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Cote d'Ivoire BNETD 2020 Land Cover Map
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 deforestation forest landcover -
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 proximate people (FPP) 1.0
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 fao forest global population rural-area -
Tree proximate people (TPP) 1.0
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 fao forest global population rural-area -
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 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 table -
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 jaxa -
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 jaxa -
EC JRC global map of forest cover 2020, V1
The EC JRC 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 … eudr forest jrc -
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 jrc landcover -
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 gedi larse lidar -
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 gedi larse lidar -
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 gedi larse lidar -
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 gedi larse lidar -
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 gedi larse lidar -
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 gedi larse lidar -
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 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 glcf landsat-derived nasa umd -
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 nasa -
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 global landsat-derived umd -
Hansen Global Forest Change v1.11 (2000-2023)
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 geophysical landsat-derived umd -
USFS Landscape Change Monitoring System v2023.9 (CONUS and OCONUS)
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 that covers the Conterminous United States (CONUS) and areas outside the CONUS (OCONUS) that include Southeastern Alaska (SEAK), Puerto … change-detection forest gtac landcover landsat landuse -
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 -
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 gtac -
USFS Tree Canopy Cover v2021-4 (CONUS and OCONUS)
This product is part of the Tree Canopy Cover (TCC) data suite. It includes modeled TCC, standard error (SE), and National Land Cover Database's (NLCD) TCC data for each year. TCC data produced by the the United States Department of Agriculture, Forest Service (USFS) are … forest gtac landsat-derived redcastle-resources sentinel2-derived time-series -
FORMA Alerts
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 forma gfw modis -
FORMA Raw Output FIRMS
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 forma gfw modis -
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 forma gfw modis -
FORMA Alert Thresholds
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 forma gfw modis -
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 forma gfw modis -
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,[],[[["Google Earth Engine hosts a variety of forest-related datasets covering forest cover, structure, biomass, disturbances, and related populations."],["These datasets provide global and regional information, including forest extent, change, height, biomass, age, and proximity to human populations."],["Datasets utilize various remote sensing technologies like Landsat, MODIS, PALSAR, and GEDI, originating from sources such as government agencies, research institutions, and international organizations."],["While FORMA alerts have been discontinued in favor of Terra-i and GLAD, NEON and NICFI datasets offer valuable data for forest structure analysis and tropical forest monitoring."],["The datasets support research, conservation, and monitoring efforts related to forests and deforestation."]]],[]]