-
Canada AAFC Annual Crop Inventory
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 … canada crop landcover -
Copernicus CORINE Land Cover
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 eea esa eu landcover -
Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3
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 eea esa eu landcover proba -
CSP gHM: Global Human Modification
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 fragmentation human-modification landcover landscape-gradient stressors -
World Settlement Footprint 2015
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 landsat-derived sentinel1-derived settlement urban -
FireCCI51: MODIS Fire_cci Burned Area Pixel Product, Version 5.1
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 climate-change copernicus esa fire fragmentation -
GlobCover: Global Land Cover Map
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 landcover -
ESA WorldCover 10m v100
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 landcover landuse sentinel1-derived sentinel2-derived -
ESA WorldCover 10m v200
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 landcover landuse sentinel1-derived sentinel2-derived -
GLIMS 2021: Global Land Ice Measurements From Space
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 … glacier glims ice landcover nasa nsidc -
GLIMS Current: Global Land Ice Measurements From Space
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 … glacier glims ice landcover nasa nsidc -
Dynamic World V1
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 google landcover landuse nrt sentinel2-derived -
Global PALSAR-2/PALSAR Forest/Non-Forest Map
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 alos2 classification eroc forest jaxa -
Global PALSAR-2/PALSAR Forest/Non-Forest Map
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 alos2 classification eroc forest jaxa -
LUCAS Copernicus (Polygons with attributes, 2018) V1
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 eu jrc landcover landuse lucas -
LUCAS Harmonized (Theoretical Location, 2006-2018) V1
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 jrc landcover landuse lucas -
Iran Land Cover Map v1 13-class (2017)
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 -
MCD12Q1.061 MODIS Land Cover Type Yearly Global 500m
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 modis nasa usgs yearly -
Oxford MAP: Malaria Atlas Project Fractional International Geosphere-Biosphere Programme Landcover
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 map oxford -
Global map of Local Climate Zones
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 landcover urban -
DESS China Terrace Map v1
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 landcover landuse tsinghua -
USDA NASS Cropland Data Layers
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, … cropland landcover usda -
USFS Landscape Change Monitoring System v2020.6 (Puerto Rico - US Virgin Islands only)
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. LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States. Its objective is … change change-detection forest gtac landcover landsat-derived -
USFS Landscape Change Monitoring System v2021.7 (Conterminous United States and Southeastern Alaska)
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. LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States. Its objective is … change change-detection forest gtac landcover landsat-derived -
Monitoring Trends in Burn Severity (MTBS) Burn Severity Images
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 fire forest gtac landcover landsat-derived -
USGS GAP Alaska 2001
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 … gap landcover landfire usgs vegetation -
USGS GAP CONUS 2011
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 … gap landcover landfire usgs vegetation -
USGS GAP Hawaii 2001
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 … gap landcover landfire usgs vegetation -
USGS GAP Puerto Rico 2001
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 … gap landcover landfire usgs vegetation -
GFSAD1000: Cropland Extent 1km Multi-Study Crop Mask, Global Food-Support Analysis Data
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 … crop cropland landcover usgs -
NLCD 2016: USGS National Land Cover Database, 2016 release
This dataset is partially superseded by newer datasets: Landcover and imperviousness data in USGS/NLCD_RELEASES/2019_REL/NLCD. Rangeland data in USGS/NLCD_RELEASES/2019_REL/RCMAP/V4/COVER. NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover database spanning 8 epochs (1992, 2001, 2004, 2006, 2008, 2011, 2013 and 2016). 1992 data … blm landcover mrlc nlcd rangeland usgs -
NLCD 2019: USGS National Land Cover Database, 2019 release
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). The images rely on the imperviousness data layer for the urban classes and on a decision-tree classification for the rest. … blm landcover mrlc nlcd usgs
[]
[]