AI-generated Key Takeaways
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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.
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Included are global weather forecasts, Australian land cover classifications, and grassland probabilities, along with high-resolution tropical forest monitoring basemaps.
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Several datasets leverage LiDAR and hyperspectral data to provide detailed information on canopy height, digital elevation, and surface reflectance.
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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.
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These datasets can be utilized for various applications, including biodiversity conservation, deforestation monitoring, land use planning, and climate change research.
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Cocoa Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 … agriculture biodiversity conservation crop eudr forestdatapartnership -
Coffee Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 … agriculture biodiversity conservation crop eudr forestdatapartnership -
EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (8-Daily 1km)
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 malariaatlasproject map publisher-dataset vegetation vegetation-indices -
EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Annual 1km)
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 malariaatlasproject map publisher-dataset vegetation vegetation-indices -
EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Monthly 1km)
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 malariaatlasproject map publisher-dataset vegetation vegetation-indices -
Farmscapes 2020
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 Oxford Leverhulme Centre for Nature Recovery to serve as a baseline for applications including … biodiversity climate conservation forest landuse-landcover nature-trace -
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 forest-biomass forestdatapartnership -
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 the Land & Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least … global global-pasture-watch land landcover landuse landuse-landcover -
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 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 global-pasture-watch land landcover landuse landuse-landcover -
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 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 global-pasture-watch land landcover landuse landuse-landcover -
GPW Annual short vegetation height v1
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 global global-pasture-watch land landcover plant-productivity -
GPW Annual uncalibrated Gross Primary Productivity (uGPP) v1
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 global-pasture-watch land landcover landuse plant-productivity -
LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (8-Daily 1km)
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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (Annual 1km)
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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (Monthly 1km)
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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (8-Daily 1km)
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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (Annual 1km)
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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (Monthly 1km)
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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
MethaneSAT L3 Concentration Public Preview V1.0.0
This early "Public Preview" dataset provides geospatial data for the column-averaged dry-air mole fraction of methane in the atmosphere, "XCH4", retrieved from measurements by the MethaneSAT imaging spectrometer. XCH4 is defined as the total column amount (number of molecules above a unit surface area) of … atmosphere climate edf edf-methanesat-ee emissions ghg -
MethaneSAT L4 Area Sources Public Preview V1.0.0
The dispersed area emissions model is still in development and not representative of a final product. This early "Public Preview" dataset provides high precision data for methane emissions from dispersed area sources. These emissions data come from the Appalachian, Permian, and Uinta basins in the … atmosphere climate edf edf-methanesat-ee emissions ghg -
MethaneSAT L4 Area Sources Public Preview V2.0.0
The dispersed area emissions model is still in development and not representative of a final product. This early "Public Preview" dataset provides high precision data for methane emissions from dispersed area sources. These emissions data come from the Appalachian, Permian, and Uinta basins in the … atmosphere climate edf edf-methanesat-ee emissions ghg -
MethaneSAT L4 Point Sources Public Preview V1.0.0
This early "Public Preview" dataset provides high precision data for methane emissions from discrete point sources. These methane emission fluxes were produced using a point source detection and emissions quantification framework specialized to exploit the high spatial resolution, wide spatial coverage, and high precision of … atmosphere climate edf edf-methanesat-ee emissions ghg -
NEON Canopy Height Model (CHM)
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 canopy forest forest-biomass lidar neon -
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 elevation-topography forest lidar neon -
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 -
NEON Surface Bidirectional Reflectance
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 forest hyperspectral neon neon-prod-earthengine publisher-dataset -
NEON Surface Directional Reflectance
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 forest hyperspectral neon neon-prod-earthengine publisher-dataset -
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 -
Natural Forests of the World 2020
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 climate conservation deforestation eudr forest -
Palm Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 … agriculture biodiversity conservation crop eudr forestdatapartnership -
Rubber Tree Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 … agriculture biodiversity conservation crop eudr forestdatapartnership -
TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (8-Daily 1km)
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 malariaatlasproject map publisher-dataset tasseled-cap tcb -
TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Annual 1km)
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 malariaatlasproject map publisher-dataset tasseled-cap tcb -
TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Monthly 1km)
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 malariaatlasproject map publisher-dataset tasseled-cap tcb -
TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (8-Daily 1km)
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 map publisher-dataset tasseled-cap tcw vegetation -
TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Annual 1km)
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 map publisher-dataset tasseled-cap tcw vegetation -
TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Monthly 1km)
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 map publisher-dataset tasseled-cap tcw vegetation -
WRI/Google DeepMind Global Drivers of Forest Loss 2001-2022 v1.0
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 deforestation forest forest-biomass google landandcarbon -
WRI/Google DeepMind Global Drivers of Forest Loss 2001-2023 v1.1
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 deforestation forest forest-biomass google landandcarbon -
WRI/Google DeepMind Global Drivers of Forest Loss 2001-2024 v1.2
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 deforestation forest forest-biomass google landandcarbon -
WeatherNext Gen Forecasts
WeatherNext Gen is an experimental dataset of global medium-range ensemble weather forecasts produced by an operational version of Google DeepMind's diffusion-based ensemble 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 … climate forecast gcp-public-data-weathernext precipitation publisher-dataset temperature -
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 … climate forecast gcp-public-data-weathernext precipitation publisher-dataset temperature