130 datasets

NASA Earthdata CMR2026 · Raster · COG

The Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-and-water-security-support-analysis)) project provides global cropland datasets to help address food and water security challenges of the twenty-first century. The project develops multiple cropland products using time series of Landsat and Sentinel-2 satellite

NASA Earthdata CMR + NASA Data Portal2026 · Image data

This data set is a compilation of ice velocity mappings for all terrestrial permanent ice larger than 5 km squared within the latitude range 82°S to 82°N, generated from pairs of Landsat 8 panchromatic images acquired between May 2013 and May 2021. The data are updated monthly with new Landsat 8 images that are paired with older images acquired within 400 days of the new acquisition for the Antarc

NASA Earthdata CMR + NASA Data Portal2026 · Image data

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. The ECOSTRESS Tiled NDVI and Albedo Instantaneous Level 2 Global 70

NASA Earthdata CMR + NASA Data Portal2025 · Image data

This dataset provides annual aboveground biomass (AGB) maps and associated uncertainty maps for Alaska and Canada from 1984 to 2022 at ~30 m resolution (0.00027 degrees). The dataset was derived using predictors from synthetic spectral features from Landsat Collection 2 and Continuous Change Detection and Classification algorithm. Extensive collections of ground plots (n = 45,002) and airborne lid

NASA Earthdata CMR2025 · collection

The 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

This 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 CMR2025 · collection

This data set identifies the extent of supraglacial lakes (SGLs) from 1988 to 2023 on 769 of the largest debris-covered glaciers in the High Mountain Asia region. SGLs were generated via automated processing of 30 m Landsat imagery and are provided at 1-year intervals from 2004-2023, at 2-year intervals from 1992-2003, and as a single 4-year interval from 1988-1991.

NASA Earthdata CMR2025 · Array · NetCDF

This data set from the Inter-Mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project, part of NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of regionally compiled, mean annual surface velocities, plus climatological means, for major glacier-covered regions. Velocities are derived from imagery acquired by the Sentinel-1 and S

NASA Earthdata CMR + NASA Data Portal2025 · Image data

This dataset contains a 30-m resolution time series of annual land cover classifications as the dominant plant functional type class for all of boreal Alaska and Canada from 1986 to 2020. The data were derived from a time series of Landsat Collection 2 Surface Reflectance and processed using the Continuous Change Detection and Classification (CCDC) algorithm. This dataset includes a nine-class lan

NASA Earthdata CMR2025 · Raster · GeoTIFF

This data set consists of velocity maps and error estimates for five surge-type glaciers: Nàłùdäy/Lowell Glacier, Canada; Medvezhiy Glacier, the Pamir mountains; South Rimo Glacier, the Karakoram; Sít' Kusá Glacier, Alaska; and Aavatsmarkbreen Glacier, Spitsbergen, Svalbard. The maps are generated using CautoRIFT, a pipeline that improves temporal coverage during periods of rapid glacier motion by

NASA Earthdata CMR + NASA Data Portal2025 · Image data

The Harmonized Landsat and Sentinel-2 (HLS) project provides consistent data products from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites and the Multi-Spectral Instrument (MSI) aboard Europe’s Copernicus Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites. The combined measurement enables global observations of the land every 1.6 days at 30 meter

NASA Earthdata CMR2025 · collection

This is a land cover classification map of Brazilian Cerrado, from August 2017 to August 2018. This classification was made on top of Landsat-8 monthly cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 - OLI - Cube Stack 16 days - v001

NASA Earthdata CMR2025 · collection

This is a land cover classification map of Brazilian Pantanal, from January to December of 2018. This classification was made on top of Landsat-8 days data cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 (OLI) Cube Identity - v001, w

NASA Earthdata CMR2025 · collection

This is a land cover classification map of Brazilian Cerrado, from August 29th 2017 to August 29th 2018. This classification was made on top of Landsat-8 days data cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 - OLI - Cube Stack 16

NASA Earthdata CMR2024 · collection

This is a land cover classification map of Brazilian Amazon, from January to December of 2018. This classification was made on top of Landsat-8 biweekly cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 - OLI - Cube Stack 16 days - v00

NASA Earthdata CMR2024 · collection

This is a land cover classification map of Brazilian Mata Atlantica, from January to December of 2017. This classification was made on top of Landsat-8 days data cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 - OLI - Cube Stack 16 d

NASA Earthdata CMR2024 · collection

This is a land cover classification map of Brazilian Caatinga, from January to December of 2017. This classification was made on top of Landsat-8 16 days data cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 - OLI - Cube Stack 16 days

NASA Earthdata CMR2024 · collection

This land cover classification refers to a study area in Bahia state, in the Cerrado biome. For this map, the Landsat-8 monthly data cube was used, with a spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. This experiment uses the time series of an agricultural calendar year, fro

NASA Earthdata CMR2024 · collection

This is a land cover classification map of Brazilian Pampa, from January to December of 2017. This classification was made on top of Landsat-8 days data cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 - OLI - Cube Stack 16 days - v00

NASA Earthdata CMR + NASA Data Portal2024 · Image data

The Landsat-derived Global Rainfed and Irrigated-Cropland Product Level 3 2020 (LGRIP30_L3) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-

NASA Earthdata CMR + NASA Data Portal2024 · Image data

The Landsat-Derived Global Irrigated-Cropland Product Level 1 2020 (LGRIP30_L1_IRRI) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-securit

NASA Earthdata CMR + NASA Data Portal2024 · Image data

The Landsat-Derived Global Rainfed-Cropland Product Level 2 2020 (LGRIP30_L2_RAIN) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-security-

NASA Earthdata CMR + NASA Data Portal2024 · Image data

The Landsat-Derived Global Rainfed-Cropland Product Level 1 2020 (LGRIP30_L1_RAIN) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-security-

NASA Earthdata CMR + NASA Data Portal2024 · Image data

The Landsat-Derived Global Irrigated-Cropland Product Level 2 2020 (LGRIP30_L2_IRRI) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-securit

NASA Earthdata CMR2024 · collection

Earth 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