://developers.google.com/earth-engine/datasets/images/EDF/EDF_MethaneSAT_MethaneAIR_L3concentration_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EDF_MethaneSAT_MethaneAIR_L3concentration.md.txt) | | This dataset provides geospatial data for the total column dry air mole fraction of methane in the atmosphere, "XCH4", as observed by the MethaneAIR imaging spectrometer. XCH4 is defined as the total column amount (number of molecules) of methane ("CH4") divided by the total amount ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) | - |---| | [### MethaneAIR L4 Area Sources v1 ![](https://developers.google.com/earth-engine/datasets/images/EDF/EDF_MethaneSAT_MethaneAIR_L4area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EDF_MethaneSAT_MethaneAIR_L4area.md.txt) | | The area emissions model is still in development and not representative of a final product. This dataset provides spatially disaggregated methane emission fluxes (kg/hr) using measurements from MethaneAIR flights focused on oil and gas producing regions throughout the United States. Total emissions for the survey ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) | - |---| | [### MethaneAIR L4 Point Sources V1.1.0 ![](https://developers.google.com/earth-engine/datasets/images/edf-methanesat-ee/projects_edf-methanesat-ee_assets_mair_L4point_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_edf-methanesat-ee_assets_mair_L4point.md.txt) | | This dataset provides data for high-emitting methane point source detections (kg/hr) over 13 oil and gas or coal extraction areas from Colorado, New Mexico, and Texas in the west to Pennsylvania, Ohio, and West Virginia in the east, plus three urban areas (New York City, ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [edf-methanesat-ee](https://developers.google.com/earth-engine/datasets/tags/edf-methanesat-ee.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### MethaneAIR L4 Point Sources v1 ![](https://developers.google.com/earth-engine/datasets/images/EDF/EDF_MethaneSAT_MethaneAIR_L4point_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EDF_MethaneSAT_MethaneAIR_L4point.md.txt) | | This dataset provides data for high-emitting methane point source detections (kg/hr) over 13 oil and gas or coal extraction areas from Colorado, New Mexico, and Texas in the west to Pennsylvania, Ohio, and West Virginia in the east, plus three urban areas (New York City, ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) | - |---| | [### Monitoring Trends in Burn Severity (MTBS) Burn Severity Images ![](https://developers.google.com/earth-engine/datasets/images/USFS/USFS_GTAC_MTBS_annual_burn_severity_mosaics_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USFS_GTAC_MTBS_annual_burn_severity_mosaics_v1.md.txt) | | The burn severity mosaics consist of thematic raster images of MTBS burn severity classes for all currently completed MTBS fires for the continental United States, Alaska, Hawaii and Puerto Rico. Mosaicked burn severity images are compiled annually for each year by US State and the ... | | [eros](https://developers.google.com/earth-engine/datasets/tags/eros.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) | - |---| | [### Multi Observation Global Ocean Sea Surface Salinity and Sea Surface Density : Daily, Multi-Year Reprocessed ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_SEA_SURFACE_REP_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_SEA_SURFACE_REP_DAILY.md.txt) | | Multi Observation Global Ocean Sea Surface Salinity and Sea Surface Density is an oceanographic product that provides daily, global, and gap-free Level-4 (L4) analyses of Sea Surface Salinity (SSS) and Sea Surface Density (SSD) at a high resolution of 1/8 degree. This product is generated ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Multi Observation Global Ocean Sea Surface Salinity and Sea Surface Density : Daily, Near Real Time ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_GLOBAL_SEA_SURFACE_NRT_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_GLOBAL_SEA_SURFACE_NRT_DAILY.md.txt) | | Multi Observation Global Ocean Sea Surface Salinity and Sea Surface Density is an oceanographic product that provides daily, global, and gap-free Level-4 (L4) analyses of Sea Surface Salinity (SSS) and Sea Surface Density (SSD) at a high resolution of 1/8 degree. This product is generated ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Murray Global Intertidal Change Classification ![](https://developers.google.com/earth-engine/datasets/images/UQ/UQ_murray_Intertidal_v1_1_global_intertidal_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UQ_murray_Intertidal_v1_1_global_intertidal.md.txt) | | The Murray Global Intertidal Change Dataset contains global maps of tidal flat ecosystems produced via a supervised classification of 707,528 Landsat Archive images. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data. The ... | | [coastal](https://developers.google.com/earth-engine/datasets/tags/coastal.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [intertidal](https://developers.google.com/earth-engine/datasets/tags/intertidal.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [murray](https://developers.google.com/earth-engine/datasets/tags/murray.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### Murray Global Intertidal Change Data Mask ![](https://developers.google.com/earth-engine/datasets/images/UQ/UQ_murray_Intertidal_v1_1_data_mask_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UQ_murray_Intertidal_v1_1_data_mask.md.txt) | | The Murray Global Intertidal Change Dataset contains global maps of tidal flat ecosystems produced via a supervised classification of 707,528 Landsat Archive images. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data. The ... | | [coastal](https://developers.google.com/earth-engine/datasets/tags/coastal.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [intertidal](https://developers.google.com/earth-engine/datasets/tags/intertidal.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [murray](https://developers.google.com/earth-engine/datasets/tags/murray.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### Murray Global Intertidal Change QA Pixel Count ![](https://developers.google.com/earth-engine/datasets/images/UQ/UQ_murray_Intertidal_v1_1_qa_pixel_count_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UQ_murray_Intertidal_v1_1_qa_pixel_count.md.txt) | | The Murray Global Intertidal Change Dataset contains global maps of tidal flat ecosystems produced via a supervised classification of 707,528 Landsat Archive images. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data. The ... | | [coastal](https://developers.google.com/earth-engine/datasets/tags/coastal.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [intertidal](https://developers.google.com/earth-engine/datasets/tags/intertidal.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [murray](https://developers.google.com/earth-engine/datasets/tags/murray.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### Murray Global Tidal Wetland Change v1.0 (1999-2019) ![](https://developers.google.com/earth-engine/datasets/images/JCU/JCU_Murray_GIC_global_tidal_wetland_change_2019_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JCU_Murray_GIC_global_tidal_wetland_change_2019.md.txt) | | The Murray Global Tidal Wetland Change Dataset contains maps of the global extent of tidal wetlands and their change. The maps were developed from a three stage classification that sought to (i) estimate the global distribution of tidal wetlands (defined as either tidal marsh, tidal ... | | [coastal](https://developers.google.com/earth-engine/datasets/tags/coastal.md.txt) [ecosystem](https://developers.google.com/earth-engine/datasets/tags/ecosystem.md.txt) [intertidal](https://developers.google.com/earth-engine/datasets/tags/intertidal.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [mangrove](https://developers.google.com/earth-engine/datasets/tags/mangrove.md.txt) [murray](https://developers.google.com/earth-engine/datasets/tags/murray.md.txt) | - |---| | [### NAIP: National Agriculture Imagery Program ![](https://developers.google.com/earth-engine/datasets/images/USDA/USDA_NAIP_DOQQ_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USDA_NAIP_DOQQ.md.txt) | | The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. NAIP projects are contracted each year based upon available funding and the imagery acquisition cycle. Beginning in 2003, NAIP was acquired on a 5-year cycle. 2008 was ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### NASA SRTM Digital Elevation 30m ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_SRTMGL1_003_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_SRTMGL1_003.md.txt) | | The Shuttle Radar Topography Mission (SRTM, see Farr et al. 2007) digital elevation data is an international research effort that obtained digital elevation models on a near-global scale. This SRTM V3 product (SRTM Plus) is provided by NASA JPL at a resolution of 1 arc-second ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### NASADEM: NASA 30m Digital Elevation Model ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NASADEM_HGT_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NASADEM_HGT_001.md.txt) | | NASADEM is a reprocessing of SRTM data, with improved accuracy by incorporating auxiliary data from ASTER GDEM, ICESat GLAS, and PRISM datasets. The most significant processing improvements involve void reduction through improved phase unwrapping and using ICESat GLAS data for control. Documentation: User's Guide | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### NCEP-DOE Reanalysis 2 (Gaussian Grid), Total Cloud Coverage ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NCEP_DOE_RE2_total_cloud_coverage_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NCEP_DOE_RE2_total_cloud_coverage.md.txt) | | This collection is no longer being updated. The Model is no longer being updated at the source. NCEP-DOE Reanalysis 2 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1979 through the previous year. | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### NCEP/NCAR Reanalysis Data, Sea-Level Pressure \[deprecated\] ![](https://developers.google.com/earth-engine/datasets/images/NCEP_RE/NCEP_RE_sea_level_pressure_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_sea_level_pressure.md.txt) | | The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) | - |---| | [### NCEP/NCAR Reanalysis Data, Surface Temperature \[deprecated\] ![](https://developers.google.com/earth-engine/datasets/images/NCEP_RE/NCEP_RE_surface_temp_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_temp.md.txt) | | The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [reanalysis](https://developers.google.com/earth-engine/datasets/tags/reanalysis.md.txt) | - |---| | [### NCEP/NCAR Reanalysis Data, Water Vapor \[deprecated\] ![](https://developers.google.com/earth-engine/datasets/images/NCEP_RE/NCEP_RE_surface_wv_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_wv.md.txt) | | The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [reanalysis](https://developers.google.com/earth-engine/datasets/tags/reanalysis.md.txt) | - |---| | [### NEON Canopy Height Model (CHM) ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_CHM_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_CHM_001.md.txt) | | Height of the top of canopy above bare earth (Canopy Height Model; CHM). The CHM is derived from the NEON LiDAR point cloud and is generated by creating a continuous surface of canopy height estimates across the entire spatial domain of the LiDAR survey. The ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### NEON Canopy Nitrogen Content (CNC) ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_CNC_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_CNC_002.md.txt) | | Modelled canopy nitrogen concentration calibrated with NEON plant foliar chemistry observations and predicted with L1 surface directional reflectance, derived from the NEON Imaging Spectrometer (NIS). Bands include 1) canopy nitrogen percent, 2) canopy nitrogen model uncertainty, 3) classification result for needle vs. non-needle model and ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [hyperspectral](https://developers.google.com/earth-engine/datasets/tags/hyperspectral.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) | - |---| | [### NEON Digital Elevation Model (DEM) ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_DEM_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_DEM_001.md.txt) | | Digital models of the surface (DSM) and terrain (DTM) derived from NEON LiDAR data. DSM: Surface features (topographic information with vegetation and man-made structures present). DTM: Bare earth elevation (topographic information with vegetation and man-made structures removed). Images are given in meters above mean sea ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### NEON RGB Camera Imagery ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_RGB_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_RGB_001.md.txt) | | High resolution Red-Green-Blue (RGB) orthorectified camera images mosaicked and output onto a fixed, uniform spatial grid using nearest-neighbor resampling; spatial resolution is 0.1 m. The digital camera is part of a suite of instruments on the NEON Airborne Observation Platform (AOP) that also includes a ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) [neon-prod-earthengine](https://developers.google.com/earth-engine/datasets/tags/neon-prod-earthengine.md.txt) [orthophoto](https://developers.google.com/earth-engine/datasets/tags/orthophoto.md.txt) | - |---| | [### NEON Surface Bidirectional Reflectance ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_HSI_REFL_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_HSI_REFL_002.md.txt) | | The NEON AOP Surface Bidirectional Reflectance is a hyperspectral VSWIR (visible to shortwave infrared) data product, containing 426 bands spanning wavelengths from \~380 nm to 2510 nm. Reflectance is scaled by a factor of 10000. Wavelengths between 1340-1445 nm and 1790-1955 nm are set to ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [hyperspectral](https://developers.google.com/earth-engine/datasets/tags/hyperspectral.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) [neon-prod-earthengine](https://developers.google.com/earth-engine/datasets/tags/neon-prod-earthengine.md.txt) | - |---| | [### NEON Surface Directional Reflectance ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_HSI_REFL_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_HSI_REFL_001.md.txt) | | The NEON AOP Surface Directional Reflectance is a hyperspectral VSWIR (visible to shortwave infrared) data product, containing 426 bands spanning wavelengths from \~380 nm to 2510 nm. Reflectance is scaled by a factor of 10000. Wavelengths between 1340-1445 nm and 1790-1955 nm are set to ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [hyperspectral](https://developers.google.com/earth-engine/datasets/tags/hyperspectral.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) [neon-prod-earthengine](https://developers.google.com/earth-engine/datasets/tags/neon-prod-earthengine.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_ENSEMBLE_STATS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30_ENSEMBLE_STATS.md.txt) | | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-DCP30: NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30.md.txt) | | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-GDDP-CMIP6: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GDDP-CMIP6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GDDP-CMIP6.md.txt) | | The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6, see Thrasher et al. 2022) and across two of the four "Tier 1" greenhouse gas emissions scenarios ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-GDDP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-GDDP.md.txt) | | The NASA NEX-GDDP dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across two of the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) | - |---| | [### NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Africa ![](https://developers.google.com/earth-engine/datasets/images/planet-nicfi/projects_planet-nicfi_assets_basemaps_africa_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_planet-nicfi_assets_basemaps_africa.md.txt) | | This image collection provides access to high-resolution satellite monitoring of the tropics for the primary purpose of reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest regrowth, restoration and enhancement, and facilitating sustainable development, all of ... | | [basemaps](https://developers.google.com/earth-engine/datasets/tags/basemaps.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [nicfi](https://developers.google.com/earth-engine/datasets/tags/nicfi.md.txt) [planet](https://developers.google.com/earth-engine/datasets/tags/planet.md.txt) [planet-nicfi](https://developers.google.com/earth-engine/datasets/tags/planet-nicfi.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Americas ![](https://developers.google.com/earth-engine/datasets/images/planet-nicfi/projects_planet-nicfi_assets_basemaps_americas_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_planet-nicfi_assets_basemaps_americas.md.txt) | | This image collection provides access to high-resolution satellite monitoring of the tropics for the primary purpose of reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest regrowth, restoration and enhancement, and facilitating sustainable development, all of ... | | [basemaps](https://developers.google.com/earth-engine/datasets/tags/basemaps.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [nicfi](https://developers.google.com/earth-engine/datasets/tags/nicfi.md.txt) [planet](https://developers.google.com/earth-engine/datasets/tags/planet.md.txt) [planet-nicfi](https://developers.google.com/earth-engine/datasets/tags/planet-nicfi.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Asia ![](https://developers.google.com/earth-engine/datasets/images/planet-nicfi/projects_planet-nicfi_assets_basemaps_asia_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_planet-nicfi_assets_basemaps_asia.md.txt) | | This image collection provides access to high-resolution satellite monitoring of the tropics for the primary purpose of reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest regrowth, restoration and enhancement, and facilitating sustainable development, all of ... | | [basemaps](https://developers.google.com/earth-engine/datasets/tags/basemaps.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [nicfi](https://developers.google.com/earth-engine/datasets/tags/nicfi.md.txt) [planet](https://developers.google.com/earth-engine/datasets/tags/planet.md.txt) [planet-nicfi](https://developers.google.com/earth-engine/datasets/tags/planet-nicfi.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### NLCD 2019: USGS National Land Cover Database, 2019 release ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_NLCD_RELEASES_2019_REL_NLCD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2019_REL_NLCD.md.txt) | | NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover database spanning 8 epochs (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019). A ninth epoch for 2021 is also available here. The images rely on the imperviousness data layer for the urban ... | | [blm](https://developers.google.com/earth-engine/datasets/tags/blm.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [mrlc](https://developers.google.com/earth-engine/datasets/tags/mrlc.md.txt) [nlcd](https://developers.google.com/earth-engine/datasets/tags/nlcd.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### NLCD 2021: USGS National Land Cover Database, 2021 release ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_NLCD_RELEASES_2021_REL_NLCD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2021_REL_NLCD.md.txt) | | The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals ... | | [blm](https://developers.google.com/earth-engine/datasets/tags/blm.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [mrlc](https://developers.google.com/earth-engine/datasets/tags/mrlc.md.txt) [nlcd](https://developers.google.com/earth-engine/datasets/tags/nlcd.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### NLDAS-2: North American Land Data Assimilation System Forcing Fields ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NLDAS_FORA0125_H002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NLDAS_FORA0125_H002.md.txt) | | Land Data Assimilation System (LDAS) combines multiple sources of observations (such as precipitation gauge data, satellite data, and radar precipitation measurements) to produce estimates of climatological properties at or near the Earth''s surface. This dataset is the primary (default) forcing file (File A) for Phase ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) | - |---| | [### NOAA AVHRR Pathfinder Version 5.3 Collated Global 4km Sea Surface Temperature ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_SST_PATHFINDER_V53_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_SST_PATHFINDER_V53.md.txt) | | The AVHRR Pathfinder Version 5.3 Sea Surface Temperature dataset (PFV53) is a collection of global, twice-daily 4km sea surface temperature data produced in a partnership by the NOAA National Oceanographic Data Center and the University of Miami's Rosenstiel School of Marine and Atmospheric Science. PFV53 ... | | [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [sst](https://developers.google.com/earth-engine/datasets/tags/sst.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [wind](https://developers.google.com/earth-engine/datasets/tags/wind.md.txt) | - |---| | [### NOAA CDR AVHRR AOT: Daily Aerosol Optical Thickness Over Global Oceans, v04 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_AVHRR_AOT_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_AOT_V4.md.txt) | | The NOAA Climate Data Record (CDR) of Aerosol Optical Thickness (AOT) is a collection of global daily 0.1 degree derived data from the PATMOS-x AVHRR level-2b channel 1 (0.63 micron) orbital clear-sky radiance. The aerosol product is generated from AVHRR imagery in cloud-free conditions during ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aot](https://developers.google.com/earth-engine/datasets/tags/aot.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [atmospheric](https://developers.google.com/earth-engine/datasets/tags/atmospheric.md.txt) [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) | - |---| | [### NOAA CDR AVHRR LAI FAPAR: Leaf Area Index and Fraction of Absorbed Photosynthetically Active Radiation, Version 5 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_AVHRR_LAI_FAPAR_V5_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_LAI_FAPAR_V5.md.txt) | | The NOAA Climate Data Record (CDR) of AVHRR Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) dataset contains derived values that characterize the canopy and photosynthetic activity of plants. This dataset is derived from the NOAA AVHRR Surface Reflectance product and ... | | [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [fapar](https://developers.google.com/earth-engine/datasets/tags/fapar.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### NOAA CDR AVHRR NDVI: Normalized Difference Vegetation Index, Version 5 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_AVHRR_NDVI_V5_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_NDVI_V5.md.txt) | | The NOAA Climate Data Record (CDR) of AVHRR Normalized Difference Vegetation Index (NDVI) contains gridded daily NDVI derived from the NOAA AVHRR Surface Reflectance product. It provides a measurement of surface vegetation coverage activity, gridded at a resolution of 0.05° and computed globally over land ... | | [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### NOAA CDR AVHRR: Surface Reflectance, Version 5 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_AVHRR_SR_V5_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_SR_V5.md.txt) | | The NOAA Climate Data Record (CDR) of AVHRR Surface Reflectance contains gridded daily surface reflectance and brightness temperatures derived from the Advanced Very High Resolution Radiometer (AVHRR) sensors onboard seven NOAA polar orbiting satellites. The data are gridded at a resolution of 0.05° and computed ... | | [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### NOAA CDR GRIDSAT-B1: Geostationary IR Channel Brightness Temperature ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_GRIDSAT-B1_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_GRIDSAT-B1_V2.md.txt) | | Note: This dataset has not been updated by the provider since 2024-03-31 due to ongoing infrastructure updates. There is no current timeline for when dataset updates will resume. This dataset provides a high quality Climate Data Record (CDR) of global infrared measurements from geostationary satellites. ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [infrared](https://developers.google.com/earth-engine/datasets/tags/infrared.