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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: 95

Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.0 Annual Land Cover and Land Cover Change Validation Tables (2000-2019) for Hawaii

A validation assessment of Land Cover Monitoring, Assessment, and Projection annual land cover products (2000-2019) for Hawaii 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 (2000-2019) to a reference sample of 600 Landsat resolution (30m x 30m) pixels. The interpreted lan

Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 3.0, August 2020)

We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in selected metropolitan areas in the United States by using Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature and change from 1985 to the current. These data were used to calculate the tempera

Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022)

These datasets provide early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on July 1 using satellite observation data available until June 28th. In previous releases, we developed and released one general EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but also included number of other species, i.e., Bromus arvensis L., Bromus briziformis, Brom

Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.2 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 1.2 annual land cover products (1985-2018) 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 (1984-2018) to a reference sample of 26,971 Landsat resolutio

Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species and Sandberg bluegrass in the Sagebrush Biome, USA, 2016 - 2020

These datasets provide historical estimates of fractional cover for some specific exotic annual grasses (EAG) species and a native perennial bunch grass for 2016 - 2020. Four specific fractional cover maps per year along with corresponding confidence maps are included in this release. The maps include; 1) Exotic annual grasses (EAG) fractional cover map that includes cheatgrass (Bromus tectrorum)

Coastal Carolinas Topobathymetric Model: Field Validation Data, 2021

U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy surveying technologies. The work was initiated as an effort to validate a topobathymetric digital elevation model (TBDEM) produced for the area that was directly impacted by Hurricane Florence in 2018. Th

Central South Dakota Airborne Lidar Validation - Field Survey Data

U.S. Geological Survey (USGS) scientists conducted field data collection efforts during the time periods of April 25 - 26, 2017, October 24 - 28, 2017, and July 25 - 26, 2018, using a combination of surveying technologies to map and validate topography, structures, and other features at five sites in central South Dakota. The five sites included the Chamberlain Explorers Athletic Complex and the C

LCMAP Hawaii Reference Data Product land cover, land use and change process attributes

The LCMAP Hawaii Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products for Hawaii. The LCMAP Hawaii Reference Data Product includes the collection of an independent dataset of 600 30-meter by 30-meter plots across Hawaii. This dataset was collected via manual image interpretation

LCMAP CONUS Intensification Reference Data Product 1984–2019 land cover, land use and change process attributes

The LCMAP Intensification Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products. The LCMAP Intensification Reference Data Product includes the collection of an independent dataset of 2,000 30-meter by 30-meter plots selected via stratified random sampling across the conterminous

Conterminous United States Remote Sensing Phenology Metrics Database

Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational fashion from sat

Land Cover Assignments of 300 locations in the Pacific Northwest in 2000

Area estimates of land cover and land cover change are often based on reference class labels determined by analysts interpreting satellite imagery and aerial photography. Different interpreters may assign different reference class labels to the same sample unit. This dataset include land cover attributes for the year 2000 assigned by 7 image analysts, working independently of each other, to a set

Time series of expected livestock forage biomass in the semi-arid grasslands of the western U.S. (2000-2018)

Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage p