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Data

EROS is home to the world's largest collection of remotely sensed images of the Earth’s land surface and the primary source of Landsat satellite images and data products. NASA’s Land Processes Distributed Active Archive Center (LP DAAC) is also located at EROS. Use the links below to explore and access our data holdings.

Filter Total Items: 149

Seasonal Blue Water Evapotranspiration 1986 – 2020 for the Croplands in the High Plains Aquifer Region

Estimation of irrigation water use provides essential information for the management and conservation of agricultural water resources. The blue water evapotranspiration (BWET) raster dataset at 30-meter resolution is created to estimate agricultural irrigation water consumption. The dataset contains seasonal total (1 May to 30 September) BWET time series (1986 – 2020) for the croplands across the

Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods

Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2023 reference period in conjunction with soils and topography data to

LEAP: Landsat Extended Acquisitions of the Poles Imaging Plan

Landsat Extended Acquisitions of the Poles (LEAP) imaging plan is a Landsat special request data collection program for Earth's polar regions that include Antarctica, Greenland, and Arctic sea ice geographies. The LEAP program includes Landsat 8 and Landsat 9 observatories that operationally acquire spaceborne images of all Earth's land surface and near-shore coastal environments. These images are

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in a

LANDFIRE 2022 (230) Update

The LANDFIRE (LF) 2022 Update represents another step in moving towards an annual update. This update is the first time in LANDFIRE history in which disturbances from the year before are represented in current year products. LF 2022 includes adjustments to vegetation and fuels in disturbed areas for disturbances recorded in 2021 and 2022.

Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.3 Annual Land Cover and Land Cover Change Validation Tables (1985–2021) for the Conterminous United States

A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.3 annual land cover products (1985–2021) for the Conterminous United States was conducted with an independently collected reference dataset. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984–2021) to a reference sample of 26,971 Landsat resolutio

Landsat 9 Collection 2 cloud truth mask validation set

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 9 Collection 2 images. These images were selected at random from the Landsat 9 archive from various locations around the world.  While these validation images were subjectively designed by a single analyst, they provide useful inform

Southeast Texas Pilot National Topography Model (NTM), 1933 to 2021

The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) has initiated the development of a second pilot 3D National Topography Model (3DNTM) to generate 3-dimensional surface elevation models that integrate topographic bare-earth elevation surfaces with river channel bed and coastal bathymetry and topobathymetry. Detailed knowledge of integrated river system topography, bathymetry, and topob

LCMAP CONUS Reference Data Product 1984-2021 land cover, land use and change process attributes

This product contains LCMAP CONUS Reference plot location data in a .shp format as well as annual land cover, land use, and change process variables for each reference data plot in a separate .csv table. The same information available in the.csv file is also provided in a .xlsx format. The LCMAP Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assess

ECCOE 2021 Surface Reflectance Validation Dataset

Scientists and engineers from the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) Cal/Val Center of Excellence (ECCOE) collected in situ measurements using field spectrometers to support the validation of surface reflectance products derived from Earth observing remote sensing imagery. Data provided in this data release were collected during selected Earth obser

Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods

Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m res

Rainfed and Irrigated Cropland Areas for Africa

Agriculture consumes the largest share of freshwater globally, therefore, distinguishing between rainfed and irrigated croplands is essential for agricultural water management and food security. Yet in Africa, disaggregating croplands is challenging due to the continent's vast size, diverse climates, and varied agricultural practices. In this study, a framework using the Budyko model was applied t