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### NOAA CDR OISST v02r01: Optimum Interpolation Sea Surface Temperature ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_OISST_V2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2_1.md.txt) | | The NOAA 1/4 degree daily Optimum Interpolation Sea Surface Temperature (OISST) provides complete ocean temperature fields constructed by combining bias-adjusted observations from different platforms (satellite, ships, buoys) on a regular global grid, with gaps filled in by interpolation. Satellite data from the Advanced Very High ... | | [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### NOAA CDR PATMOSX: Cloud Properties, Reflectance, and Brightness Temperatures, Version 5.3 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_PATMOSX_V53_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_PATMOSX_V53.md.txt) | | This dataset provides high quality Climate Data Record (CDR) of multiple cloud properties along with Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Atmospheres Extended (PATMOS-x) brightness temperatures and reflectances. These data have been fitted to a 0.1 x 0.1 equal angle-grid with both ascending and ... | | [atmospheric](https://developers.google.com/earth-engine/datasets/tags/atmospheric.md.txt) [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) | - |---| | [### NOAA CDR VIIRS LAI FAPAR: Leaf Area Index and Fraction of Absorbed Photosynthetically Active Radiation, Version 1 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_VIIRS_LAI_FAPAR_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_VIIRS_LAI_FAPAR_V1.md.txt) | | This Climate Data Record (CDR) combines datasets for Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), two biophysical variables that can be used to evaluate vegetation stress, forecast agricultural yields, and other modeling and resource management applications. LAI tracks the one-sided ... | | [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [fapar](https://developers.google.com/earth-engine/datasets/tags/fapar.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### NOAA CDR VIIRS NDVI: Normalized Difference Vegetation Index, Version 1 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_VIIRS_NDVI_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_VIIRS_NDVI_V1.md.txt) | | This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Visible Infrared Imaging Radiometer Suite (VIIRS) Surface Reflectance. The data record spans from 2014 onward using data from NOAA polar orbiting satellites. The data are projected ... | | [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### NOAA CDR WHOI: Sea Surface Temperature, Version 2 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_SST_WHOI_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_SST_WHOI_V2.md.txt) | | The Sea Surface Temperature - WHOI dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of sea surface temperature over ice-free oceans. The SST values are found through modeling the diurnal variability in combination with ... | | [atmospheric](https://developers.google.com/earth-engine/datasets/tags/atmospheric.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [oisst](https://developers.google.com/earth-engine/datasets/tags/oisst.md.txt) | - |---| | [### NOAA CDR: Ocean Heat Fluxes, Version 2 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_HEAT_FLUXES_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_HEAT_FLUXES_V2.md.txt) | | The Ocean Heat Fluxes dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of the air/ocean heat fluxes over ice-free oceans. This dataset is calculated from the OSB CDR parameters of near-surface atmospheric and sea ... | | [atmospheric](https://developers.google.com/earth-engine/datasets/tags/atmospheric.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [heat](https://developers.google.com/earth-engine/datasets/tags/heat.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### NOAA CDR: Ocean Near-Surface Atmospheric Properties, Version 2 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_ATMOS_NEAR_SURFACE_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_ATMOS_NEAR_SURFACE_V2.md.txt) | | The Ocean Near-Surface Atmospheric Properties dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of air temperature, wind speed, and specific humidity over ice-free ocean surfaces. These atmospheric properties are calculated based on brightness temperature ... | | [atmospheric](https://developers.google.com/earth-engine/datasets/tags/atmospheric.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### NOAA NHC HURDAT2 Atlantic Hurricane Catalog ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NHC_HURDAT2_atlantic_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_atlantic.md.txt) | | Hurricane best track database (HURDAT2). Atlantic basin 1851-2018. | | [hurricane](https://developers.google.com/earth-engine/datasets/tags/hurricane.md.txt) [nhc](https://developers.google.com/earth-engine/datasets/tags/nhc.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### NOAA NHC HURDAT2 Pacific Hurricane Catalog ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NHC_HURDAT2_pacific_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_pacific.md.txt) | | Hurricane best track database (HURDAT2). Pacific basin 1949-2018. | | [hurricane](https://developers.google.com/earth-engine/datasets/tags/hurricane.md.txt) [nhc](https://developers.google.com/earth-engine/datasets/tags/nhc.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### Natural Forests of the World 2020 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_forest_typology_natural_forest_2020_v1_0_collection_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_forest_typology_natural_forest_2020_v1_0_collection.md.txt) | | Natural Forests of the World 2020, provides a global map of natural forest probability for the year 2020 at a 10-meter resolution. It was developed to support initiatives like the European Union's Deforestation Regulation (EUDR) and other efforts for forest conservation and monitoring. The map ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) | - |---| | [### Netherlands orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Netherlands/Netherlands_Beeldmateriaal_LUCHTFOTO_RGB_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Netherlands_Beeldmateriaal_LUCHTFOTO_RGB.md.txt) | | Orthophotos of Netherlands is a set of color orthoimages. Two nationwide aerial photographs are collected per year: a leafless image at 7.5 cm resolution in the spring and one with leaves on trees at 25 cm resolution in the summer. For more information, please see ... | | [netherlands](https://developers.google.com/earth-engine/datasets/tags/netherlands.md.txt) [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) | - |---| | [### OGIM: Oil and Gas Infrastructure Mapping Database v2.5.1 ![](https://developers.google.com/earth-engine/datasets/images/EDF/EDF_OGIM_current_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EDF_OGIM_current.md.txt) | | This dataset provides the locations of oil and gas (O\&G) related infrastructure globally. The Oil and Gas Infrastructure Mapping (OGIM) database is a project developed by the Environmental Defense Fund (EDF) and MethaneSAT LLC, a wholly-owned subsidiary of EDF. The primary objective of developing a ... | | [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) [methaneair](https://developers.google.com/earth-engine/datasets/tags/methaneair.md.txt) | - |---| | [### OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DIST_L3_DIST-ANN-HLS_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DIST_L3_DIST-ANN-HLS_V1.md.txt) | | The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) product Version 1 summarizes the DIST-ALERT data product into an annual vegetation disturbance data product. The DIST-ANN-HLS product provides annual metrics and classifications of vegetation disturbance ... | | [disturbance](https://developers.google.com/earth-engine/datasets/tags/disturbance.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### OPERA Radiometric Terrain-Corrected SAR Backscatter from Sentinel-1 Static Layers V1.0 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_RTC_L2_V1_S1_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_RTC_L2_V1_S1_STATIC.md.txt) | | This product contains static radar geometry layers associated with the OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 dataset. Due to the S1 mission's narrow orbital tube, radar-geometry layers such as incidence angle, local incidence angle, number of looks, and RTC Area Normalization Factor (ANF) ... | | [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) | - |---| | [### OPERA Radiometric Terrain-Corrected SAR Backscatter from Sentinel-1 V1.0 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_RTC_L2_V1_S1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_RTC_L2_V1_S1.md.txt) | | This product consists of radar backscatter normalized with respect to the topography. It maps signals related to the physical properties of ground scattering objects, such as surface roughness and soil moisture and/or vegetation. The OPERA RTC-S1 product is derived from Copernicus Sentinel-1 Interferometric Wide (IW) ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image MODIS Aqua Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_MODIS-Aqua_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Aqua_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image MODIS Terra Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_MODIS-Terra_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Terra_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image SeaWiFS Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_SeaWiFS_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_SeaWiFS_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### Open Buildings Temporal V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_Research_open-buildings-temporal_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1.md.txt) | | The Open Buildings 2.5D Temporal Dataset contains data about building presence, fractional building counts, and building heights at an effective1 spatial resolution of 4m (rasters are provided at 0.5m resolution) at an annual cadence from 2016-2023. It is produced from open-source, low-resolution imagery from the ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [asia](https://developers.google.com/earth-engine/datasets/tags/asia.md.txt) [built-up](https://developers.google.com/earth-engine/datasets/tags/built-up.md.txt) [height](https://developers.google.com/earth-engine/datasets/tags/height.md.txt) [open-buildings](https://developers.google.com/earth-engine/datasets/tags/open-buildings.md.txt) | - |---| | [### Open Buildings V3 Polygons ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_Research_open-buildings_v3_polygons_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v3_polygons.md.txt) | | This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km². For each building in this dataset ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [asia](https://developers.google.com/earth-engine/datasets/tags/asia.md.txt) [building](https://developers.google.com/earth-engine/datasets/tags/building.md.txt) [built-up](https://developers.google.com/earth-engine/datasets/tags/built-up.md.txt) [open-buildings](https://developers.google.com/earth-engine/datasets/tags/open-buildings.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### OpenET DisALEXI Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_0.md.txt) | | Atmosphere-Land Exchange Inverse / Disaggregation of the Atmosphere-Land Exchange Inverse (ALEXI/DisALEXI). DisALEXI was ported to Google Earth Engine as part of the OpenET framework. The baseline ALEXI/DisALEXI model structure is described by Anderson et al. (2012, 2018). The ALEXI evapotranspiration (ET) model specifically uses time ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### OpenET DisALEXI Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_1.md.txt) | | Atmosphere-Land Exchange Inverse / Disaggregation of the Atmosphere-Land Exchange Inverse (ALEXI/DisALEXI). DisALEXI was ported to Google Earth Engine as part of the OpenET framework. The baseline ALEXI/DisALEXI model structure is described by Anderson et al. (2012, 2018). The ALEXI evapotranspiration (ET) model specifically uses time ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### OpenET Ensemble Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0.md.txt) | | The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET Ensemble Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0_pre2000.md.txt) | | The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET Ensemble Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_1.md.txt) | | The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET PT-JPL Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0.md.txt) | | Priestley-Taylor Jet Propulsion Laboratory (PT-JPL). The core formulation of the PT-JPL model within the OpenET framework has not changed from the original formulation detailed in Fisher et al. (2008). However, enhancements and updates to model inputs and time integration for PT-JPL were made to take ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET PT-JPL Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0_pre2000.md.txt) | | Priestley-Taylor Jet Propulsion Laboratory (PT-JPL). The core formulation of the PT-JPL model within the OpenET framework has not changed from the original formulation detailed in Fisher et al. (2008). However, enhancements and updates to model inputs and time integration for PT-JPL were made to take ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET PT-JPL Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_1.md.txt) | | Priestley-Taylor Jet Propulsion Laboratory (PT-JPL). The core formulation of the PT-JPL model within the OpenET framework has not changed from the original formulation detailed in Fisher et al. (2008). However, enhancements and updates to model inputs and time integration for PT-JPL were made to take ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET SIMS Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_sims_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_sims_conus_gridmet_monthly_v2_0.md.txt) | | Satellite Irrigation Management Support (SIMS). The NASA Satellite Irrigation Management Support (SIMS) model was originally developed to support satellite mapping of crop coefficients and evapotranspiration (ET) from irrigated lands and to increase access to this data to support use in irrigation scheduling and regional assessment ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET SIMS Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_sims_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_sims_conus_gridmet_monthly_v2_0_pre2000.md.txt) | | Satellite Irrigation Management Support (SIMS). The NASA Satellite Irrigation Management Support (SIMS) model was originally developed to support satellite mapping of crop coefficients and evapotranspiration (ET) from irrigated lands and to increase access to this data to support use in irrigation scheduling and regional assessment ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET SIMS Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_sims_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_sims_conus_gridmet_monthly_v2_1.md.txt) | | Satellite Irrigation Management Support (SIMS). The NASA Satellite Irrigation Management Support (SIMS) model was originally developed to support satellite mapping of crop coefficients and evapotranspiration (ET) from irrigated lands and to increase access to this data to support use in irrigation scheduling and regional assessment ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET SSEBop Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0.md.txt) | | Operational Simplified Surface Energy Balance (SSEBop). The Operational Simplified Surface Energy Balance (SSEBop) model by Senay et al. (2013, 2017) is a thermal-based simplified surface energy model for estimating actual ET based on the principles of satellite psychrometry (Senay 2018). The OpenET SSEBop implementation uses ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET SSEBop Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0_pre2000.md.txt) | | Operational Simplified Surface Energy Balance (SSEBop). The Operational Simplified Surface Energy Balance (SSEBop) model by Senay et al. (2013, 2017) is a thermal-based simplified surface energy model for estimating actual ET based on the principles of satellite psychrometry (Senay 2018). The OpenET SSEBop implementation uses ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET SSEBop Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_1.md.txt) | | Operational Simplified Surface Energy Balance (SSEBop). The Operational Simplified Surface Energy Balance (SSEBop) model (Senay et al., 2013; 2023) is a thermal based approach for estimating actual evapotranspiration (ET) using the principles of satellite psychrometry (Senay, 2018). As one of the core models in the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET eeMETRIC Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0.md.txt) | | Google Earth Engine implementation of the Mapping Evapotranspiration at high Resolution with Internalized Calibration model (eeMETRIC). eeMETRIC applies the advanced METRIC algorithms and process of Allen et al. (2007; 2015) and Allen et al. (2013b), where a singular relationship between the near surface air temperature ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET eeMETRIC Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0_pre2000.md.txt) | | Google Earth Engine implementation of the Mapping Evapotranspiration at high Resolution with Internalized Calibration model (eeMETRIC). eeMETRIC applies the advanced METRIC algorithms and process of Allen et al. (2007; 2015) and Allen et al. (2013b), where a singular relationship between the near surface air temperature ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET eeMETRIC Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_1.md.txt) | | Google Earth Engine implementation of the Mapping Evapotranspiration at high Resolution with Internalized Calibration model (eeMETRIC). eeMETRIC applies the advanced METRIC algorithms and process of Allen et al. (2007; 2015) and Allen et al. (2013b), where a singular relationship between the near surface air temperature ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET geeSEBAL Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0.md.txt) | | Google Earth Engine implementation of the Surface Energy Balance Algorithm for Land (SEBAL) model. An overview of the current geeSEBAL version can be found in Laipelt et al. (2021), which is based on the original algorithms developed by Bastiaanssen et al. (1998). The OpenET geeSEBAL ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET geeSEBAL Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0_pre2000.md.txt) | | Google Earth Engine implementation of the Surface Energy Balance Algorithm for Land (SEBAL) model. An overview of the current geeSEBAL version can be found in Laipelt et al. (2021), which is based on the original algorithms developed by Bastiaanssen et al. (1998). The OpenET geeSEBAL ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenET geeSEBAL Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_1.md.txt) | | Google Earth Engine implementation of the Surface Energy Balance Algorithm for Land (SEBAL) model. An overview of the current geeSEBAL version can be found in Laipelt et al. (2021), which is based on the original algorithms developed by Bastiaanssen et al. (1998). The OpenET geeSEBAL ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [openet](https://developers.google.com/earth-engine/datasets/tags/openet.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OpenLandMap Clay Content ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02.md.txt) | | Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here. Antarctica is ... | | [clay](https://developers.google.com/earth-engine/datasets/tags/clay.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Daytime Monthly Median ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_M_v01.md.txt) | | Land Surface Temperature daytime monthly mean value 2000-2017. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antarctica is not included. To access and visualize maps outside of Earth Engine, use this page. ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Daytime Monthly Standard Deviation ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01.md.txt) | | Long-term MODIS LST day-time and night-time temperatures standard deviation at 1 km based on the 2000-2017 time series. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antarctica is not included. To access ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Monthly Day-Night Difference ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAYNIGHT_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAYNIGHT_M_v01.md.txt) | | Long-term MODIS LST day-time and night-time differences at 1 km based on the 2000-2017 time series Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antarctica is not included. To access and visualize ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [day](https://developers.google.com/earth-engine/datasets/tags/day.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### OpenLandMap Potential Distribution of Biomes ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_PNV_PNV_BIOME-TYPE_BIOME00K_C_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_PNV_PNV_BIOME-TYPE_BIOME00K_C_v01.md.txt) | | Potential Natural Vegetation biomes global predictions of classes (based on predictions using the BIOMES 6000 dataset's 'current biomes' category.) Potential Natural Vegetation (PNV) is the vegetation cover in equilibrium with climate that would exist at a given location non-impacted by human activities. PNV is useful ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [potential](https://developers.google.com/earth-engine/datasets/tags/potential.md.txt) | - |---| | [### OpenLandMap Potential FAPAR Monthly ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_PNV_PNV_FAPAR_PROBA-V_D_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_PNV_PNV_FAPAR_PROBA-V_D_v01.md.txt) | | Potential Natural Vegetation FAPAR predicted monthly median (based on PROB-V FAPAR 2014-2017). Description. To access and visualize maps outside of Earth Engine, use this page. If you discover a bug, artifact or inconsistency in the LandGIS maps or if you have a question please use ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [fapar](https://developers.google.com/earth-engine/datasets/tags/fapar.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### OpenLandMap Precipitation Monthly ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_PRECIPITATION_SM2RAIN_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_PRECIPITATION_SM2RAIN_M_v01.md.txt) | | Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018, IMERG, CHELSA Climate, and WorldClim. Downscaled to 1 km resolution using gdalwarp (cubic splines) and an average between WorldClim, CHELSA Climate, and IMERG monthly product (see, e.g, "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). 3x higher weight is given ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### OpenLandMap Predicted Hapludalfs Probability ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P_v01.md.txt) | | Predicted USDA soil great groups at 250 m (probabilities). Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles. To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### OpenLandMap Sand Content ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02.md.txt) | | Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here. Antarctica is ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [sand](https://developers.google.com/earth-engine/datasets/tags/sand.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### OpenLandMap Soil Bulk Density ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02.md.txt) | | Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Processing steps are described in detail here. Antarctica is not included. To access and visualize maps outside of Earth ... | | [density](https://developers.google.com/earth-engine/datasets/tags/density.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### OpenLandMap Soil Organic Carbon Content ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02.md.txt) | | Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Predicted from a global compilation of soil points. Processing steps are described in detail here. Antarctica is not included. ... | | [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### OpenLandMap Soil Texture Class (USDA System) ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_TEXTURE-CLASS_USDA-TT_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_TEXTURE-CLASS_USDA-TT_M_v02.md.txt) | | Soil texture classes (USDA system) for 6 soil depths (0, 10, 30, 60, 100 and 200 cm) at 250 m Derived from predicted soil texture fractions using the soiltexture package in R. Processing steps are described in detail here. Antarctica is not included. To access ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### OpenLandMap Soil Water Content at 33kPa (Field Capacity) ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01.md.txt) | | Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Training points are based on a global compilation of soil profiles: USDA NCSS AfSPDB ISRIC WISE EGRPR SPADE ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### OpenLandMap Soil pH in H2O ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02.md.txt) | | Soil pH in H2O at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Processing steps are described in detail here. Antarctica is not included. To access and visualize maps outside of Earth Engine, use this page. If you ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [ph](https://developers.google.com/earth-engine/datasets/tags/ph.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### OpenLandMap USDA Soil Taxonomy Great Groups ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01.md.txt) | | Predicted USDA soil great group probabilities at 250m. Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles. To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### Overture Maps - Places: Place ![](https://developers.google.com/earth-engine/datasets/images/overture-maps/overture-maps_places_place_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/overture-maps_places_place.md.txt) | | The Overture Maps Places theme contains more than 64 million point representations of real-world entities: businesses, schools, hospitals, religious organizations, landmarks, mountain peaks, and much more. Each place record includes location coordinates, names, categories, contact information (websites, social media, emails, phones), brand information, addresses, and ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) | - |---| | [### Oxford MAP: Malaria Atlas Project Fractional International Geosphere-Biosphere Programme Landcover ![](https://developers.google.com/earth-engine/datasets/images/Oxford/Oxford_MAP_IGBP_Fractional_Landcover_5km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Oxford_MAP_IGBP_Fractional_Landcover_5km_Annual.md.txt) | | The underlying dataset for this landcover product is the IGBP layer found within the MODIS annual landcover product (MCD12Q1). This data was converted from its categorical format, which has a ≈500 meter resolution, to a fractional product indicating the integer percentage (0-100) of the output ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) | - |---| | [### Oya: 5km Quasi-Global Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/global-precipitation-nowcast/projects_global-precipitation-nowcast_assets_global_estimation_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-precipitation-nowcast_assets_global_estimation.md.txt) | | Oya is a quasi-global, high-resolution precipitation estimation dataset derived from geostationary (GEO) satellite observations. The Oya model utilizes the full spectrum of visible and infrared (VIS-IR) channels from a constellation of GEO satellites --- including GOES-16/18, Meteosat-9/10, and Himawari-8/9 --- to generate precipitation estimates covering ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### PALSAR-2 ScanSAR Level 2.2 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR-2_Level2_2_ScanSAR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR-2_Level2_2_ScanSAR.md.txt) | | The 25 m PALSAR-2 ScanSAR is normalized backscatter data of PALSAR-2 broad area observation mode with observation width of 350 km. The SAR imagery was ortho-rectificatied and slope corrected using the ALOS World 3D - 30 m (AW3D30) Digital Surface Model. Polarization data are stored ... | | [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [palsar2](https://developers.google.com/earth-engine/datasets/tags/palsar2.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### PARDIG LR (Long-Record) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### PARDIG NRT (Near-Real-Time) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_PERSIANN-CDR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_PERSIANN-CDR.md.txt) | | PERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine ... | | [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### PML_V2.2a: Coupled Evapotranspiration and Gross Primary Product (MODIS Edition) ![](https://developers.google.com/earth-engine/datasets/images/pml_evapotranspiration/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a.md.txt) | | The dataset is produced by the Large Scale Hydrology Lab, which specializes in advancing global and regional water cycle research by synthesizing multi-source Earth observations with process-based modeling. The PML-V2.2a (MODIS Edition) product provides global terrestrial evapotranspiration (ET) and gross primary production (GPP) at a ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) [pml-evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/pml-evapotranspiration.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### PML_V2.2a: Coupled Evapotranspiration and Gross Primary Product (VIIRS Edition) ![](https://developers.google.com/earth-engine/datasets/images/pml_evapotranspiration/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a_VIIRS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a_VIIRS.md.txt) | | The dataset is produced by the Large Scale Hydrology Lab, which specializes in advancing global and regional water cycle research by synthesizing multi-source Earth observations with process-based modeling. The PML-V2.2a (VIIRS Edition) product provides global terrestrial evapotranspiration (ET) and gross primary production (GPP) at a ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) [pml-evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/pml-evapotranspiration.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### PRISM Daily Spatial Dataset ANd ![](https://developers.google.com/earth-engine/datasets/images/OREGONSTATE/OREGONSTATE_PRISM_ANd_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_ANd.md.txt) | | The PRISM daily and monthly datasets are gridded weather datasets for the conterminous United States, produced by the PRISM Group at Oregon State University. This collection contains both AN81 and AN91 data, indicated by the 'dataset_type' property. Grids are developed using PRISM (Parameter-elevation Regressions on ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [oregonstate](https://developers.google.com/earth-engine/datasets/tags/oregonstate.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) [prism](https://developers.google.com/earth-engine/datasets/tags/prism.md.txt) | - |---| | [### PRISM Long-Term Normals Dataset Norm91m ![](https://developers.google.com/earth-engine/datasets/images/OREGONSTATE/OREGONSTATE_PRISM_Norm91m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm91m.md.txt) | | The PRISM daily and monthly datasets are gridded weather datasets for the conterminous United States, produced by the PRISM Group at Oregon State University. Grids are developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM interpolation routines simulate how weather varies with elevation, and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [oregonstate](https://developers.google.com/earth-engine/datasets/tags/oregonstate.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) [prism](https://developers.google.com/earth-engine/datasets/tags/prism.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) | - |---| | [### PRISM Monthly Spatial Dataset ANm ![](https://developers.google.com/earth-engine/datasets/images/OREGONSTATE/OREGONSTATE_PRISM_ANm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_ANm.md.txt) | | The PRISM daily and monthly datasets are gridded weather datasets for the conterminous United States, produced by the PRISM Group at Oregon State University. This collection contains both AN81 and AN91 data, as indicated by the 'dataset_type' property. Grids are developed using PRISM (Parameter-elevation Regressions ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [oregonstate](https://developers.google.com/earth-engine/datasets/tags/oregonstate.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) [prism](https://developers.google.com/earth-engine/datasets/tags/prism.md.txt) | - |---| | [### PROBA-V C1 Top Of Canopy Daily Synthesis 100m ![](https://developers.google.com/earth-engine/datasets/images/VITO/VITO_PROBAV_C1_S1_TOC_100M_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_100M.md.txt) | | Proba-V is a satellite mission tasked to map land cover and vegetation growth. It was designed to provide continuity for the VGT optical instrument from the SPOT-4 and SPOT-5 missions. The sensor collects data in three VNIR (visible and near-infrared) bands and one SWIR (short-wave ... | | [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [multispectral](https://developers.google.com/earth-engine/datasets/tags/multispectral.md.txt) [nir](https://developers.google.com/earth-engine/datasets/tags/nir.md.txt) [proba](https://developers.google.com/earth-engine/datasets/tags/proba.md.txt) [probav](https://developers.google.com/earth-engine/datasets/tags/probav.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### PROBA-V C1 Top Of Canopy Daily Synthesis 333m ![](https://developers.google.com/earth-engine/datasets/images/VITO/VITO_PROBAV_C1_S1_TOC_333M_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_333M.md.txt) | | Proba-V is a satellite mission tasked to map land cover and vegetation growth. It was designed to provide continuity for the VGT optical instrument from the SPOT-4 and SPOT-5 missions. The sensor collects data in three VNIR (visible and near-infrared) bands and one SWIR (short-wave ... | | [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [multispectral](https://developers.google.com/earth-engine/datasets/tags/multispectral.md.txt) [nir](https://developers.google.com/earth-engine/datasets/tags/nir.md.txt) [proba](https://developers.google.com/earth-engine/datasets/tags/proba.md.txt) [probav](https://developers.google.com/earth-engine/datasets/tags/probav.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Palm Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_palm_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_palm_model_2026a.md.txt) | | This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) | - |---| | [### Planet SkySat Public Ortho Imagery, Multispectral ![](https://developers.google.com/earth-engine/datasets/images/SKYSAT/SKYSAT_GEN-A_PUBLIC_ORTHO_MULTISPECTRAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/SKYSAT_GEN-A_PUBLIC_ORTHO_MULTISPECTRAL.md.txt) | | This data from Planet labs Inc. SkySat satellites was collected for the experimental "Skybox for Good Beta" program in 2015, as well as for various crisis response events and a few other projects. The data is available in both a 5-band Multispectral/Pan collection, and a ... | | [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [multispectral](https://developers.google.com/earth-engine/datasets/tags/multispectral.md.txt) [pansharpened](https://developers.google.com/earth-engine/datasets/tags/pansharpened.md.txt) [planet](https://developers.google.com/earth-engine/datasets/tags/planet.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [skysat](https://developers.google.com/earth-engine/datasets/tags/skysat.md.txt) | - |---| | [### Planet SkySat Public Ortho Imagery, RGB ![](https://developers.google.com/earth-engine/datasets/images/SKYSAT/SKYSAT_GEN-A_PUBLIC_ORTHO_RGB_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/SKYSAT_GEN-A_PUBLIC_ORTHO_RGB.md.txt) | | This data from Planet labs Inc. SkySat satellites was collected for the experimental "Skybox for Good Beta" program in 2015, as well as for various crisis response events and a few other projects. The data is available in both a 5-band Multispectral/Pan collection, and a ... | | [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [pansharpened](https://developers.google.com/earth-engine/datasets/tags/pansharpened.md.txt) [planet](https://developers.google.com/earth-engine/datasets/tags/planet.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [skysat](https://developers.google.com/earth-engine/datasets/tags/skysat.md.txt) | - |---| | [### Preview National Intertidal Digital Elevation Model 25m 1.0.0 ![](https://developers.google.com/earth-engine/datasets/images/ngis-cat/projects_ngis-cat_assets_DEA_NIDEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_ngis-cat_assets_DEA_NIDEM.md.txt) | | The National Intertidal Digital Elevation Model (NIDEM; Bishop-Taylor et al. 2018, 2019) is a continental-scale elevation dataset for Australia's exposed intertidal zone. NIDEM provides the first three-dimensional representation of Australia's intertidal sandy beaches and shores, tidal flats and rocky shores and reefs at 25 m ... | | [australia](https://developers.google.com/earth-engine/datasets/tags/australia.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ga](https://developers.google.com/earth-engine/datasets/tags/ga.md.txt) | - |---| | [### Primary Humid Tropical Forests ![](https://developers.google.com/earth-engine/datasets/images/UMD/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1.md.txt) | | Primary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. To facilitate national land use planning and balancing the goals of economic development and maintenance of ecosystem services, a primary humid tropical forest map was created ... | | [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [umd](https://developers.google.com/earth-engine/datasets/tags/umd.md.txt) | - |---| | [### Proclamation: USGS GAP PAD-US v2.0 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_PAD-US_v20_proclamation_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_PAD-US_v20_proclamation.md.txt) | | PAD-US is America's official national inventory of U.S. terrestrial and marine protected areas that are dedicated to the preservation of biological diversity and to other natural, recreation and cultural uses, managed for these purposes through legal or other effective means. This database is separated into ... | | [conservation-easements](https://developers.google.com/earth-engine/datasets/tags/conservation-easements.md.txt) [designation](https://developers.google.com/earth-engine/datasets/tags/designation.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [management](https://developers.google.com/earth-engine/datasets/tags/management.md.txt) [ownership](https://developers.google.com/earth-engine/datasets/tags/ownership.md.txt) [protected-areas](https://developers.google.com/earth-engine/datasets/tags/protected-areas.md.txt) | - |---| | [### RCMAP Rangeland Component Timeseries (1985-2023), v06 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_NLCD_RELEASES_2023_REL_RCMAP_V6_COVER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2023_REL_RCMAP_V6_COVER.md.txt) | | 'The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, ... | | [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [disturbance](https://developers.google.com/earth-engine/datasets/tags/disturbance.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [nlcd](https://developers.google.com/earth-engine/datasets/tags/nlcd.md.txt) [rangeland](https://developers.google.com/earth-engine/datasets/tags/rangeland.md.txt) | - |---| | [### RCMAP Rangeland Trends Year for Component Timeseries (1985-2023), v06 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_NLCD_RELEASES_2023_REL_RCMAP_V6_TRENDS_YEAR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2023_REL_RCMAP_V6_TRENDS_YEAR.md.txt) | | This collection includes RCMAP yearly products from 1985 through 2023. The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual ... | | [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [disturbance](https://developers.google.com/earth-engine/datasets/tags/disturbance.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [nlcd](https://developers.google.com/earth-engine/datasets/tags/nlcd.md.txt) [rangeland](https://developers.google.com/earth-engine/datasets/tags/rangeland.md.txt) | - |---| | [### RCMAP Rangeland Trends for Component Timeseries (1985-2023), v06 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_NLCD_RELEASES_2023_REL_RCMAP_V6_TRENDS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2023_REL_RCMAP_V6_TRENDS.md.txt) | | The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, ... | | [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [disturbance](https://developers.google.com/earth-engine/datasets/tags/disturbance.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [nlcd](https://developers.google.com/earth-engine/datasets/tags/nlcd.md.txt) [rangeland](https://developers.google.com/earth-engine/datasets/tags/rangeland.md.txt) | - |---| | [### REMA Mosaic ![](https://developers.google.com/earth-engine/datasets/images/UMN/UMN_PGC_REMA_V1_1_8m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMN_PGC_REMA_V1_1_8m.md.txt) | | The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter and 8-meter spatial resolutions. Mosaicked DEM files are compiled from multiple strips that have been co-registered, blended, and feathered to reduce edge-matching artifacts. | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [pgc](https://developers.google.com/earth-engine/datasets/tags/pgc.md.txt) [rema](https://developers.google.com/earth-engine/datasets/tags/rema.md.txt) [umn](https://developers.google.com/earth-engine/datasets/tags/umn.md.txt) | - |---| | [### REMA Strips 2m ![](https://developers.google.com/earth-engine/datasets/images/UMN/UMN_PGC_REMA_V1_2m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMN_PGC_REMA_V1_2m.md.txt) | | The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter and 8-meter spatial resolutions. Strip DEM files correspond to the overlapping area of the input stereoscopic imagery pair strips as they are collected by DigitalGlobe's ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [pgc](https://developers.google.com/earth-engine/datasets/tags/pgc.md.txt) [rema](https://developers.google.com/earth-engine/datasets/tags/rema.md.txt) [umn](https://developers.google.com/earth-engine/datasets/tags/umn.md.txt) | - |---| | [### REMA Strips 8m ![](https://developers.google.com/earth-engine/datasets/images/UMN/UMN_PGC_REMA_V1_8m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UMN_PGC_REMA_V1_8m.md.txt) | | The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter and 8-meter spatial resolutions. Strip DEM files correspond to the overlapping area of the input stereoscopic imagery pair strips as they are collected by DigitalGlobe's ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [pgc](https://developers.google.com/earth-engine/datasets/tags/pgc.md.txt) [rema](https://developers.google.com/earth-engine/datasets/tags/rema.md.txt) [umn](https://developers.google.com/earth-engine/datasets/tags/umn.md.txt) | - |---| | [### RESOLVE Ecoregions 2017 ![](https://developers.google.com/earth-engine/datasets/images/RESOLVE/RESOLVE_ECOREGIONS_2017_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/RESOLVE_ECOREGIONS_2017.md.txt) | | The RESOLVE Ecoregions dataset, updated in 2017, offers a depiction of the 846 terrestrial ecoregions that represent our living planet. View the stylized map at https://ecoregions2017.appspot.com/ or in Earth Engine. Ecoregions, in the simplest definition, are ecosystems of regional extent. Specifically, ecoregions represent distinct assemblages ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [ecoregions](https://developers.google.com/earth-engine/datasets/tags/ecoregions.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### RGE ALTI: IGN RGE ALTI Digital Elevation 1m ![](https://developers.google.com/earth-engine/datasets/images/IGN/IGN_RGE_ALTI_1M_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IGN_RGE_ALTI_1M_2_0.md.txt) | | The RGE ALTI dataset describes the digital elevation model (DEM) of France with the pixel size of 1m. It was created from surveys obtained by airborne lidar or by correlation of aerial images. Lidar was deployed for flood-prone, coastal, and large forest areas. The vertical ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### RTMA: Real-Time Mesoscale Analysis ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NWS_RTMA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NWS_RTMA.md.txt) | | The Real-Time Mesoscale Analysis (RTMA) is a high-spatial and temporal resolution analysis for near-surface weather conditions. This dataset includes hourly analyses at 2.5 km for CONUS. | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### Reprocessed GLDAS-2.0: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V20_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V20_NOAH_G025_T3H.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### Rubber Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_rubber_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_rubber_model_2026a.md.txt) | | This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) | - |---| | [### SBTN Natural Lands Map v1 ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_SBTN_naturalLands_v1_2020_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_SBTN_naturalLands_v1_2020.md.txt) | | The SBTN Natural Lands Map v1 is a 2020 baseline map of natural and non-natural land covers intended for use by companies setting science-based targets for nature, specifically the SBTN Land target #1: no conversion of natural ecosystems. "Natural" and "non-natural" definitions were adapted from ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### SBTN Natural Lands Map v1.1 ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_SBTN_naturalLands_v1_1_2020_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_SBTN_naturalLands_v1_1_2020.md.txt) | | The SBTN Natural Lands Map v1.1 is a 2020 baseline map of natural and non-natural land covers intended for use by companies setting science-based targets for nature, specifically the SBTN Land target #1: no conversion of natural ecosystems. "Natural" and "non-natural" definitions were adapted from ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### SCANFI: the Spatialized CAnadian National Forest Inventory data product1.2 ![](https://developers.google.com/earth-engine/datasets/images/gcpm041u-lemur/projects_gcpm041u-lemur_assets_scanfi_v12_SCANFI_v1_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcpm041u-lemur_assets_scanfi_v12_SCANFI_v1_2.md.txt) | | This data publication contains a set of 30m resolution raster files representing 2020 Canadian wall-to-wall maps of broad land cover type, forest canopy height, degree of crown closure and aboveground tree biomass, along with species composition of several major tree species. The Spatialized CAnadian National ... | | [canada](https://developers.google.com/earth-engine/datasets/tags/canada.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### SLGA: Soil and Landscape Grid of Australia (Soil Attributes) ![](https://developers.google.com/earth-engine/datasets/images/CSIRO/CSIRO_SLGA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSIRO_SLGA.md.txt) | | The Soil and Landscape Grid of Australia (SLGA) is a comprehensive dataset of soil attributes across Australia at 3 arc-second resolution (\~90m pixels). The surfaces are the outcomes from modelling that describe the spatial distribution of the soil attributes using existing soil data and environmental ... | | [australia](https://developers.google.com/earth-engine/datasets/tags/australia.md.txt) [csiro](https://developers.google.com/earth-engine/datasets/tags/csiro.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [tern](https://developers.google.com/earth-engine/datasets/tags/tern.md.txt) | - |---| | [### SOLUS: Soil properties of the conterminous United States at 100-m resolution ![](https://developers.google.com/earth-engine/datasets/images/USDA/USDA_SOLUS100_V0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USDA_SOLUS100_V0.md.txt) | | SOLUS (Soil Landscapes of the United States) is a national map product developed by the National Cooperative Soil Survey that is focused on providing a consistent set of spatially continuous soil property maps to support large scope soil investigations and land use decisions. SOLUS maps ... | | [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### SPEIbase: Standardised Precipitation-Evapotranspiration Index database, Version 2.11 ![](https://developers.google.com/earth-engine/datasets/images/CSIC/CSIC_SPEI_2_11_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSIC_SPEI_2_11.md.txt) | | The Global SPEI database (SPEIbase) offers long-time robust information about drought conditions at the global scale, with a 0.5 degree pixel size and monthly cadence. It provides SPEI time scales from 1 to 48 months. The Standardized Precipitation-Evapotranspiration Index (SPEI) expresses, as a standardized variate ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### SPL3SMP_E.005 SMAP L3 Radiometer Global Daily 9 km Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL3SMP_E_005_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_005.md.txt) | | Data starting from 2023-12-04 are available in the NASA/SMAP/SPL3SMP_E/006 collection. This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) L-Band radiometer. The daily data here were collected from the descending (local ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### SPL3SMP_E.006 SMAP L3 Radiometer Global Daily 9 km Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL3SMP_E_006_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_006.md.txt) | | Data prior from 2023-12-04 are available in the older NASA/SMAP/SPL3SMP_E/005 collection. They will eventually be reprocessed and added to this collection. This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) L-Band ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### SPL4SMGP.008 SMAP L4 Global 3-hourly 9-km Surface and Root Zone Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL4SMGP_008_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL4SMGP_008.md.txt) | | The SMAP Level-4 (L4) Soil Moisture product includes surface soil moisture (0-5 cm vertical average), root-zone soil moisture (0-100 cm vertical average), and additional research products (not validated), including surface meteorological forcing variables, soil temperature, evapotranspiration, and net radiation. This dataset, formally known as the ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### SPOT Multispectral Imagery 10-20m, Brazil ![](https://developers.google.com/earth-engine/datasets/images/AIRBUS/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_MS_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_MS_V1.md.txt) | | This collection provides 2008-era raw multispectral imagery from the SPOT 2, 4, and 5 satellites over the country of Brazil. These missions, operated by CNES, were designed to provide high-resolution, wide-area optical imagery for managing Earth's resources. SPOT 2 and 4 utilized HRV and HRVIR ... | | [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [forest-code](https://developers.google.com/earth-engine/datasets/tags/forest-code.