Earth Resources Observation and Science (EROS) Center
Data and Tools
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.
EROS Data Archive
Explore the EROS collection. Find satellite images and data, aerial photography, elevation and land cover datasets, digitized maps, and our Image Gallery collections.
Explore the ArchiveLP DAAC
The Land Processes Distributed Active Archive Center (LP DAAC) is one of several discipline-specific data centers within the NASA Earth Observing System Data and Information System (EOSDIS). The LP DAAC is located at EROS.
Access the DAAC
Projections of Rangeland Fractional Component Cover Across the Sagebrush Biome 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 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...
Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Atlanta, GA from 1985-2018 (version 2.0)
We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Atlanta, GA and its surrounding area by using surface temperature from 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 changes from 1985 to 2018. The current study assessed UHI
Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Minneapolis, MN from 1985-2018 (version 2.0)
We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Minneapolis, MN and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study as
Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 2.0, 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 th
Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Atlanta, GA from 1985-2018 (version 2.0)
We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Atlanta, GA and its surrounding area by using surface temperature from 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 changes from 1985 to 2018. The current study assessed UHI
Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Sioux Falls, SD from 1985-2018 (version 2.0)
We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Sioux Falls, SD and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study ass
Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Sioux Falls, SD from 1985-2018 (version 2.0)
We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Sioux Falls, SD and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study ass
Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Minneapolis, MN from 1985-2018 (version 2.0)
We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Minneapolis, MN and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study as
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 sci
National Land Cover Database (NLCD) 2016 Shrubland Fractional Components for the Western U.S. (ver. 3.0, July 2020)
Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Nine shrubland ecosystem components, including percent shrub, sagebrush (Artemisia
Land Product Characterization System
The Land Product Characterization System facilitates the application of multi-satellite and in-situ data for characterization and validation of satellite-derived land-related products.
Land Change Monitoring, Assessment, and Projection (LCMAP) Version 1.0 Annual Land Cover and Land Cover Change Validation Data
A validation assessment of Land Cover Monitoring, Assessment, and Projection Version 1 annual land cover products (1985–2017) 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