AI-generated Key Takeaways
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The content describes various global and regional datasets related to forests, forest biomass, and carbon.
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Datasets provide information on forest cover, types, age, structure, canopy height, biomass, and carbon density.
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Several datasets are derived from satellite imagery like Landsat, GEDI, and PALSAR, offering different resolutions and metrics.
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Data is available for various regions including global, Europe, Canada, and the contiguous United States, and often includes multiple versions or years.
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The datasets support various applications such as monitoring deforestation, assessing biodiversity, conservation planning, and estimating biomass/carbon for climate reporting.
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EC JRC global map of forest cover 2020, V2
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 forest forest-biomass jrc -
European Primary Forest Dataset - Points
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 forest forest-biomass table -
European Primary Forest Dataset - Polygons
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 forest forest-biomass table -
FORMA Raw Output NDVI
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 deforestation forest forest-biomass forma gfw -
FORMA Vegetation T-Statistics
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 deforestation forest forest-biomass forma gfw -
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 -
GEDI L2A Raster Canopy Top Height (Version 2)
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 forest-biomass gedi larse nasa tree-cover -
GEDI L2A Vector Canopy Top Height (Version 2)
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 forest-biomass gedi larse nasa tree-cover -
GEDI L2A table index
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 forest-biomass gedi larse nasa table -
GEDI L2B Raster Canopy Cover Vertical Profile Metrics (Version 2)
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 forest-biomass gedi larse nasa tree-cover -
GEDI L2B Vector Canopy Cover Vertical Profile Metrics (Version 2)
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 forest-biomass gedi larse nasa tree-cover -
GEDI L2B table index
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 forest-biomass gedi larse nasa table -
GEDI L4A Aboveground Biomass Density, Version 2.1
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 forest-biomass gedi larse nasa tree-cover -
GEDI L4A Raster Aboveground Biomass Density, Version 2.1
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 forest-biomass gedi larse nasa tree-cover -
GEDI L4A table index
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 forest-biomass gedi larse nasa table -
GEDI L4B Gridded Aboveground Biomass Density (Version 2)
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 forest-biomass gedi larse nasa tree-cover -
Global 2020 Forest Classification for IPCC Aboveground Biomass Tier 1 Estimates, V1
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 biomass carbon classification forest forest-biomass -
Global 3-class PALSAR-2/PALSAR Forest/Non-Forest Map
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 alos2 classification eroc forest forest-biomass -
Global 4-class 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 forest-biomass -
Global Aboveground and Belowground Biomass Carbon Density Maps
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 biomass carbon density forest forest-biomass -
Global Forest Canopy Height, 2005
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 forest forest-biomass geophysical jpl nasa -
Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m
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 forest-biomass glcf landsat-derived nasa umd -
Global Mangrove Forests Distribution, v1 (2000)
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 ciesin forest-biomass global landsat-derived mangrove -
Global map of forest types 2020
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 forest forest-biomass jrc landcover primary-forest -
Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 12KM pixel size
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 canopy forest forest-biomass gedi larse -
Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 1KM pixel size
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 canopy forest forest-biomass gedi larse -
Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 6KM pixel size
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 canopy forest forest-biomass gedi larse -
Gridded GEDI Vegetation Structure Metrics and Biomass Density, 12KM pixel size
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 canopy forest forest-biomass gedi larse -
Gridded GEDI Vegetation Structure Metrics and Biomass Density, 1KM pixel size
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 canopy forest forest-biomass gedi larse -
Gridded GEDI Vegetation Structure Metrics and Biomass Density, 6KM pixel size
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 canopy forest forest-biomass gedi larse -
Hansen Global Forest Change v1.12 (2000-2024)
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 forest-biomass geophysical landsat-derived umd -
LANDFIRE BPS (Biophysical Settings) v1.4.0
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 fire forest-biomass landfire nature-conservancy usda -
LANDFIRE ESP AK (Environmental Site Potential) v1.2.0
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 fire forest-biomass landfire nature-conservancy usda -
LANDFIRE ESP CONUS (Environmental Site Potential) v1.2.0
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 fire forest-biomass landfire nature-conservancy usda -
LANDFIRE ESP HI (Environmental Site Potential) v1.2.0
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 fire forest-biomass landfire nature-conservancy usda -
LANDFIRE EVC (Existing Vegetation Cover) v1.4.0
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 fire forest-biomass landfire nature-conservancy usda -
LANDFIRE EVH (Existing Vegetation Height) v1.4.0
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 fire forest-biomass landfire nature-conservancy usda -
LANDFIRE EVT (Existing Vegetation Type) v1.4.0
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 fire forest-biomass landfire nature-conservancy usda -
Landsat-derived forest age for Canada 2019
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 forest forest-biomass -
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 -
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 -
Primary Humid Tropical Forests
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 forest-biomass global landsat-derived umd -
SCANFI: the Spatialized CAnadian National Forest Inventory data product1.2
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 forest forest-biomass publisher-dataset tree-cover -
USFS TreeMap v2016 (Conterminous United States)
This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the continental United States in 2016. TreeMap v2016 contains one image, a … biomass carbon climate-change conus forest forest-biomass -
USFS TreeMap v2020
This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the United States in 2020. TreeMap v2020 contains 22-band 30 x 30m … aboveground biomass carbon climate-change conus forest -
USFS TreeMap v2022
This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the United States in 2022. TreeMap v2022 contains 22-band 30 x 30m … aboveground biomass carbon climate-change conus forest -
WCMC Above and Below Ground Biomass Carbon Density
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 carbon forest-biomass wcmc -
WHRC Pantropical National Level Carbon Stock Dataset
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 biomass carbon forest-biomass geophysical umd -
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