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [multispectral](https://developers.google.com/earth-engine/datasets/tags/multispectral.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [spot](https://developers.google.com/earth-engine/datasets/tags/spot.md.txt) | - |---| | [### SPOT Multispectral Pseudo Natural Color Imagery 10-20m, Brazil ![](https://developers.google.com/earth-engine/datasets/images/AIRBUS/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_MS_NC_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_MS_NC_V1.md.txt) | | This collection contains 2008-era "pseudo natural color" RGB images derived from the native multispectral bands of SPOT 2, 4, and 5 for Brazil. Because the HRV and HRG sensors did not include a native blue band, this product synthesizes an RGB representation to approximate a ... | | [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [forest-code](https://developers.google.com/earth-engine/datasets/tags/forest-code.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [spot](https://developers.google.com/earth-engine/datasets/tags/spot.md.txt) | - |---| | [### SPOT Panchromatic Imagery 5-10m, Brazil ![](https://developers.google.com/earth-engine/datasets/images/AIRBUS/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_PAN_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_PAN_V1.md.txt) | | This collection contains the raw panchromatic (PAN) bands from the SPOT 2, 4, and 5 satellites for Brazil circa 2008. The panchromatic sensor provides the highest native spatial resolution of the missions, capturing light across a broad visible spectrum (0.51-0.73 µm for SPOT 2, 0.61-0.68 ... | | [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [forest-code](https://developers.google.com/earth-engine/datasets/tags/forest-code.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [spot](https://developers.google.com/earth-engine/datasets/tags/spot.md.txt) | - |---| | [### SPOT Pansharpened Pseudo Natural Color Imagery 5-10m, Brazil ![](https://developers.google.com/earth-engine/datasets/images/AIRBUS/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_PMS_NC_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AIRBUS_SPOT_2_4_5_BRAZIL_2007_2009_PMS_NC_V1.md.txt) | | This collection provides high-resolution pansharpened pseudo-natural color SPOT imagery satellites 2, 4, and 5 for Brazil circa 2008. Where a corresponding high-resolution panchromatic image was available, it was fused with multispectral data to achieve enhanced spatial detail (up to 5m for SPOT 5 or 10m ... | | [brazil](https://developers.google.com/earth-engine/datasets/tags/brazil.md.txt) [forest-code](https://developers.google.com/earth-engine/datasets/tags/forest-code.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [spot](https://developers.google.com/earth-engine/datasets/tags/spot.md.txt) | - |---| | [### SRTM Digital Elevation Data Version 4 ![](https://developers.google.com/earth-engine/datasets/images/CGIAR/CGIAR_SRTM90_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CGIAR_SRTM90_V4.md.txt) | | The Shuttle Radar Topography Mission (SRTM) digital elevation dataset was originally produced to provide consistent, high-quality elevation data at near global scope. This version of the SRTM digital elevation data has been processed to fill data voids, and to facilitate its ease of use. | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### SWISSIMAGE 10 cm RGB imagery ![](https://developers.google.com/earth-engine/datasets/images/Switzerland/Switzerland_SWISSIMAGE_orthos_10cm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Switzerland_SWISSIMAGE_orthos_10cm.md.txt) | | The SWISSIMAGE 10 cm orthophoto mosaic is an assembly of new color digital aerial images over the whole of Switzerland with a ground resolution of 10 cm in the plains and the main alpine valleys and 25 cm in the Alps. It is updated annually. ... | | [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) | - |---| | [### Satellite Embedding V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL.md.txt) | | The Google Satellite Embedding dataset is a global, analysis-ready collection of learned geospatial embeddings. Each 10-meter pixel in this dataset is a 64-dimensional representation, or "embedding vector," that encodes temporal trajectories of surface conditions at and around that pixel as measured by various Earth observation ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) | - |---| | [### Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected, log scaling ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S1_GRD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD.md.txt) | | The Sentinel-1 mission provides data from a dual-polarization C-band Synthetic Aperture Radar (SAR) instrument at 5.405GHz (C band). This collection includes the S1 Ground Range Detected (GRD) scenes, processed using the Sentinel-1 Toolbox to generate a calibrated, ortho-corrected product. The collection is updated daily. New ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Sentinel-2: Cloud Probability ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S2_CLOUD_PROBABILITY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_CLOUD_PROBABILITY.md.txt) | | The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting 0..1 floating point probability is scaled to 0..100 and stored as an UINT8. ... | | [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [msi](https://developers.google.com/earth-engine/datasets/tags/msi.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) | - |---| | [### Sentinel-3 OLCI EFR: Ocean and Land Color Instrument Earth Observation Full Resolution ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S3_OLCI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S3_OLCI.md.txt) | | The Ocean and Land Color Instrument (OLCI) Earth Observation Full Resolution (EFR) dataset contains top of atmosphere radiances at 21 spectral bands with center wavelengths ranging between 0.4µm and 1.02µm at spatial resolution of 300m with worldwide coverage every \~2 days. OLCI is one of ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel](https://developers.google.com/earth-engine/datasets/tags/sentinel.md.txt) | - |---| | [### Sentinel-5P NRTI AER AI: Near Real-Time UV Aerosol Index ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_AI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_AI.md.txt) | | NRTI/L3_AER_AI This dataset provides near real-time high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI). The AAI is based on wavelength-dependent changes in Rayleigh scattering in the UV spectral range for a pair of wavelengths. The difference between observed ... | | [aai](https://developers.google.com/earth-engine/datasets/tags/aai.md.txt) [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Sentinel-5P NRTI AER LH: Near Real-Time UV Aerosol Layer Height ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_LH_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_LH.md.txt) | | NRTI/L3_AER_LH This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH). The ALH is very sensitive to cloud contamination. However, aerosols and clouds can be difficult to distinguish, and ALH is computed for all FRESCO effective ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [alh](https://developers.google.com/earth-engine/datasets/tags/alh.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Sentinel-5P NRTI CLOUD: Near Real-Time Cloud Properties ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CLOUD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CLOUD.md.txt) | | NRTI/L3_CLOUD This dataset provides near real-time high-resolution imagery of cloud parameters. The TROPOMI/S5P cloud properties retrieval is based on the OCRA and ROCINN algorithms currently being used in the operational GOME and GOME-2 products. OCRA retrieves the cloud fraction using measurements in the UV/VIS spectral ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dlr](https://developers.google.com/earth-engine/datasets/tags/dlr.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) | - |---| | [### Sentinel-5P NRTI CO: Near Real-Time Carbon Monoxide ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CO.md.txt) | | NRTI/L3_CO This dataset provides near real-time high-resolution imagery of CO concentrations. Carbon monoxide (CO) is an important atmospheric trace gas for understanding tropospheric chemistry. In certain urban areas, it is a major atmospheric pollutant. Main sources of CO are combustion of fossil fuels, biomass burning, ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [carbon-monoxide](https://developers.google.com/earth-engine/datasets/tags/carbon-monoxide.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) | - |---| | [### Sentinel-5P NRTI HCHO: Near Real-Time Formaldehyde ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_HCHO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_HCHO.md.txt) | | NRTI/L3_HCHO This dataset provides near real-time high-resolution imagery of atmospheric formaldehyde (HCHO) concentrations. Formaldehyde is an intermediate gas in almost all oxidation chains of non-methane volatile organic compounds (NMVOC), leading eventually to CO2. Non-Methane Volatile Organic Compounds (NMVOCs) are, together with NOx, CO and CH4, ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [bira](https://developers.google.com/earth-engine/datasets/tags/bira.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dlr](https://developers.google.com/earth-engine/datasets/tags/dlr.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Sentinel-5P NRTI NO2: Near Real-Time Nitrogen Dioxide ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_NO2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_NO2.md.txt) | | NRTI/L3_NO2 This dataset provides near real-time high-resolution imagery of NO2 concentrations. Nitrogen oxides (NO2 and NO) are important trace gases in the Earth's atmosphere, present in both the troposphere and the stratosphere. They enter the atmosphere as a result of anthropogenic activities (notably fossil fuel ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [knmi](https://developers.google.com/earth-engine/datasets/tags/knmi.md.txt) | - |---| | [### Sentinel-5P NRTI O3: Near Real-Time Ozone ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_O3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_O3.md.txt) | | NRTI/L3_O3 This dataset provides near-real-time high-resolution imagery of total column ozone concentrations. See also COPERNICUS/S5P/OFFL/L3_O3_TCL for the tropospheric column data. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient cleansing agent, but ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [o3](https://developers.google.com/earth-engine/datasets/tags/o3.md.txt) | - |---| | [### Sentinel-5P NRTI SO2: Near Real-Time Sulfur Dioxide ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_NRTI_L3_SO2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_SO2.md.txt) | | NRTI/L3_SO2 This dataset provides near real-time high-resolution imagery of atmospheric sulfur dioxide (SO2) concentrations. Sulfur dioxide (SO2) enters the Earth's atmosphere through both natural and anthropogenic processes. It plays a role in chemistry on a local and global scale and its impact ranges from short-term ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [bira](https://developers.google.com/earth-engine/datasets/tags/bira.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dlr](https://developers.google.com/earth-engine/datasets/tags/dlr.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Sentinel-5P OFFL AER AI: Offline UV Aerosol Index ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_AI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_AI.md.txt) | | OFFL/L3_AER_AI This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI). The AAI is based on wavelength-dependent changes in Rayleigh scattering in the UV spectral range for a pair of wavelengths. The difference between observed and ... | | [aai](https://developers.google.com/earth-engine/datasets/tags/aai.md.txt) [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Sentinel-5P OFFL AER LH: Offline UV Aerosol Layer Height ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_LH_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_LH.md.txt) | | OFFL/L3_AER_LH This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH). The ALH is very sensitive to cloud contamination. However, aerosols and clouds can be difficult to distinguish, and ALH is computed for all FRESCO effective ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [alh](https://developers.google.com/earth-engine/datasets/tags/alh.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Sentinel-5P OFFL CH4: Offline Methane ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CH4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CH4.md.txt) | | OFFL/L3_CH4 This dataset provides offline high-resolution imagery of methane concentrations. Methane (CH4) is, after carbon dioxide (CO2), the most important contributor to the anthropogenically enhanced greenhouse effect. Roughly three-quarters of methane emissions are anthropogenic and as such, it is important to continue the record of ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [knmi](https://developers.google.com/earth-engine/datasets/tags/knmi.md.txt) | - |---| | [### Sentinel-5P OFFL CLOUD: Offline Cloud Properties ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CLOUD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CLOUD.md.txt) | | OFFL/L3_CLOUD This dataset provides offline high-resolution imagery of cloud parameters. The TROPOMI/S5P cloud properties retrieval is based on the OCRA and ROCINN algorithms currently being used in the operational GOME and GOME-2 products. OCRA retrieves the cloud fraction using measurements in the UV/VIS spectral regions ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dlr](https://developers.google.com/earth-engine/datasets/tags/dlr.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) | - |---| | [### Sentinel-5P OFFL CO: Offline Carbon Monoxide ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CO.md.txt) | | OFFL/L3_CO This dataset provides offline high-resolution imagery of CO concentrations. Carbon monoxide (CO) is an important atmospheric trace gas for understanding tropospheric chemistry. In certain urban areas, it is a major atmospheric pollutant. Main sources of CO are combustion of fossil fuels, biomass burning, and ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [carbon-monoxide](https://developers.google.com/earth-engine/datasets/tags/carbon-monoxide.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) | - |---| | [### Sentinel-5P OFFL HCHO: Offline Formaldehyde ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_HCHO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_HCHO.md.txt) | | OFFL/L3_HCHO This dataset provides offline high-resolution imagery of atmospheric formaldehyde (HCHO) concentrations. Formaldehyde is an intermediate gas in almost all oxidation chains of non-methane volatile organic compounds (NMVOC), leading eventually to CO2. Non-Methane Volatile Organic Compounds (NMVOCs) are, together with NOx, CO and CH4, among ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [bira](https://developers.google.com/earth-engine/datasets/tags/bira.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dlr](https://developers.google.com/earth-engine/datasets/tags/dlr.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Sentinel-5P OFFL NO2: Offline Nitrogen Dioxide ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_NO2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_NO2.md.txt) | | OFFL/L3_NO2 This dataset provides offline high-resolution imagery of NO2 concentrations. Nitrogen oxides (NO2 and NO) are important trace gases in the Earth's atmosphere, present in both the troposphere and the stratosphere. They enter the atmosphere as a result of anthropogenic activities (notably fossil fuel combustion ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [knmi](https://developers.google.com/earth-engine/datasets/tags/knmi.md.txt) | - |---| | [### Sentinel-5P OFFL O3 TCL: Offline Tropospheric Ozone ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3_TCL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3_TCL.md.txt) | | OFFL/L3_O3_TCL This dataset provides offline tropospheric high-resolution imagery of ozone concentrations between 20N and 20S. See also COPERNICUS/S5P/OFFL/L3_O3 and COPERNICUS/S5P/NRTI/L3_O3 for the total column data. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [o3](https://developers.google.com/earth-engine/datasets/tags/o3.md.txt) | - |---| | [### Sentinel-5P OFFL O3: Offline Ozone ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3.md.txt) | | OFFL/L3_O3 This dataset provides offline high-resolution imagery of total column ozone concentrations. See also COPERNICUS/S5P/OFFL/L3_O3_TCL for the tropospheric column data. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient cleansing agent, but ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [o3](https://developers.google.com/earth-engine/datasets/tags/o3.md.txt) | - |---| | [### Sentinel-5P OFFL SO2: Offline Sulfur Dioxide ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_SO2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_SO2.md.txt) | | OFFL/L3_SO2 This dataset provides offline high-resolution imagery of atmospheric sulfur dioxide (SO2) concentrations. Sulfur dioxide (SO2) enters the Earth's atmosphere through both natural and anthropogenic processes. It plays a role in chemistry on a local and global scale and its impact ranges from short-term pollution ... | | [air-quality](https://developers.google.com/earth-engine/datasets/tags/air-quality.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [bira](https://developers.google.com/earth-engine/datasets/tags/bira.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dlr](https://developers.google.com/earth-engine/datasets/tags/dlr.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) | - |---| | [### Slovakia orthophotos ![](https://developers.google.com/earth-engine/datasets/images/Slovakia/Slovakia_orthos_25cm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Slovakia_orthos_25cm.md.txt) | | Orthophotomosaic of the Slovak Republic is a set of color orthoimages without overlaps, gaps and visible brightness and color differences along the connecting lines. For more information, please see the Slovakia orthophotos documentation | | [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) | - |---| | [### SoilGrids250m 2.0 - Volumetric Water Content ![](https://developers.google.com/earth-engine/datasets/images/ISRIC/ISRIC_SoilGrids250m_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISRIC_SoilGrids250m_v2_0.md.txt) | | Volumetric Water Content at 10kPa, 33kPa, and 1500kPa suction in 10\^-3 cm\^3/cm\^3 (0.1 v% or 1 mm/m) at 6 standard depths (0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm, 100-200cm). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global ... | | [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### Spain RGB orthophotos 10 cm ![](https://developers.google.com/earth-engine/datasets/images/Spain/Spain_PNOA_PNOA10_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Spain_PNOA_PNOA10.md.txt) | | Mosaics of orthophotos from flights carried out between 2007 and 2018 by various public administration bodies at 10cm pixel resolution. This data is provided by National Plan for Aerial Orthophotography Spain (PNOA). For more information, please see the Spain orthophotos documentation | | [orthophotos](https://developers.google.com/earth-engine/datasets/tags/orthophotos.md.txt) [rgb](https://developers.google.com/earth-engine/datasets/tags/rgb.md.txt) | - |---| | [### Species Distribution, Australia Mammals ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_species_distribution_models_australia_mammals_v0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_species_distribution_models_australia_mammals_v0.md.txt) | | These species distribution model outputs, developed by Google in collaboration with QCIF and EcoCommons, represent estimates of species' relative occurrence likelihoods (i.e., higher values indicate a higher likelihood that the species would be detected at a location, for a given survey methodology and given survey ... | | [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [nature-trace](https://developers.google.com/earth-engine/datasets/tags/nature-trace.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCB_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCB_v061_1km_8-Daily.md.txt) | | This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcb](https://developers.google.com/earth-engine/datasets/tags/tcb.md.txt) | - |---| | [### TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCB_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCB_v061_1km_Annual.md.txt) | | This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcb](https://developers.google.com/earth-engine/datasets/tags/tcb.md.txt) | - |---| | [### TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCB_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCB_v061_1km_Monthly.md.txt) | | This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcb](https://developers.google.com/earth-engine/datasets/tags/tcb.md.txt) | - |---| | [### TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCW_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCW_v061_1km_8-Daily.md.txt) | | This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcw](https://developers.google.com/earth-engine/datasets/tags/tcw.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCW_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCW_v061_1km_Annual.md.txt) | | This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcw](https://developers.google.com/earth-engine/datasets/tags/tcw.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCW_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCW_v061_1km_Monthly.md.txt) | | This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcw](https://developers.google.com/earth-engine/datasets/tags/tcw.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### TIGER: 2020 Tabulation (Census) Block ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2020_TABBLOCK20_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_TABBLOCK20.md.txt) | | The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2020 census blocks, roughly equivalent to a city block. There are just over eight million polygon features covering the United States, the District of Columbia, Puerto Rico, and the Island ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [city](https://developers.google.com/earth-engine/datasets/tags/city.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [neighborhood](https://developers.google.com/earth-engine/datasets/tags/neighborhood.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) | - |---| | [### TIGER: US Census Block Groups (BG) 2010 ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2010_BG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2010_BG.md.txt) | | The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2010 census block groups, which is a cluster of blocks within the same census tract that have the same first digit of their four-digit census block number. There are just ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [city](https://developers.google.com/earth-engine/datasets/tags/city.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [neighborhood](https://developers.google.com/earth-engine/datasets/tags/neighborhood.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) | - |---| | [### TIGER: US Census Block Groups (BG) 2020 ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2020_BG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_BG.md.txt) | | The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2020 census block groups, which is a cluster of blocks within the same census tract that have the same first digit of their four-digit census block number. There are just ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [city](https://developers.google.com/earth-engine/datasets/tags/city.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [neighborhood](https://developers.google.com/earth-engine/datasets/tags/neighborhood.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) | - |---| | [### TIGER: US Census Blocks ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2010_Blocks_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2010_Blocks.md.txt) | | The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2010 census blocks, roughly equivalent to a city block. There are just over 11 million polygon features covering the United States, the District of Columbia, Puerto Rico, and the Island ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [city](https://developers.google.com/earth-engine/datasets/tags/city.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [neighborhood](https://developers.google.com/earth-engine/datasets/tags/neighborhood.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) | - |---| | [### TIGER: US Census Counties 2016 ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2016_Counties_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2016_Counties.md.txt) | | The United States Census Bureau TIGER dataset contains the 2016 boundaries for primary legal divisions of US states. In most states, these entities are termed "counties". In Louisiana, these divisions are known as "parishes". Alaska has governmental entities called "boroughs" which fill a similar governmental ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [county](https://developers.google.com/earth-engine/datasets/tags/county.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) [us](https://developers.google.com/earth-engine/datasets/tags/us.md.txt) | - |---| | [### TIGER: US Census Counties 2018 ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2018_Counties_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2018_Counties.md.txt) | | The United States Census Bureau TIGER dataset contains the 2018 boundaries for primary legal divisions of US states. In most states, these entities are termed "counties". In Louisiana, these divisions are known as "parishes". Alaska has governmental entities called "boroughs" which fill a similar governmental ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [county](https://developers.google.com/earth-engine/datasets/tags/county.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) [us](https://developers.google.com/earth-engine/datasets/tags/us.md.txt) | - |---| | [### TIGER: US Census Roads ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2016_Roads_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2016_Roads.md.txt) | | This United States Census Bureau TIGER dataset contains all road segments from the 2016 release, containing more than 19 million individual line features covering the United States, the District of Columbia, Puerto Rico, and the Island Areas. Each feature represents a road segment geometry (a ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [roads](https://developers.google.com/earth-engine/datasets/tags/roads.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) [us](https://developers.google.com/earth-engine/datasets/tags/us.md.txt) | - |---| | [### TIGER: US Census States 2016 ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2016_States_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2016_States.md.txt) | | The United States Census Bureau TIGER dataset contains the 2016 boundaries for the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the island areas (American Samoa, the ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [state](https://developers.google.com/earth-engine/datasets/tags/state.md.txt) [states](https://developers.google.com/earth-engine/datasets/tags/states.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) | - |---| | [### TIGER: US Census States 2018 ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2018_States_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2018_States.md.txt) | | The United States Census Bureau TIGER dataset contains the 2018 boundaries for the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the island areas (American Samoa, the ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [state](https://developers.google.com/earth-engine/datasets/tags/state.md.txt) [states](https://developers.google.com/earth-engine/datasets/tags/states.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) | - |---| | [### TIGER: US Census Tracts ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2020_TRACT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_TRACT.md.txt) | | The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2020 census tracts. Tract areas vary tremendously, but in urban areas are roughly equivalent to a neighborhood. There are just over 85000 polygon features covering the United States, the District ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [city](https://developers.google.com/earth-engine/datasets/tags/city.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [neighborhood](https://developers.google.com/earth-engine/datasets/tags/neighborhood.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) | - |---| | [### TIGER: US Census Tracts Demographic - Profile 1 ![](https://developers.google.com/earth-engine/datasets/images/TIGER/TIGER_2010_Tracts_DP1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TIGER_2010_Tracts_DP1.md.txt) | | The United States Census Bureau regularly releases a geodatabase named TIGER. This table contains the 2010 census Demographic Profile 1 values aggregated by census tract. Tract areas vary tremendously, but in urban areas are roughly equivalent to a neighborhood. There are about 74,000 polygon features ... | | [census](https://developers.google.com/earth-engine/datasets/tags/census.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [tiger](https://developers.google.com/earth-engine/datasets/tags/tiger.md.txt) [us](https://developers.google.com/earth-engine/datasets/tags/us.md.txt) | - |---| | [### TNC Global Human Modification v3 (Change-Consistent 300m) ![](https://developers.google.com/earth-engine/datasets/images/TNC/TNC_HM_v3_300m_c_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TNC_HM_v3_300m_c.md.txt) | | The Global Human Modification v3 dataset measures cumulative human pressures on global terrestrial ecosystems (excluding Antarctica). It tracks data from 1990 to 2022 and is intended to help quantify human impact for conservation planning, policy-making, and research. This dataset is the "Change-Consistent" Series ("c" series) ... | | [fragmentation](https://developers.google.com/earth-engine/datasets/tags/fragmentation.md.txt) [human-modification](https://developers.google.com/earth-engine/datasets/tags/human-modification.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landscape-gradient](https://developers.google.com/earth-engine/datasets/tags/landscape-gradient.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [stressors](https://developers.google.com/earth-engine/datasets/tags/stressors.md.txt) | - |---| | [### TNC Global Human Modification v3 (Static Snapshot 90m) ![](https://developers.google.com/earth-engine/datasets/images/TNC/TNC_HM_v3_90m_s_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TNC_HM_v3_90m_s.md.txt) | | The Global Human Modification v3 dataset measures cumulative human pressures on global terrestrial ecosystems (excluding Antarctica). It tracks data from 1990 to 2022 and is intended to help quantify human impact for conservation planning, policy-making, and research. This is the 2022 static snapshot ("s" series) ... | | [fragmentation](https://developers.google.com/earth-engine/datasets/tags/fragmentation.md.txt) [human-modification](https://developers.google.com/earth-engine/datasets/tags/human-modification.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landscape-gradient](https://developers.google.com/earth-engine/datasets/tags/landscape-gradient.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [stressors](https://developers.google.com/earth-engine/datasets/tags/stressors.md.txt) | - |---| | [### TOMS and OMI Merged Ozone Data v4 ![](https://developers.google.com/earth-engine/datasets/images/TOMS/TOMS_MERGED_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TOMS_MERGED_V4.md.txt) | | The Total Ozone Mapping Spectrometer (TOMS) data represent the primary long-term, continuous record of satellite-based observations available for use in monitoring global and regional trends in total ozone over the past 25 years. The data are produced by the Laboratory for Atmospheres at NASA's Goddard ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ozone](https://developers.google.com/earth-engine/datasets/tags/ozone.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### TRMM 3B42: 3-Hourly Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/TRMM/TRMM_3B42_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B42.md.txt) | | The Tropical Rainfall Measuring Mission (TRMM) is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall. The 34B2 product contains a gridded, TRMM-adjusted, merged infrared precipitation (mm/hr) and RMS precipitation-error estimate, with a 3-hour temporal ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### TRMM 3B43: Monthly Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/TRMM/TRMM_3B43V7_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B43V7.md.txt) | | This collection is no longer being updated. See IMERG monthly This dataset algorithmically merges microwave data from multiple satellites, including SSMI, SSMIS, MHS, AMSU-B and AMSR-E, each inter-calibrated to the TRMM Combined Instrument. Algorithm 3B43 is executed once per calendar month to produce the single, ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [rainfall](https://developers.google.com/earth-engine/datasets/tags/rainfall.md.txt) | - |---| | [### TUBerlin/BigEarthNet/v1 ![](https://developers.google.com/earth-engine/datasets/images/TUBerlin/TUBerlin_BigEarthNet_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TUBerlin_BigEarthNet_v1.md.txt) | | BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles were acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe. All ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [ml](https://developers.google.com/earth-engine/datasets/tags/ml.md.txt) [sentinel](https://developers.google.com/earth-engine/datasets/tags/sentinel.md.txt) | - |---| | [### Tallo: A Global Tree Allometry and Crown Architecture Database V1 ![](https://developers.google.com/earth-engine/datasets/images/TALLO/TALLO_TALLO_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TALLO_TALLO_V1.md.txt) | | The Tallo database is a global collection of 498,838 georeferenced and taxonomically standardized individual-tree records compiled across 61,856 sampling sites globally. Spanning 5,163 tree species, 1,453 genera, and 187 plant families, Tallo provides individual-tree measurements of stem diameter (DBH), total tree height, and mean crown ... | | [bigquery](https://developers.google.com/earth-engine/datasets/tags/bigquery.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) | - |---| | [### TerraClimate: Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces, University of Idaho ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_TERRACLIMATE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_TERRACLIMATE.md.txt) | | TerraClimate is a dataset of monthly climate and climatic water balance for global terrestrial surfaces. It uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser spatial resolution, but time-varying data from CRU Ts4.0 and the Japanese 55-year Reanalysis (JRA55). ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [merced](https://developers.google.com/earth-engine/datasets/tags/merced.md.txt) | - |---| | [### The Climate Hazards Center (CHC) Coupled Model Intercomparison Project Phase 6 (CHC-CMIP6) ![](https://developers.google.com/earth-engine/datasets/images/UCSB/UCSB_CHC_CMIP6_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB_CHC_CMIP6_v1.md.txt) | | CHC-CMIP6 was explicitly developed to support the analysis of climate-related hazards over the recent past and in the near-future. This climate projection dataset contains global, daily gridded data for the observational (1983-2016) and projection (2030 and 2050) periods to be used in the identification and ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### Tree proximate people (TPP) 1.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_SOFO_1_TPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_SOFO_1_TPP.md.txt) | | The "Tree Proximate People" (TPP) is one of the datasets contributing to the development of indicator #13, number of forest-dependent people in extreme poverty, of the Collaborative Partnership on Forests (CPF) Global Core Set of forest-related indicators (GCS). The TPP dataset provides 4 different estimates ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### Tsinghua FROM-GLC Year of Change to Impervious Surface ![](https://developers.google.com/earth-engine/datasets/images/Tsinghua/Tsinghua_FROM-GLC_GAIA_v10_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Tsinghua_FROM-GLC_GAIA_v10.md.txt) | | This dataset contains annual change information of global impervious surface area from 1985 to 2018 at a 30m resolution. Change from pervious to impervious was determined using a combined approach of supervised classification and temporal consistency checking. Impervious pixels are defined as above 50% impervious. ... | | [built](https://developers.google.com/earth-engine/datasets/tags/built.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [tsinghua](https://developers.google.com/earth-engine/datasets/tags/tsinghua.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) | - |---| | [### UN FAO Drained Organic Soils Area (Annual) 1.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GHG_1_DROSA_A_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GHG_1_DROSA_A.md.txt) | | The two related FAO datasets on Drained Organic Soils provide estimates of: DROSA-A: area of Organic Soils (in hectares) drained for agricultural activities (cropland and grazed grassland) DROSE-A: carbon (C) and nitrous oxide (N2O) estimates (in gigagrams) from the agricultural drainage of organic soils under ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### US EPA Ecoregions (Level III) ![](https://developers.google.com/earth-engine/datasets/images/EPA/EPA_Ecoregions_2013_L3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EPA_Ecoregions_2013_L3.md.txt) | | The U.S. Environmental Protection Agency (USEPA) provides the Ecoregions dataset to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental ... | | [ecoregions](https://developers.google.com/earth-engine/datasets/tags/ecoregions.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [epa](https://developers.google.com/earth-engine/datasets/tags/epa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### US EPA Ecoregions (Level IV) ![](https://developers.google.com/earth-engine/datasets/images/EPA/EPA_Ecoregions_2013_L4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EPA_Ecoregions_2013_L4.md.txt) | | The U.S. Environmental Protection Agency (USEPA) provides the Ecoregions dataset to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental ... | | [ecoregions](https://developers.google.com/earth-engine/datasets/tags/ecoregions.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [epa](https://developers.google.com/earth-engine/datasets/tags/epa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### US Lithology ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_lithology_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_lithology.md.txt) | | The Lithology dataset provides classes of the general types of parent material of soil on the surface. It is not derived from any DEM. The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale data on landforms and physiographic ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### US NED CHILI (Continuous Heat-Insolation Load Index) ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_CHILI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_CHILI.md.txt) | | CHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. It is based on the USGS's 10m NED DEM (available in EE as USGS/NED). The Conservation Science Partners (CSP) Ecologically ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### US NED Landforms ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_landforms_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_landforms.md.txt) | | The ALOS Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (CHILI) and the multi-scale Topographic Position Index (mTPI) datasets. It is based on the USGS's 10m NED DEM (available in EE as USGS/NED). The Conservation Science Partners (CSP) Ecologically Relevant ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### US NED Physiographic Diversity ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_physioDiversity_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_physioDiversity.md.txt) | | The Physiographic Diversity dataset provides an index of the diversity of physiographic types. It was calculated using the Shannon diversity index at multiple scales (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the USGS's 10m NED DEM (available in EE ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### US NED Topographic Diversity ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_topoDiversity_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_topoDiversity.md.txt) | | Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### US NED mTPI (Multi-Scale Topographic Position Index) ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_mTPI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_mTPI.md.txt) | | The mTPI distinguishes ridge from valley forms. It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the USGS's ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### US Physiography ![](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_physiography_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_physiography.md.txt) | | The Physiography dataset represents the spatial intersection of landforms (available in EE as ERGo/1_0/US/landforms) and lithology (available in EE as ERGo/1_0/US/lithology) data layers. It provides 247 unique combinations out of a possible 270. The values for each type are formed by concatenating the landform and ... | | [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect.md.txt) [csp](https://developers.google.com/earth-engine/datasets/tags/csp.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### USDA NASS Cropland Data Layers ![](https://developers.google.com/earth-engine/datasets/images/USDA/USDA_NASS_CDL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USDA_NASS_CDL.md.txt) | | The Cropland Data Layer (CDL) is a crop-specific land cover data layer created annually for the continental United States using moderate resolution satellite imagery and extensive agricultural ground truth. The CDL is created by the USDA, National Agricultural Statistics Service (NASS), Research and Development Division, ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### USFS Landscape Change Monitoring System v2025-11 (CONUS and OCONUS) ![](https://developers.google.com/earth-engine/datasets/images/gtac-data-publish/projects_gtac-data-publish_assets_LCMS_Product_Version_2025-11_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gtac-data-publish_assets_LCMS_Product_Version_2025-11.md.txt) | | This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year and covers the Conterminous United States (CONUS) as well as areas outside the CONUS (OCONUS) including Alaska (AK), Puerto ... | | [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [fsic-go](https://developers.google.com/earth-engine/datasets/tags/fsic-go.md.txt) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac.md.txt) [gtac-data-publish](https://developers.google.com/earth-engine/datasets/tags/gtac-data-publish.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) | - |---| | [### USFS Tree Canopy Cover v2025-6 (CONUS and OCONUS) ![](https://developers.google.com/earth-engine/datasets/images/gtac-data-publish/projects_gtac-data-publish_assets_TCC_Product_Version_2025-6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gtac-data-publish_assets_TCC_Product_Version_2025-6.md.txt) | | The Tree Canopy Cover (TCC) data suite, produced by the United States Department of Agriculture, Forest Service (USFS), are annual remote sensing-based map outputs spanning from 1985-2025. These data support the National Land Cover Database (NLCD) project, which is managed by the US Geological Survey ... | | [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [fsic-go](https://developers.google.com/earth-engine/datasets/tags/fsic-go.md.txt) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac.md.txt) [gtac-data-publish](https://developers.google.com/earth-engine/datasets/tags/gtac-data-publish.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### USFS TreeMap 2023-1 ![](https://developers.google.com/earth-engine/datasets/images/gtac-data-publish/projects_gtac-data-publish_assets_TreeMap_Product_Version_2023-1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gtac-data-publish_assets_TreeMap_Product_Version_2023-1.md.txt) | | TreeMap datasets provide detailed spatial information on forest characteristics across the entire forested extent of the Conterminous United States (CONUS) for the years 2016, 2020, 2022, and 2023. TreeMap 2014 is also available for CONUS but not included in this data archive. TreeMap 2024 is ... | | [aboveground](https://developers.google.com/earth-engine/datasets/tags/aboveground.md.txt) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) | - |---| | [### USGS 3DEP 10m National Map Seamless (1/3 Arc-Second) ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_3DEP_10m_collection_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_3DEP_10m_collection.md.txt) | | This is the seamless 3DEP DEM dataset for the U.S. with full coverage of the 48 conterminous states, Hawaii, and U.S. territories. Alaska coverage is partially available now and is being expanded to statewide coverage as part of the Alaska Mapping Initiative. Ground spacing is ... | | [3dep](https://developers.google.com/earth-engine/datasets/tags/3dep.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### USGS 3DEP 1m National Map ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_3DEP_1m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_3DEP_1m.md.txt) | | This is a tiled collection of images with 1m pixel size from the 3D Elevation Program (3DEP). The 3DEP data holdings serve as the elevation layer of The National Map and provide foundational elevation information for earth science studies and mapping applications in the United ... | | [3dep](https://developers.google.com/earth-engine/datasets/tags/3dep.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### USGS 3DEP National Map Spatial Metadata 1/3 Arc-Second (10m) ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_3DEP_10m_metadata_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_3DEP_10m_metadata.md.txt) | | This is a table with metadata for the 3DEP 10m DEM asset. The Work unit Extent Spatial Metadata (WESM) contains current lidar data availability and basic information about lidar projects, including lidar quality level, data acquisition dates, and links to project-level metadata. See more details ... | | [3dep](https://developers.google.com/earth-engine/datasets/tags/3dep.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS GAP Alaska 2001 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_AK_2001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_AK_2001.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USGS GAP CONUS 2011 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_CONUS_2011_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_CONUS_2011.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USGS GAP Hawaii 2001 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_HI_2001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_HI_2001.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USGS GAP Puerto Rico 2001 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_PR_2001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_PR_2001.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USGS Landsat 1 MSS Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM01_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM01_C02_T1.md.txt) | | Landsat 1 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l1](https://developers.google.com/earth-engine/datasets/tags/l1.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm1](https://developers.google.com/earth-engine/datasets/tags/lm1.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 1 MSS Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM01_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM01_C02_T2.md.txt) | | Landsat 1 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l1](https://developers.google.com/earth-engine/datasets/tags/l1.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm1](https://developers.google.com/earth-engine/datasets/tags/lm1.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 2 MSS Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM02_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM02_C02_T1.md.txt) | | Landsat 2 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l2](https://developers.google.com/earth-engine/datasets/tags/l2.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm2](https://developers.google.com/earth-engine/datasets/tags/lm2.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 2 MSS Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM02_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM02_C02_T2.md.txt) | | Landsat 2 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l2](https://developers.google.com/earth-engine/datasets/tags/l2.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm2](https://developers.google.com/earth-engine/datasets/tags/lm2.