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Cocoa Probability model 2024a
Note: This dataset is not yet peer-reviewed. Please see the GitHub README associated with this model for more information. This image collection provides per-pixel probability that the underlying area is occupied by cocoa. The probability estimates are provided at 10 meter resolution, and have been … biodiversity conservation crop eudr forestdatapartnership landuse -
Forest Persistence v0
Note: This dataset is not yet peer-reviewed. Please see the GitHub README associated with this model for more information. 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 … biodiversity conservation deforestation eudr forestdatapartnership pre-review -
Palm Probability model 2024a
Note: This dataset is not yet peer-reviewed. Please see the GitHub README associated with this model for more information. This image collection provides per-pixel probability that the underlying area is occupied by palm. The probability estimates are provided at 10 meter resolution, and have been … biodiversity conservation crop eudr forestdatapartnership landuse -
Rubber Tree Probability model 2024a
Note: This dataset is not yet peer-reviewed. Please see the GitHub README associated with this model for more information. This image collection provides per-pixel probability that the underlying area is occupied by rubber trees. The probability estimates are provided at 10 meter resolution, and have … biodiversity conservation crop eudr forestdatapartnership landuse -
WeatherNext Graph Forecasts
WeatherNext Graph is an experimental dataset of global medium-range weather forecasts produced by an operational version of Google DeepMind's graphical neural network weather model. The experimental dataset includes real-time and historic data. Real-time data is any data that relates to a time that is no … forecast precipitation publisher-dataset temperature weather wind -
National Intertidal Digital Elevation Model 25m 1.0.0
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 dem ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA Geometric Median and Median Absolute Deviation - Landsat 5 3.1.0
This product provides statistical tools to exploit the time series of Landsat 5 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an "average" cloud-free … australia ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA Geometric Median and Median Absolute Deviation - Landsat 7 3.1.0
This product provides statistical tools to exploit the time series of Landsat 7 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an "average" cloud-free … australia ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA Geometric Median and Median Absolute Deviation - Landsat 8 and 9 v4.0.0
This product provides statistical tools to exploit the time series of Landsat 8 and 9 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. For calendar years 2022 onwards, Landsat 8 and … australia ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA Land Cover 1.0.0
Digital Earth Australia (DEA) Land Cover provides annual land cover classifications for Australia using the Food and Agriculture Organisation Land Cover Classification System taxonomy Version 2 (Di Gregorio and Jansen, 1998; 2005). DEA Land Cover translates over 30 years of satellite imagery into evidence of … australia ga geoscience-aus-cat landcover landsat-derived publisher-dataset -
DEA Water Observations Statistics 3.1.6
Digital Earth Australia (DEA) Water Observations uses an algorithm to classify each pixel from Landsat satellite imagery as 'wet', 'dry', or 'invalid'. Water Observations Statistics provides information on how many times each year the Landsat satellites were able to clearly see an area, how many … australia ga geoscience-aus-cat landsat-derived publisher-dataset water -
GPW Annual Probabilities of Cultivated Grasslands v1
This dataset provides global annual probability maps of cultivated grassland from 2000 to 2022 at 30-m spatial resolution. Produced by Land & Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry or … global global-pasture-watch land landcover landuse publisher-dataset -
GPW Annual Dominant Class of Grasslands v1
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 Land & Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% … global global-pasture-watch land landcover landuse publisher-dataset -
GPW Annual Probabilities of Natural/Semi-natural Grasslands v1
This dataset provides global annual probability maps of natural/semi-natural grassland from 2000 to 2022 at 30-m spatial resolution. Produced by Land & Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry or … global global-pasture-watch land landcover landuse publisher-dataset -
NEON Canopy Height Model (CHM)
Height of the top of canopy above bare earth (Canopy Height Model; CHM). The CHM is derived from the 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 point … airborne canopy forest lidar neon neon-prod-earthengine -
NEON Digital Elevation Model (DEM)
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 dem forest lidar neon neon-prod-earthengine -
NEON Directional Surface Reflectance
The NEON AOP surface directional reflectance data is a hyperspectral VSWIR (visible to shortwave infrared) data product, containing 426 bands spanning wavelengths from ~380 nm to 2510 nm. Wavelengths between 1340-1445 nm and 1790-1955 nm are set to -100; these are water vapor absorption bands … airborne forest hyperspectral neon neon-prod-earthengine publisher-dataset -
NEON Bidirectional Surface Reflectance
The NEON AOP surface bidirectional reflectance data is a hyperspectral VSWIR (visible to shortwave infrared) data product, containing 426 bands spanning wavelengths from ~380 nm to 2510 nm. Wavelengths between 1340-1445 nm and 1790-1955 nm are set to -100; these are water vapor absorption bands … airborne forest hyperspectral neon neon-prod-earthengine publisher-dataset -
NEON RGB Camera Imagery
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 forest highres neon neon-prod-earthengine orthophoto -
NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Africa
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 forest nicfi planet planet-nicfi publisher-dataset -
NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Americas
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 forest nicfi planet planet-nicfi publisher-dataset -
NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Asia
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 forest nicfi planet planet-nicfi publisher-dataset
[null,null,[],[[["This collection of datasets offers a variety of environmental monitoring tools, including probability models for cocoa, palm, and rubber tree occupation, as well as a forest persistence score."],["Included are global weather forecasts, Australian land cover classifications, and grassland probabilities, along with high-resolution tropical forest monitoring basemaps."],["Several datasets leverage LiDAR and hyperspectral data to provide detailed information on canopy height, digital elevation, and surface reflectance."],["Many datasets are provided by organizations such as Forest Data Partnership, Geoscience Australia, Global Pasture Watch, and NEON, and may be pre-review or experimental."],["These datasets can be utilized for various applications, including biodiversity conservation, deforestation monitoring, land use planning, and climate change research."]]],[]]