NASA Earthdata CMR2025 · collection
Landsat 8-9 OLI/TIRS worldwide data productsThe collection Landsat 8-9 OLI/TIRS worldwide data products, accessible via the USGS EarthExplorer platform, provides global Landsat-8 and 9 Collection 2 data since mission start. Collection 2 features major improvements over Collection 1, including enhanced geolocation accuracy, radiometric calibration, metadata consistency, quality assessment, and Cloud Optimized GeoTIFF formatting. The dataset
NASA Earthdata CMR + NASA Data Portal2025 · Image data
CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019This dataset provides 20-year tree cover (TC) estimates at 30-m spatial resolution for Mexico from 2000 to 2019 using Landsat time series, airborne LiDAR, and machine learning. The TC data (hereafter, CMS-TC) offers accurate and consistent national-scale percent tree cover estimates with an overall coefficient of determination (R squared) of 0.81 and a root mean square error (RMSE) of 11.90%. The
NASA Earthdata CMR2024 · collection
Landsat Image Mosaic of São Paulo State - 6 monthsEarth Observation Data Cube generated from Landsat Level-2 product over Sao Paulo State extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 30 meters of spatial resolution, reprojected and cropped to BDC_MD grid Version 2 (BDC_MD V2), considering a temporal compositing function of 6 months using the Least Cloud Cover First (LCF) best pixe
NASA Earthdata CMR2023 · collection
Landsat Collection 2 - Level-2 - Data Cube - LCF 16 daysEarth Observation Data Cube generated from Landsat Level-2 product over Brazil extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 30 meters of spatial resolution, reprojected and cropped to BDC_MD grid Version 2 (BDC_MD V2), considering a temporal compositing function of 16 days using the Least Cloud Cover First (LCF) best pixel approach
NASA Earthdata CMR2023 · collection
Landsat Collection 2 - Level-2Landsat Collection 2 Level-2 Science Products (https://www.usgs.gov/landsat-missions/landsat-collection-2-level-2-science-products), consisting of atmospherically corrected surface reflectance (https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-reflectance) and surface temperature (https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-temperature) image data. Collectio
NASA Earthdata CMR + NASA Data Portal2022 · Image data
ABoVE: Tree Canopy Cover and Stand Age from Landsat, Boreal Forest Biome, 1984-2020This dataset contains Landsat-derived locally-calibrated estimates of tree canopy cover (TCC) and forest stand age across global boreal forests from 1984-2020 in Cloud-Optimized GeoTIFF (*.tif) format. These raster data span the circum-hemispheric boreal forest biome between 47 to 73 degrees north at 30 m resolution. Machine learning models calibrated with data from the World Reference System 2 we
NASA Earthdata CMR + NASA Data Portal2022 · Image data
ABoVE: Burned Area, Depth, and Combustion for Alaska and Canada, 2001-2019This dataset provides annual gridded estimates of fire locations and associated burn fraction per pixel for Alaska and Canada at approximately 500 m spatial resolution for the period 2001-2019. Gridded predictions of carbon combustion and burn depth for the same period within the ABoVE extended domain using the burn area maps and field data are also available. Fire locations and date of burn (DOB)
NASA Earthdata CMR + NASA Data Portal2022 · Image data
ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019This dataset provides information on interannual trends in annual maximum vegetation greenness from 1985 to 2019 for recently undisturbed areas in the boreal forest biome. Multi-decadal changes in remotely sensed vegetation greenness provide evidence of an emerging boreal biome shift driven by climate warming. Annual maximum vegetation greenness was assessed at about 100,000 random sample location
NASA Earthdata CMR2020 · Raster · GeoTIFF
Landsat Level-2 Surface Temperature Collection 2Landsat Level-2 Surface Temperature Collection 2 products contain atmospherically compensated surface temperature data derived from Level-1 thermal infrared data. It is available for the Landsat 4–9 missions, spanning the period from 1982 to present. These data offer consistent and continuous measurements of Earth's surface temperature across diverse landscapes to support long-term environmental s
NASA Earthdata CMR2020 · Raster · GeoTIFF
Landsat Level-1 Collection 2The Landsat Level-1 Collection 2 products, produced by the U.S. Geological Survey (USGS), provide high-quality, calibrated, and georeferenced satellite data that support a wide range of remote sensing applications. This dataset encompasses multispectral data captured by the Landsat 1-9 missions, spanning the period from 1972 to present and offers consistent and accurate measurements of Earth's lan
NASA Earthdata CMR2020 · Raster · GeoTIFF
Landsat Level-2 Surface Reflectance Collection 2Landsat Level-2 Surface Reflectance Collection 2 products contain atmospherically corrected spectral reflectance data derived from Level-1 products and are available for the Landsat 4–9 missions, spanning the period from 1982 to present. These data offer consistent and continuous measurements of Earth's surface reflectance to support long-term environmental studies. Comprehensive quality assessmen
NASA Earthdata CMR2020 · collection
High Mountain Asia Near-Global Multi-Decadal Glacial Lake Inventory V001This data set contains polygons of glacial lake extent on a near-global scale, averaged over five multi-year periods between 1990 and 2018.
NASA Earthdata CMR + NASA Data Portal2020 · Image data
ABoVE: Burn Severity of Soil Organic Matter, Northwest Territories, Canada, 2014-2015This dataset provides maps at 30-m resolution of landscape surface burn severity (surface litter and soil organic layers) from the 2014-2015 fires in the Northwest Territories and Northern Alberta, Canada. The maps were derived from Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) imagery and two separate multiple linear regression models trained with field data; one for the Pl
NASA Earthdata CMR2019 · collection
ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Calving Front Locations, v3.0The data set provides calving front locations of 28 major outlet glaciers of the Greenland Ice Sheet, produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. The Calving Front Location (CFL) of outlet glaciers from ice sheets is a basic parameter for ice dynamic modelling, for computing the mass fluxes at the calving gate, and for mapping glacier area change. The c
NASA Earthdata CMR2018 · collection
Infrared building surface temperature, collected in the field with a thermal imaging cameraThese images are infrared thermal images of points in and around Casey station. Thermal images were taken using a Testo 881 Thermal Imaging Camera. The thermal imaging camera records infrared radiation of a particular area. These radiation values are then translated on the camera into apparent temperature by calculating the temperature using the heat transfer equation q=sigma epsilon T4, where q i
NASA Earthdata CMR2014 · Raster · GeoTIFF
GFOI_Borneo_IslandThe Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to:foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observatio
NASA Earthdata CMR2014 · collection
USGS Global Forest Observations Initiative (GFOI) REPUBLIC OF THE CONGOThe Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to: foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilizing observati
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) AlgeriaThe objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of co-ordinating existing institutions, organised communities, space agencies, in-situ monitoring agencies, scientific institutions, research centres, universities, modelling centres,
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) RussiaThe objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of co-ordinating existing institutions, organized communities, space agencies, in-situ monitoring agencies, scientific institutions, research centres, universities, modelling centres,
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Global Forest Observations Initiative (GFOI) HondurasThe Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to: foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observati
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Global Forest Observations Initiative (GFOI) PhilippinesThe Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to: foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observati
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Global Forest Observations Initiative (GFOI) ZambiaThe Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to: foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observati
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Global Forest Observations Initiative (GFOI) LaosThe Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to: foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observati
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Global Forest Observations Initiative (GFOI) BoliviaThe Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to: foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observati
NASA Earthdata CMR2013 · Raster · GeoTIFF
USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) AustraliaThe objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of co-ordinating existing institutions, organised communities, space agencies, in-situ monitoring agencies, scientific institutions, research centres, universities, modelling centres,