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 3 MSS Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM03_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM03_C02_T1.md.txt) | | Landsat 3 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l3](https://developers.google.com/earth-engine/datasets/tags/l3.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm3](https://developers.google.com/earth-engine/datasets/tags/lm3.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 3 MSS Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM03_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM03_C02_T2.md.txt) | | Landsat 3 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l3](https://developers.google.com/earth-engine/datasets/tags/l3.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm3](https://developers.google.com/earth-engine/datasets/tags/lm3.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 4 Level 2, Collection 2, Tier 1 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT04_C02_T1_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT04_C02_T1_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lasrc](https://developers.google.com/earth-engine/datasets/tags/lasrc.md.txt) | - |---| | [### USGS Landsat 4 Level 2, Collection 2, Tier 2 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT04_C02_T2_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT04_C02_T2_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lasrc](https://developers.google.com/earth-engine/datasets/tags/lasrc.md.txt) | - |---| | [### USGS Landsat 4 MSS Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM04_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM04_C02_T1.md.txt) | | Landsat 4 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l4](https://developers.google.com/earth-engine/datasets/tags/l4.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm4](https://developers.google.com/earth-engine/datasets/tags/lm4.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 4 MSS Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM04_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM04_C02_T2.md.txt) | | Landsat 4 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l4](https://developers.google.com/earth-engine/datasets/tags/l4.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm4](https://developers.google.com/earth-engine/datasets/tags/lm4.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 4 TM Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT04_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT04_C02_T1.md.txt) | | Landsat 4 TM Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l4](https://developers.google.com/earth-engine/datasets/tags/l4.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lt4](https://developers.google.com/earth-engine/datasets/tags/lt4.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) | - |---| | [### USGS Landsat 4 TM Collection 2 Tier 1 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT04_C02_T1_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT04_C02_T1_TOA.md.txt) | | Landsat 4 TM Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 4 TM Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT04_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT04_C02_T2.md.txt) | | Landsat 4 TM Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l4](https://developers.google.com/earth-engine/datasets/tags/l4.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lt4](https://developers.google.com/earth-engine/datasets/tags/lt4.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) | - |---| | [### USGS Landsat 4 TM Collection 2 Tier 2 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT04_C02_T2_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT04_C02_T2_TOA.md.txt) | | Landsat 4 TM Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 5 Level 2, Collection 2, Tier 1 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT05_C02_T1_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT05_C02_T1_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lasrc](https://developers.google.com/earth-engine/datasets/tags/lasrc.md.txt) | - |---| | [### USGS Landsat 5 Level 2, Collection 2, Tier 2 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT05_C02_T2_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT05_C02_T2_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lasrc](https://developers.google.com/earth-engine/datasets/tags/lasrc.md.txt) | - |---| | [### USGS Landsat 5 MSS Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM05_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM05_C02_T1.md.txt) | | Landsat 5 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l5](https://developers.google.com/earth-engine/datasets/tags/l5.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm5](https://developers.google.com/earth-engine/datasets/tags/lm5.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 5 MSS Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LM05_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LM05_C02_T2.md.txt) | | Landsat 5 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l5](https://developers.google.com/earth-engine/datasets/tags/l5.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lm5](https://developers.google.com/earth-engine/datasets/tags/lm5.md.txt) [mss](https://developers.google.com/earth-engine/datasets/tags/mss.md.txt) | - |---| | [### USGS Landsat 5 TM Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT05_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT05_C02_T1.md.txt) | | Landsat 5 TM Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l5](https://developers.google.com/earth-engine/datasets/tags/l5.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lt5](https://developers.google.com/earth-engine/datasets/tags/lt5.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) | - |---| | [### USGS Landsat 5 TM Collection 2 Tier 1 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT05_C02_T1_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT05_C02_T1_TOA.md.txt) | | Landsat 5 TM Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 5 TM Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT05_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT05_C02_T2.md.txt) | | Landsat 5 TM Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l5](https://developers.google.com/earth-engine/datasets/tags/l5.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lt5](https://developers.google.com/earth-engine/datasets/tags/lt5.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) | - |---| | [### USGS Landsat 5 TM Collection 2 Tier 2 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LT05_C02_T2_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LT05_C02_T2_TOA.md.txt) | | Landsat 5 TM Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 7 Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1.md.txt) | | Landsat 7 Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [etm](https://developers.google.com/earth-engine/datasets/tags/etm.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l7](https://developers.google.com/earth-engine/datasets/tags/l7.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [le7](https://developers.google.com/earth-engine/datasets/tags/le7.md.txt) | - |---| | [### USGS Landsat 7 Collection 2 Tier 1 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T1_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_TOA.md.txt) | | Landsat 7 Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time since 2017. | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 7 Collection 2 Tier 1 and Real-Time data Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T1_RT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_RT.md.txt) | | Landsat 7 Collection 2 Tier 1 and Real-Time data DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [etm](https://developers.google.com/earth-engine/datasets/tags/etm.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l7](https://developers.google.com/earth-engine/datasets/tags/l7.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [le7](https://developers.google.com/earth-engine/datasets/tags/le7.md.txt) | - |---| | [### USGS Landsat 7 Collection 2 Tier 1 and Real-Time data TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T1_RT_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_RT_TOA.md.txt) | | Landsat 7 Collection 2 Tier 1 and Real-Time data calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 7 Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T2.md.txt) | | Landsat 7 Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [etm](https://developers.google.com/earth-engine/datasets/tags/etm.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l7](https://developers.google.com/earth-engine/datasets/tags/l7.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [le7](https://developers.google.com/earth-engine/datasets/tags/le7.md.txt) | - |---| | [### USGS Landsat 7 Collection 2 Tier 2 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T2_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T2_TOA.md.txt) | | Landsat 7 Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time since 2017. | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 7 Level 2, Collection 2, Tier 1 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T1_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 7 ETM+ sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [etm](https://developers.google.com/earth-engine/datasets/tags/etm.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) | - |---| | [### USGS Landsat 7 Level 2, Collection 2, Tier 2 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LE07_C02_T2_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T2_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 7 ETM+ sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [etm](https://developers.google.com/earth-engine/datasets/tags/etm.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) | - |---| | [### USGS Landsat 8 Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1.md.txt) | | Landsat 8 Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l8](https://developers.google.com/earth-engine/datasets/tags/l8.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lc8](https://developers.google.com/earth-engine/datasets/tags/lc8.md.txt) [oli-tirs](https://developers.google.com/earth-engine/datasets/tags/oli-tirs.md.txt) | - |---| | [### USGS Landsat 8 Collection 2 Tier 1 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T1_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_TOA.md.txt) | | Landsat 8 Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 8 Collection 2 Tier 1 and Real-Time data Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T1_RT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT.md.txt) | | Landsat 8 Collection 2 Tier 1 and Real-Time data DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l8](https://developers.google.com/earth-engine/datasets/tags/l8.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lc8](https://developers.google.com/earth-engine/datasets/tags/lc8.md.txt) [nrt](https://developers.google.com/earth-engine/datasets/tags/nrt.md.txt) | - |---| | [### USGS Landsat 8 Collection 2 Tier 1 and Real-Time data TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T1_RT_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT_TOA.md.txt) | | Landsat 8 Collection 2 Tier 1 and Real-Time data calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Landsat scenes with the highest available data quality are placed into Tier 1 ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l8](https://developers.google.com/earth-engine/datasets/tags/l8.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lc8](https://developers.google.com/earth-engine/datasets/tags/lc8.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### USGS Landsat 8 Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2.md.txt) | | Landsat 8 Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l8](https://developers.google.com/earth-engine/datasets/tags/l8.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lc8](https://developers.google.com/earth-engine/datasets/tags/lc8.md.txt) [oli-tirs](https://developers.google.com/earth-engine/datasets/tags/oli-tirs.md.txt) | - |---| | [### USGS Landsat 8 Collection 2 Tier 2 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T2_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_TOA.md.txt) | | Landsat 8 Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 8 Level 2, Collection 2, Tier 1 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T1_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l8sr](https://developers.google.com/earth-engine/datasets/tags/l8sr.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) | - |---| | [### USGS Landsat 8 Level 2, Collection 2, Tier 2 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC08_C02_T2_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l8sr](https://developers.google.com/earth-engine/datasets/tags/l8sr.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) | - |---| | [### USGS Landsat 9 Collection 2 Tier 1 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC09_C02_T1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1.md.txt) | | Landsat 9 Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l9](https://developers.google.com/earth-engine/datasets/tags/l9.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lc9](https://developers.google.com/earth-engine/datasets/tags/lc9.md.txt) [oli-tirs](https://developers.google.com/earth-engine/datasets/tags/oli-tirs.md.txt) | - |---| | [### USGS Landsat 9 Collection 2 Tier 1 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC09_C02_T1_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_TOA.md.txt) | | Landsat 9 Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [toa](https://developers.google.com/earth-engine/datasets/tags/toa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### USGS Landsat 9 Collection 2 Tier 2 Raw Scenes ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC09_C02_T2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2.md.txt) | | Landsat 9 Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l9](https://developers.google.com/earth-engine/datasets/tags/l9.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lc9](https://developers.google.com/earth-engine/datasets/tags/lc9.md.txt) [oli-tirs](https://developers.google.com/earth-engine/datasets/tags/oli-tirs.md.txt) | - |---| | [### USGS Landsat 9 Collection 2 Tier 2 TOA Reflectance ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC09_C02_T2_TOA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_TOA.md.txt) | | Landsat 9 Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic ... | | [c2](https://developers.google.com/earth-engine/datasets/tags/c2.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l9](https://developers.google.com/earth-engine/datasets/tags/l9.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [lc9](https://developers.google.com/earth-engine/datasets/tags/lc9.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### USGS Landsat 9 Level 2, Collection 2, Tier 1 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC09_C02_T1_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 9 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l9sr](https://developers.google.com/earth-engine/datasets/tags/l9sr.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) | - |---| | [### USGS Landsat 9 Level 2, Collection 2, Tier 2 ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_LC09_C02_T2_L2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_L2.md.txt) | | This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 9 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal ... | | [cfmask](https://developers.google.com/earth-engine/datasets/tags/cfmask.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [fmask](https://developers.google.com/earth-engine/datasets/tags/fmask.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [l9sr](https://developers.google.com/earth-engine/datasets/tags/l9sr.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) | - |---| | [### United Nations Geospatial Data: BNDA_simplified ![](https://developers.google.com/earth-engine/datasets/images/UN/UN_Geodata_BNDA_simplified_current_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UN_Geodata_BNDA_simplified_current.md.txt) | | The United Nations Geospatial Data, or Geodata, is a worldwide geospatial dataset of the United Nations. The United Nations Geodata is provided to facilitate the preparation of cartographic materials in the United Nations includes geometry, attributes and labels to facilitate the adequate depiction and naming ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### United States Drought Monitor ![](https://developers.google.com/earth-engine/datasets/images/sat-io/projects_sat-io_open-datasets_us-drought-monitor_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_sat-io_open-datasets_us-drought-monitor.md.txt) | | The U.S. Drought Monitor is a map released every Thursday, showing parts of the U.S. that are in drought. The map uses five classifications: abnormally dry (D0), showing areas that may be going into or are coming out of drought, and four levels of drought: ... | | [community-dataset](https://developers.google.com/earth-engine/datasets/tags/community-dataset.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [sat-io](https://developers.google.com/earth-engine/datasets/tags/sat-io.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### VIIRS Aerosol Optical Depth and Aerosol Particle Size EDRs V3 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_AOD_EDR_V3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_AOD_EDR_V3.md.txt) | | The VIIRS Aerosol Optical Depth (AOD) and Aerosol Particle Size (APS) Environmental Data Records (EDRs) product provides aerosol properties retrieved from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor. The primary product is the AOD at 550 nm, with additional retrievals at other sensor channels ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aod](https://developers.google.com/earth-engine/datasets/tags/aod.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VIIRS Nighttime Day/Night Annual Band Composites V2.1 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_DNB_ANNUAL_V21_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V21.md.txt) | | Annual global VIIRS nighttime lights dataset is a time series produced from monthly cloud-free average radiance grids spanning 2013 to 2021. Data for 2022 are available in the NOAA/VIIRS/DNB/ANNUAL_V22 dataset. An initial filtering step removed sunlit, moonlit and cloudy pixels, leading to rough composites that ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb.md.txt) [eog](https://developers.google.com/earth-engine/datasets/tags/eog.md.txt) [lights](https://developers.google.com/earth-engine/datasets/tags/lights.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### VIIRS Nighttime Day/Night Annual Band Composites V2.2 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_DNB_ANNUAL_V22_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V22.md.txt) | | Annual global VIIRS nighttime lights dataset is a time series produced from monthly cloud-free average radiance grids for 2022. Data for earlier years are available in the NOAA/VIIRS/DNB/ANNUAL_V21 dataset. An initial filtering step removed sunlit, moonlit and cloudy pixels, leading to rough composites that contains ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb.md.txt) [eog](https://developers.google.com/earth-engine/datasets/tags/eog.md.txt) [lights](https://developers.google.com/earth-engine/datasets/tags/lights.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### VIIRS Nighttime Day/Night Band Composites Version 1 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG.md.txt) | | Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. ... | | [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb.md.txt) [eog](https://developers.google.com/earth-engine/datasets/tags/eog.md.txt) [lights](https://developers.google.com/earth-engine/datasets/tags/lights.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG.md.txt) | | Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. ... | | [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb.md.txt) [eog](https://developers.google.com/earth-engine/datasets/tags/eog.md.txt) [lights](https://developers.google.com/earth-engine/datasets/tags/lights.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### VJ114IMGTDL_NRT Daily Raster: VIIRS (NOAA-20) Band 375m Active Fire ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_LANCE_NOAA20_VIIRS_C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_NOAA20_VIIRS_C2.md.txt) | | NOAA-20 (JPSS-1) Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fire detection product is based on the instrument's 375m nominal resolution data. Compared to other coarser resolution (≥ 1km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small ... | | [eosdis](https://developers.google.com/earth-engine/datasets/tags/eosdis.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [firms](https://developers.google.com/earth-engine/datasets/tags/firms.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hotspot](https://developers.google.com/earth-engine/datasets/tags/hotspot.md.txt) [lance](https://developers.google.com/earth-engine/datasets/tags/lance.md.txt) | - |---| | [### VJ146A2: VIIRS Lunar Gap-Filled BRDF Nighttime Lights Daily L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ146A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ146A2.md.txt) | | The NOAA-20 (JPSS-1) Visible Infrared Imaging Radiometer Suite (VIIRS) supports a Day-Night Band (DNB) sensor that provides global daily measurements of nocturnal visible and near-infrared (NIR) light that are suitable for Earth system science and applications. The VIIRS DNB's ultra-sensitivity in lowlight conditions generates science-quality ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### VJ209GA: VIIRS Surface Reflectance Daily 500m and 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ209GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ209GA.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VJ209GA) Version 2 product provides an estimate of land surface reflectance from the Joint Polar Satellite System (JPSS-2) / NOAA-21 VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [noaa21](https://developers.google.com/earth-engine/datasets/tags/noaa21.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VJ209H1: VIIRS Surface Reflectance 8-Day L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ209H1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ209H1.md.txt) | | The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) Surface Reflectance (VJ209H1) Version 2 composite product provides an estimate of land surface reflectance from the Joint Polar Satellite System (JPSS-2) / NOAA-21 VIIRS sensor for three imagery bands (I1, I2, I3) at nominal 500 meter resolution ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [noaa21](https://developers.google.com/earth-engine/datasets/tags/noaa21.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VJ213A1: VIIRS Vegetation Indices 16-Day 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ213A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ213A1.md.txt) | | The Joint Polar Satellite System (JPSS-2) / NOAA-21 NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VJ213A1) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter resolution. The VJ213 ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [noaa21](https://developers.google.com/earth-engine/datasets/tags/noaa21.md.txt) | - |---| | [### VJ214A1.002: Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ214A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ214A1.md.txt) | | The daily NOAA-21 NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies/Fire (VJ214A1) Version 2 data product provides daily information about active fires and other thermal anomalies. The VJ214A1 data product is a global, 1km gridded composite of fire pixels detected from VIIRS 750m bands ... | | [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VJ215A2H.002: LAI/FPAR 8-Day L4 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ215A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ215A2H.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 2 data product provides information about the vegetative canopy layer at 500 meter resolution (VJ215A2H). The VIIRS sensor is located onboard the NOAA-21 satellite. LAI is ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VJ221A1D.002: Day Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ221A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ221A1D.md.txt) | | The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Day Version 2 product (VJ221A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VJ221 swath granules onto a sinusoidal MODIS grid and ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [day](https://developers.google.com/earth-engine/datasets/tags/day.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VJ221A1N.002: Night Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ221A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ221A1N.md.txt) | | The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Night Version 2 product (VJ221A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VJ221 swath granules onto a sinusoidal MODIS grid and ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [night](https://developers.google.com/earth-engine/datasets/tags/night.