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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: 152

Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1

This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonic

Ecological Potential Fractional Component Cover Based on Long-Term Satellite Observations Across the Western United States

Rangelands have immense inherent spatial and temporal variability, yet assessments of land condition and trends are often assessed relative to the condition of a limited number of representative points. Ecological Potential (EP) data are spatially comprehensive, quantitative, and needed as a baseline for comparison of current rangeland vegetation conditions, trends, and management targets. We defi

Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.1 Annual Land Cover and Land Cover Change Validation Tables (1985-2018) for the Conterminous United States

A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.1 annual land cover products (1985-2019) for the Conterminous United States was conducted with an independently collected reference data set. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984-2018) to a reference sample of 24,971 randomly-selecte

Long-term database of historical, current, and future land cover for the Delaware River Basin (1680 through 2100)

The USGS's FORE-SCE model was used to produce a long-term landscape dataset for the Delaware River Basin (DRB). Using historical landscape reconstruction and scenario-based future projections, the data provided land-use and land-cover (LULC) data for the DRB from year 1680 through 2100, with future projections from 2020-2100 modeled for 7 different socioeconomic-based scenarios, and 3 climate real

Pilot Topobathymetric Terrain Model of the Kootenai River near Bonners Ferry, Idaho, 2009 - 2019

The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) has started to initiate the development of pilot 3D National Topography Models to generate 3-dimensional surface elevation models that integrate river topographic bare-earth elevation surfaces with channel bed bathymetry. Detailed knowledge of integrated river system topography, bathymetry, and topobathymetry, is essential for habitat r

Pohnpei, Federated States of Micronesia Mangrove Elevation Survey Data

U.S. Geological Survey (USGS) scientists conducted field work efforts during February 15-23, 2017 and April 10-25, 2019 in the mangrove forests of Pohnpei, Federated States of Micronesia (FSM) with logistical assistance from the Micronesia Conservation Trust (MCT) and field assistance from the Conservation Society of Pohnpei and the Pohnpei Department of Forestry. The field team combined the surve

Kootenai River Topobathymetric Lidar Validation Survey Data

U.S. Geological Survey (USGS) scientists conducted field data collection efforts during the week of September 25 - 29, 2017, using a combination of conventional surveying technologies, for a large stretch of the Kootenai River near Bonners Ferry, Idaho. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data. The goal was to co

Soil properties dataset in the United States

The dataset consists of three raster GeoTIFF files describing the following soil properties in the US: available water capacity, field capacity, and soil porosity. The input data were obtained from the gridded National Soil Survey Geographic (gNATSGO) Database and the Gridded Soil Survey Geographic (gSSURGO) Database with Soil Data Development tools provided by the Natural Resources Conservation S

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 7.0, January 2024)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S

Using Targeted Training Data to Develop Site Potential for the Upper Colorado River Basin from 2000 - 2018

Defining site potential for an area establishes its possible long-term vegetation growth productivity in a relatively undisturbed state, providing a realistic reference point for ecosystem performance. Modeling and mapping site potential helps to measure and identify naturally occurring variations on the landscape as opposed to variations caused by land management activities or disturbances (Rigge

National Land Cover Database (NLCD) 2016 Products (ver. 3.0, November 2023)

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation�s land cover and land cover change. To continue the legacy of NLCD and further establish a long-ter

Topobathymetric Model of Northern California, 1986 to 2019

To support the modeling of storm-induced flooding, the USGS Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Northern California Coast. High-resolution coastal elevation data is required to identify flood, hurricane, and sea-level rise inundation hazard zones and other earth science applicatio