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VJ243IA3: BRDF/Albedo Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ243IA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ243IA3.md.txt) | | The NASA/NOAA NOAA-21 (JPSS-2) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 500 meter resolution. The VJ243IA3 product is produced daily using 16 days of VIIRS data and is weighted temporally to ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VJ243IA4: Nadir BRDF-Adjusted Reflectance Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ243IA4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ243IA4.md.txt) | | The NASA/NOAA NOAA-21 (JPSS-2) Visible Infrared Imaging Radiometer Suite (VIIRS) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 2 product provides NBAR estimates at 500 meter resolution. The VJ243IA4 product is produced daily using 16 days of VIIRS data and is weighted temporally ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VJ243MA3: BRDF/Albedo Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ243MA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ243MA3.md.txt) | | The NASA/NOAA NOAA-21 (JPSS-2) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 1000 meter (1 km) resolution. The VJ243MA3 product is produced daily using 16 days of VIIRS data and is weighted ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP09GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09GA.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VNP09GA) product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (\~463 meter) ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP09H1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09H1.md.txt) | | The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) Surface Reflectance (VNP09H1) Version 1 composite product provides an estimate of land surface reflectance from the Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor for three imagery bands (I1, I2, I3) at nominal 500m resolution (\~463m). The ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP13A1.002: VIIRS Vegetation Indices 16-Day 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP13A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP13A1.md.txt) | | The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13A1) data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter resolution. The VNP13 data products are designed ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) | - |---| | [### VNP14A1.002: Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP14A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP14A1.md.txt) | | The daily Suomi National Polar-Orbiting Partnership NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies/Fire (VNP14A1) Version 1 data product provides daily information about active fires and other thermal anomalies. The VNP14A1 data product is a global, 1km gridded composite of fire pixels detected from ... | | [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP14IMGTDL_NRT Daily Raster: VIIRS (S-NPP) Band 375m Active Fire ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_LANCE_SNPP_VIIRS_C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_SNPP_VIIRS_C2.md.txt) | | Suomi NPP Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fire detection product is based on the instrument's 375m nominal resolution data. Compared to other coarser resolution (≥ 1km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small ... | | [eosdis](https://developers.google.com/earth-engine/datasets/tags/eosdis.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [firms](https://developers.google.com/earth-engine/datasets/tags/firms.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hotspot](https://developers.google.com/earth-engine/datasets/tags/hotspot.md.txt) [lance](https://developers.google.com/earth-engine/datasets/tags/lance.md.txt) | - |---| | [### VNP15A2H: LAI/FPAR 8-Day L4 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP15A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP15A2H.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 1 data product provides information about the vegetative canopy layer at 500 meter resolution (VNP15A2H). The VIIRS sensor is located onboard the NOAA/NASA joint Suomi National ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP21A1D.002: Day Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP21A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP21A1D.md.txt) | | The NASA Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Day Version 1 product (VNP21A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VNP21 swath granules ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [day](https://developers.google.com/earth-engine/datasets/tags/day.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VNP21A1N.002: Night Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP21A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP21A1N.md.txt) | | The NASA Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Night Version 1 product (VNP21A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VNP21 swath granules ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [night](https://developers.google.com/earth-engine/datasets/tags/night.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VNP22Q2.002: Land Surface Phenology Yearly L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP22Q2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP22Q2.md.txt) | | The Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Phenology Yearly (VNP22Q2) Version 2 data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22Q2 data product is derived from time series of the two-band ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [onset-greenness](https://developers.google.com/earth-engine/datasets/tags/onset-greenness.md.txt) | - |---| | [### VNP43IA1: BRDF/Albedo Model Parameters Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_001_VNP43IA1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA1.md.txt) | | The Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters (VNP43IA1) Version 1 product provides kernel weights (parameters) at 500 resolution. The VNP43IA1 product is produced daily using 16 days of VIIRS ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP43IA2: BRDF/Albedo Quality Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_001_VNP43IA2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA2.md.txt) | | The Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Quality (VNP43IA2) Version 1 product provides BRDF and Albedo quality at 500m resolution. The VNP43IA2 product is produced daily using 16 days of VIIRS ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP43IA3: BRDF/Albedo Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP43IA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP43IA3.md.txt) | | The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 500 meter resolution. The VNP43IA3 product is produced daily using 16 days of VIIRS data and ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP43IA4: BRDF/Albedo Quality Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP43IA4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP43IA4.md.txt) | | The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 2 product provides NBAR estimates at 500 meter resolution. The VNP43IA4 product is produced daily using 16 days of VIIRS data ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VNP43MA3: BRDF/Albedo Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP43MA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP43MA3.md.txt) | | The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 1000 meter (1 km) resolution. The VNP43MA3 product is produced daily using 16 days of VIIRS ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP46A1: VIIRS Daily Gridded Day Night Band 500m Linear Lat Lon Grid Night ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_001_VNP46A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP46A1.md.txt) | | The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) supports a Day-Night Band (DNB) sensor that provides global daily measurements of nocturnal visible and near-infrared (NIR) light that are suitable for Earth system science and applications. The VIIRS DNB's ultra-sensitivity in lowlight ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP46A2: VIIRS Lunar Gap-Filled BRDF Nighttime Lights Daily L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP46A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP46A2.md.txt) | | The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) supports a Day-Night Band (DNB) sensor that provides global daily measurements of nocturnal visible and near-infrared(NIR) light that are suitable for Earth system science and applications. The VIIRS DNB's ultra-sensitivity in lowlight conditions ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### VNP64A1.002: Burned Area Monthly L4 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP64A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP64A1.md.txt) | | The daily Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 2 data product is a monthly, global gridded 500m product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750m VIIRS ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn.md.txt) [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### WAPOR Actual Evapotranspiration and Interception 2.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_2_L1_AETI_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_AETI_D.md.txt) | | The actual evapotranspiration and interception (ETIa) (dekadal, in mm/day) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Actual Evapotranspiration and Interception 3.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_3_L1_AETI_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_3_L1_AETI_D.md.txt) | | The actual evapotranspiration and interception (ETIa) (dekadal, in mm/day) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Daily Reference Evapotranspiration 2.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_2_L1_RET_E_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_RET_E.md.txt) | | Reference evapotranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. Each pixel represents the daily reference evapotranspiration in mm. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Daily Reference Evapotranspiration 3.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_3_L1_RET_E_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_3_L1_RET_E.md.txt) | | Reference evapotranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. Each pixel represents the daily reference evapotranspiration in mm. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Evaporation 2.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_2_L1_E_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_E_D.md.txt) | | The evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Evaporation 3.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_3_L1_E_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_3_L1_E_D.md.txt) | | The evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Interception 2.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_2_L1_I_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_I_D.md.txt) | | The interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Interception 3.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_3_L1_I_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_3_L1_I_D.md.txt) | | The interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Net Primary Production 2.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_2_L1_NPP_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_NPP_D.md.txt) | | Net primary production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### WAPOR Dekadal Reference Evapotranspiration 2.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_2_L1_RET_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_RET_D.md.txt) | | Reference evapotranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the average of the daily reference evapotranspiration for that specific dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Reference Evapotranspiration 3.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_3_L1_RET_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_3_L1_RET_D.md.txt) | | Reference evapotranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the average of the daily reference evapotranspiration for that specific dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Transpiration 2.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_2_L1_T_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_T_D.md.txt) | | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WAPOR Dekadal Transpiration 3.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_WAPOR_3_L1_T_D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_3_L1_T_D.md.txt) | | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [wapor](https://developers.google.com/earth-engine/datasets/tags/wapor.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### WCMC Above and Below Ground Biomass Carbon Density ![](https://developers.google.com/earth-engine/datasets/images/WCMC/WCMC_biomass_carbon_density_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WCMC_biomass_carbon_density_v1_0.md.txt) | | This dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010. The dataset was constructed by combining the most reliable publicly available datasets and overlaying them with the ESA CCI landcover map for the year 2010 (ESA, ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [wcmc](https://developers.google.com/earth-engine/datasets/tags/wcmc.md.txt) | - |---| | [### WDKBA: World Database of Key Biodiversity Areas (KBAs) - March 2026 ![](https://developers.google.com/earth-engine/datasets/images/ee-kbas-in-gee/projects_ee-kbas-in-gee_assets_current_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_ee-kbas-in-gee_assets_current.md.txt) | | If you are interested in accessing the KBA dataset please complete the KBA data request form which will allow access directly in GEE once approved. Key Biodiversity Areas (KBAs) are 'sites contributing significantly to the global persistence of biodiversity', in terrestrial, freshwater and marine ecosystems. ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [iucn](https://developers.google.com/earth-engine/datasets/tags/iucn.md.txt) [management](https://developers.google.com/earth-engine/datasets/tags/management.md.txt) | - |---| | [### WDOECM: Other Effective Area-based Conservation Measures (points) ![](https://developers.google.com/earth-engine/datasets/images/WCMC/WCMC_WDOECM_current_points_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WCMC_WDOECM_current_points.md.txt) | | A geographically defined area other than a Protected Area, which is governed and managed in ways that achieve positive and sustained long-term outcomes for the in situ conservation of biodiversity, with associated ecosystem functions and services and where applicable, cultural, spiritual, socio-economic, and other locally ... | | [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [iucn](https://developers.google.com/earth-engine/datasets/tags/iucn.md.txt) [mpa](https://developers.google.com/earth-engine/datasets/tags/mpa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [protected](https://developers.google.com/earth-engine/datasets/tags/protected.md.txt) | - |---| | [### WDOECM: Other Effective Area-based Conservation Measures (polygons) ![](https://developers.google.com/earth-engine/datasets/images/WCMC/WCMC_WDOECM_current_polygons_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WCMC_WDOECM_current_polygons.md.txt) | | A geographically defined area other than a Protected Area, which is governed and managed in ways that achieve positive and sustained long-term outcomes for the in situ conservation of biodiversity, with associated ecosystem functions and services and where applicable, cultural, spiritual, socio-economic, and other locally ... | | [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [iucn](https://developers.google.com/earth-engine/datasets/tags/iucn.md.txt) [mpa](https://developers.google.com/earth-engine/datasets/tags/mpa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [protected](https://developers.google.com/earth-engine/datasets/tags/protected.md.txt) | - |---| | [### WDPA: World Database on Protected Areas (points) ![](https://developers.google.com/earth-engine/datasets/images/WCMC/WCMC_WDPA_current_points_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WCMC_WDPA_current_points.md.txt) | | The World Database on Protected Areas (WDPA) is the most up-to-date and complete source of information on protected areas, updated monthly with submissions from governments, non-governmental organizations, landowners, and communities. It is managed by the United Nations Environment Programme's World Conservation Monitoring Centre (UNEP-WCMC) with ... | | [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [iucn](https://developers.google.com/earth-engine/datasets/tags/iucn.md.txt) [mpa](https://developers.google.com/earth-engine/datasets/tags/mpa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [protected](https://developers.google.com/earth-engine/datasets/tags/protected.md.txt) | - |---| | [### WDPA: World Database on Protected Areas (polygons) ![](https://developers.google.com/earth-engine/datasets/images/WCMC/WCMC_WDPA_current_polygons_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WCMC_WDPA_current_polygons.md.txt) | | The World Database on Protected Areas (WDPA) is the most up-to-date and complete source of information on protected areas, updated monthly with submissions from governments, non-governmental organizations, landowners, and communities. It is managed by the United Nations Environment Programme's World Conservation Monitoring Centre (UNEP-WCMC) with ... | | [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [iucn](https://developers.google.com/earth-engine/datasets/tags/iucn.md.txt) [mpa](https://developers.google.com/earth-engine/datasets/tags/mpa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [protected](https://developers.google.com/earth-engine/datasets/tags/protected.md.txt) | - |---| | [### WHRC Pantropical National Level Carbon Stock Dataset ![](https://developers.google.com/earth-engine/datasets/images/WHRC/WHRC_biomass_tropical_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WHRC_biomass_tropical.md.txt) | | A national-level map of above-ground live woody biomass density for tropical countries at 500m. This dataset was assembled from a combination of co-located field measurements, LiDAR observations, and imagery recorded from the Moderate Resolution Imaging Spectroradiometer (MODIS). | | [aboveground](https://developers.google.com/earth-engine/datasets/tags/aboveground.md.txt) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [umd](https://developers.google.com/earth-engine/datasets/tags/umd.md.txt) | - |---| | [### WRI Aqueduct Baseline Annual Version 4.0 ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_Aqueduct_Water_Risk_V4_baseline_annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_Aqueduct_Water_Risk_V4_baseline_annual.md.txt) | | Aqueduct 4.0 is the latest iteration of WRI's water risk framework designed to translate complex hydrological data into intuitive indicators of water related risk. This dataset has curated 13 water risk indicators for quantity, quality and reputational concerns into a comprehensive framework. For 5 of ... | | [aqueduct](https://developers.google.com/earth-engine/datasets/tags/aqueduct.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [monitoring](https://developers.google.com/earth-engine/datasets/tags/monitoring.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### WRI Aqueduct Baseline Monthly Version 4.0 ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_Aqueduct_Water_Risk_V4_baseline_monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_Aqueduct_Water_Risk_V4_baseline_monthly.md.txt) | | Aqueduct 4.0 is the latest iteration of WRI's water risk framework designed to translate complex hydrological data into intuitive indicators of water related risk. This dataset has curated 13 water risk indicators for quantity, quality and reputational concerns into a comprehensive framework. For 5 of ... | | [aqueduct](https://developers.google.com/earth-engine/datasets/tags/aqueduct.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [monitoring](https://developers.google.com/earth-engine/datasets/tags/monitoring.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### WRI Aqueduct Floods Hazard Maps Version 2 ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_Aqueduct_Flood_Hazard_Maps_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_Aqueduct_Flood_Hazard_Maps_V2.md.txt) | | Aqueduct Floods data measures riverine and coastal food risks under both current baseline conditions and future projections in 2030, 2050, and 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods helps to conduct comprehensive cost-benefit analysis to evaluate the value of dike ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [monitoring](https://developers.google.com/earth-engine/datasets/tags/monitoring.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### WRI Aqueduct Future Annual Version 4.0 ![](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_Aqueduct_Water_Risk_V4_future_annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WRI_Aqueduct_Water_Risk_V4_future_annual.md.txt) | | Aqueduct 4.0 is the latest iteration of WRI's water risk framework designed to translate complex hydrological data into intuitive indicators of water related risk. This dataset has curated 13 water risk indicators for quantity, quality and reputational concerns into a comprehensive framework. For 5 of ... | | [aqueduct](https://developers.google.com/earth-engine/datasets/tags/aqueduct.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [monitoring](https://developers.google.com/earth-engine/datasets/tags/monitoring.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [wri](https://developers.google.com/earth-engine/datasets/tags/wri.md.txt) | - |---| | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2022 v1.0 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2001_2022_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2001_2022.md.txt) | | This dataset maps the dominant driver of tree cover loss from 2001-2022 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon.md.txt) | - |---| | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2023 v1.1 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_1_2001_2023_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_1_2001_2023.md.txt) | | This dataset maps the dominant driver of tree cover loss from 2001-2023 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon.md.txt) | - |---| | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2024 v1.2 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2_2001_2024_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2_2001_2024.md.txt) | | This dataset maps the dominant driver of tree cover loss from 2001-2024 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon.md.txt) | - |---| | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2025 v1.3 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_3_2001_2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_3_2001_2025.md.txt) | | This dataset maps the dominant driver of tree cover loss from 2001-2025 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [google](https://developers.google.com/earth-engine/datasets/tags/google.md.txt) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 03 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level03_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level03.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 04 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level04_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level04.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 05 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level05_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level05.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 06 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level06_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level06.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 07 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level07_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level07.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 08 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level08_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level08.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 09 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level09_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level09.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 10 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level10_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level10.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 11 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level11_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level11.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroATLAS Basins Level 12 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroATLAS_v1_Basins_level12_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroATLAS_v1_Basins_level12.md.txt) | | BasinATLAS is a component of the HydroATLAS database, which is a component of HydroSHEDS. BasinATLAS provides a standardized compendium of hydro-environmental attribute information for all watersheds of the world at high spatial resolution. This dataset includes data for 56 variables, partitioned into 281 attributes and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydroatlas](https://developers.google.com/earth-engine/datasets/tags/hydroatlas.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 1 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_1.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 10 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_10_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_10.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 11 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_11_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_11.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 12 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_12_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_12.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 2 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_2.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 3 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_3.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 4 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_4.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 5 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_5_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_5.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 6 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_6.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 7 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_7_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_7.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 8 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_8_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_8.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Basins Level 9 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_Basins_hybas_9_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_Basins_hybas_9.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Drainage Direction, 15 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_15DIR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_15DIR.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [direction](https://developers.google.com/earth-engine/datasets/tags/direction.md.txt) [drainage](https://developers.google.com/earth-engine/datasets/tags/drainage.md.txt) [flow](https://developers.google.com/earth-engine/datasets/tags/flow.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Drainage Direction, 3 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_03DIR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_03DIR.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [direction](https://developers.google.com/earth-engine/datasets/tags/direction.md.txt) [drainage](https://developers.google.com/earth-engine/datasets/tags/drainage.md.txt) [flow](https://developers.google.com/earth-engine/datasets/tags/flow.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Drainage Direction, 30 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_30DIR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_30DIR.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [direction](https://developers.google.com/earth-engine/datasets/tags/direction.md.txt) [drainage](https://developers.google.com/earth-engine/datasets/tags/drainage.md.txt) [flow](https://developers.google.com/earth-engine/datasets/tags/flow.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Flow Accumulation, 15 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_15ACC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_15ACC.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [accumulation](https://developers.google.com/earth-engine/datasets/tags/accumulation.md.txt) [drainage](https://developers.google.com/earth-engine/datasets/tags/drainage.md.txt) [flow](https://developers.google.com/earth-engine/datasets/tags/flow.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Flow Accumulation, 30 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_30ACC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_30ACC.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [accumulation](https://developers.google.com/earth-engine/datasets/tags/accumulation.md.txt) [drainage](https://developers.google.com/earth-engine/datasets/tags/drainage.md.txt) [flow](https://developers.google.com/earth-engine/datasets/tags/flow.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Free Flowing Rivers Network v1 ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_v1_FreeFlowingRivers_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_FreeFlowingRivers.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### WWF HydroSHEDS Hydrologically Conditioned DEM, 15 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_15CONDEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_15CONDEM.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [conditioned](https://developers.google.com/earth-engine/datasets/tags/conditioned.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Hydrologically Conditioned DEM, 3 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_03CONDEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_03CONDEM.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [conditioned](https://developers.google.com/earth-engine/datasets/tags/conditioned.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Hydrologically Conditioned DEM, 30 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_30CONDEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_30CONDEM.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [conditioned](https://developers.google.com/earth-engine/datasets/tags/conditioned.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) | - |---| | [### WWF HydroSHEDS Void-Filled DEM, 3 Arc-Seconds ![](https://developers.google.com/earth-engine/datasets/images/WWF/WWF_HydroSHEDS_03VFDEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_03VFDEM.md.txt) | | HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hydrography](https://developers.google.com/earth-engine/datasets/tags/hydrography.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [hydrosheds](https://developers.google.com/earth-engine/datasets/tags/hydrosheds.md.txt) | - |---| | [### WeatherNext 2 ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0.md.txt) | | WeatherNext 2 is an experimental dataset of global medium-range ensemble weather forecasts produced by an operational version of Google DeepMind's Functional Network Generative weather model. The experimental dataset includes real-time and historic data. Real-time data is any data that relates to a time that is ... | | [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WeatherNext 2 Mean ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_mean_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_mean.md.txt) | | WeatherNext 2 Mean is the mean of 64 ensembles of an experimental dataset of global medium-range ensemble weather forecasts produced by an operational version of Google DeepMind's Functional Network Generative weather model. For a dataset containing all ensemble members, please see the (non-mean) WeatherNext 2 ... | | [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WeatherNext 3 (0.05°) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p05deg_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p05deg.md.txt) | | WeatherNext 3 (0.05°) dataset is an experimental dataset of global medium-range ensemble weather forecasts by Google DeepMind and Google Research, produced by an operational version of the model described in: WeatherNext 3: Increasing resolution and performance of global weather models with raw observations. Data Access ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### WeatherNext 3 (0.1°) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p1deg_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p1deg.md.txt) | | WeatherNext 3 (0.1°) dataset is an experimental dataset of global medium-range ensemble weather forecasts by Google DeepMind and Google Research, produced by an operational version of the model described in: WeatherNext 3: Increasing resolution and performance of global weather models with raw observations. Data Access ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### Wildfire Risk to Communities v0 ![](https://developers.google.com/earth-engine/datasets/images/USDA/USDA_WRC_v0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USDA_WRC_v0.md.txt) | | This dataset depicts components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across the landscape); and 2) represent in situ risk - risk at the location where the adverse effects take place on the ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [wildfire](https://developers.google.com/earth-engine/datasets/tags/wildfire.md.txt) | - |---| | [### World Settlement Footprint 2015 ![](https://developers.google.com/earth-engine/datasets/images/DLR/DLR_WSF_WSF2015_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/DLR_WSF_WSF2015_v1.md.txt) | | The World Settlement Footprint (WSF) 2015 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which \~217,000 and \~107,000 scenes have been processed, respectively). The temporal dynamics of human settlements ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) [settlement](https://developers.google.com/earth-engine/datasets/tags/settlement.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) | - |---| | [### WorldClim BIO Variables V1 ![](https://developers.google.com/earth-engine/datasets/images/WORLDCLIM/WORLDCLIM_V1_BIO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WORLDCLIM_V1_BIO.md.txt) | | WorldClim V1 Bioclim provides bioclimatic variables that are derived from the monthly temperature and rainfall in order to generate more biologically meaningful values. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation), seasonality (e.g., annual range in temperature and precipitation), and extreme ... | | [berkeley](https://developers.google.com/earth-engine/datasets/tags/berkeley.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WorldClim Climatology V1 ![](https://developers.google.com/earth-engine/datasets/images/WORLDCLIM/WORLDCLIM_V1_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WORLDCLIM_V1_MONTHLY.md.txt) | | WorldClim version 1 has average monthly global climate data for minimum, mean, and maximum temperature and for precipitation. WorldClim version 1 was developed by Robert J. Hijmans, Susan Cameron, and Juan Parra, at the Museum of Vertebrate Zoology, University of California, Berkeley, in collaboration with ... | | [berkeley](https://developers.google.com/earth-engine/datasets/tags/berkeley.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WorldPop Global Project Population Data (R2025A): Estimated Residential Population per 100x100m Grid Square ![](https://developers.google.com/earth-engine/datasets/images/WorldPop/WorldPop_GP_100m_R2025A_v1_pop_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WorldPop_GP_100m_R2025A_v1_pop.md.txt) | | The WorldPop project aims to provide detailed and open-access population distribution datasets, built using transparent and peer-reviewed approaches, to facilitate the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. Full details on the methods and datasets used in ... | | [demography](https://developers.google.com/earth-engine/datasets/tags/demography.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [worldpop](https://developers.google.com/earth-engine/datasets/tags/worldpop.md.txt) | - |---| | [### WorldPop Global Project Population Data: Constrained Estimated Age and Sex Structures of Residential Population per 100x100m Grid Square ![](https://developers.google.com/earth-engine/datasets/images/WorldPop/WorldPop_GP_100m_pop_age_sex_cons_unadj_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WorldPop_GP_100m_pop_age_sex_cons_unadj.md.txt) | | Global high-resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population ... | | [demography](https://developers.google.com/earth-engine/datasets/tags/demography.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [worldpop](https://developers.google.com/earth-engine/datasets/tags/worldpop.md.txt) | - |---| | [### WorldPop Global Project Population Data: Estimated Age and Sex Structures of Residential Population per 100x100m Grid Square ![](https://developers.google.com/earth-engine/datasets/images/WorldPop/WorldPop_GP_100m_pop_age_sex_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WorldPop_GP_100m_pop_age_sex.md.txt) | | Global high-resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population ... | | [demography](https://developers.google.com/earth-engine/datasets/tags/demography.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [worldpop](https://developers.google.com/earth-engine/datasets/tags/worldpop.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Pixel-Level Annual Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_yearly_pixel_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_yearly_pixel_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Pixel-Level Composites of Yearly Summertime Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_Summer_UHI_yearly_pixel_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_Summer_UHI_yearly_pixel_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Pixel-Level Yearly Composites of Wintertime Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_Winter_UHI_yearly_pixel_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_Winter_UHI_yearly_pixel_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Spatially-Averaged Daytime and Nighttime Intensity for Annual, Summer, and Winter ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_all_averaged_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_all_averaged_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Spatially-Averaged Monthly Composites of Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_monthly_averaged_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_monthly_averaged_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Spatially-Averaged Yearly Composites of Annual Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_yearly_averaged_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_yearly_averaged_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### geoBoundaries: Political administrative boundaries at Country level (ADM0), v6.0.0 ![](https://developers.google.com/earth-engine/datasets/images/WM/WM_geoLab_geoBoundaries_600_ADM0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WM_geoLab_geoBoundaries_600_ADM0.md.txt) | | The geoBoundaries Global Database of Political Administrative Boundaries Database is an online, open license resource of boundaries (i.e., state, county) for every country in the world. Currently 199 total entities are tracked, including all 195 UN member states, Greenland, Taiwan, Niue, and Kosovo. Comprehensive Global ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### geoBoundaries: Political administrative boundaries at District level (ADM1), v6.0.0 ![](https://developers.google.com/earth-engine/datasets/images/WM/WM_geoLab_geoBoundaries_600_ADM1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WM_geoLab_geoBoundaries_600_ADM1.md.txt) | | The geoBoundaries Global Database of Political Administrative Boundaries Database is an online, open license resource of boundaries (i.e., state, county) for every country in the world. Currently 199 total entities are tracked, including all 195 UN member states, Greenland, Taiwan, Niue, and Kosovo. Comprehensive Global ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### geoBoundaries: Political administrative boundaries at Municipality level (ADM2), v6.0.0 ![](https://developers.google.com/earth-engine/datasets/images/WM/WM_geoLab_geoBoundaries_600_ADM2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WM_geoLab_geoBoundaries_600_ADM2.md.txt) | | The geoBoundaries Global Database of Political Administrative Boundaries Database is an online, open license resource of boundaries (i.e., state, county) for every country in the world. Currently 199 total entities are tracked, including all 195 UN member states, Greenland, Taiwan, Niue, and Kosovo. Comprehensive Global ... | | [borders](https://developers.google.com/earth-engine/datasets/tags/borders.md.txt) [countries](https://developers.google.com/earth-engine/datasets/tags/countries.md.txt) [infrastructure-boundaries](https://developers.google.com/earth-engine/datasets/tags/infrastructure-boundaries.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### iNaturalist Multispecies Open Range Maps ![](https://developers.google.com/earth-engine/datasets/images/iNaturalist/iNaturalist_MULTI_SPECIES_LATEST_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/iNaturalist_MULTI_SPECIES_LATEST.md.txt) | | The iNaturalist Multispecies Range Dataset provides modeled geographic ranges for thousands of species. Dataset contains species polygons, with attributes such as taxon_id, name, scientific_name, and geomodel_version. Ranges are estimated from iNaturalist community observations and updated on a monthly basis. These datasets enable large-scale biodiversity analyses, ... | | [bigquery](https://developers.google.com/earth-engine/datasets/tags/bigquery.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [range](https://developers.google.com/earth-engine/datasets/tags/range.md.txt) [species](https://developers.google.com/earth-engine/datasets/tags/species.md.txt) | - |---| | [### iSDAsoil Bulk Density, \<2mm Fraction ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_bulk_density_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_bulk_density.md.txt) | | Bulk density, \<2mm fraction at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with x/100. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Clay Content ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_clay_content_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_clay_content.md.txt) | | Clay content at soil depths of 0-20 cm and 20-50 cm,\\npredicted mean and standard deviation. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. Soil property predictions were made by Innovative ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [clay](https://developers.google.com/earth-engine/datasets/tags/clay.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Depth to Bedrock ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_bedrock_depth_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_bedrock_depth.md.txt) | | Depth to bedrock at 0-200 cm depth, predicted mean and standard deviation. Due to the potential cropland mask that was used for generating the data, many areas of exposed rock (where depth to bedrock would be 0 cm) have been masked out and therefore appear ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [bedrock](https://developers.google.com/earth-engine/datasets/tags/bedrock.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Effective Cation Exchange Capacity ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_cation_exchange_capacity_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_cation_exchange_capacity.md.txt) | | Effective Cation Exchange Capacity predicted mean and standard deviation at soil depths of 0-20 cm and 20-50 cm, Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [aluminium](https://developers.google.com/earth-engine/datasets/tags/aluminium.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Extractable Calcium ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_calcium_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_calcium_extractable.md.txt) | | Extractable calcium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Extractable Iron ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_iron_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_iron_extractable.md.txt) | | Extractable iron at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Extractable Magnesium ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_magnesium_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_magnesium_extractable.md.txt) | | Extractable magnesium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Extractable Phosphorus ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_phosphorus_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_phosphorus_extractable.md.txt) | | Extractable phosphorus at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Extractable Potassium ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_potassium_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_potassium_extractable.md.txt) | | Extractable potassium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Extractable Sulfur ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_sulphur_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_sulphur_extractable.md.txt) | | Extractable sulfur at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Extractable Zinc ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_zinc_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_zinc_extractable.md.txt) | | Extractable zinc at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Fertility Capability Classification ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_fcc_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_fcc.md.txt) | | Soil fertility capability classification derived using slope, chemical, and physical soil properties. For more information about this layer, please visit this page. The classes for the 'fcc' band apply to pixel values that must be back-transformed with x modulo 3000. In areas of dense jungle ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Organic Carbon ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_carbon_organic_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_carbon_organic.md.txt) | | Organic carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Sand Content ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_sand_content_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_sand_content.md.txt) | | Sand content at soil depths of 0-20 cm and 20-50 cm,\\npredicted mean and standard deviation. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. Soil property predictions were made by Innovative ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [sand](https://developers.google.com/earth-engine/datasets/tags/sand.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Silt Content ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_silt_content_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_silt_content.md.txt) | | Silt content at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Stone Content ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_stone_content_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_stone_content.md.txt) | | Stone content at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Total Carbon ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_carbon_total_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_carbon_total.md.txt) | | Total carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [aluminium](https://developers.google.com/earth-engine/datasets/tags/aluminium.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil Total Nitrogen ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_nitrogen_total_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_nitrogen_total.md.txt) | | Total nitrogen at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/100)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [nitrogen](https://developers.google.com/earth-engine/datasets/tags/nitrogen.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil USDA Texture Class ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_texture_class_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_texture_class.md.txt) | | USDA Texture Class at soil depths of 0-20 cm and 20-50 cm. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. Soil property predictions were made by Innovative Solutions for Decision ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [aluminium](https://developers.google.com/earth-engine/datasets/tags/aluminium.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil extractable Aluminium ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_aluminium_extractable_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_aluminium_extractable.md.txt) | | Extractable aluminium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. Soil property predictions were made by Innovative Solutions for Decision Agriculture Ltd. (iSDA) at 30 m pixel size using machine learning coupled ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [aluminium](https://developers.google.com/earth-engine/datasets/tags/aluminium.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) | - |---| | [### iSDAsoil pH ![](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_ph_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_ph.md.txt) | | pH at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with x/10. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. ... | | [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [isda](https://developers.google.com/earth-engine/datasets/tags/isda.md.txt) [ph](https://developers.google.com/earth-engine/datasets/tags/ph.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) |