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

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 Archive

LP DAAC

LP 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
Filter Total Items: 269
Date published: April 13, 2021

Fire Danger GACC Regional Forecast Graphs

The GACC Regional Forecast Graphs provide a look at the most recent fire risk outlook in comparison to historical information.

Date published: April 13, 2021

Fire Danger OGC Services

Fire Danger map services are available as Open Geospatial Consortium (OGC) Web Map Service (WMS) services.

Date published: April 13, 2021

Fire Danger Map and Data Products

The Map and Data Products page offers bulk download of the Fire Danger Forecast data suite.

Date published: February 11, 2021

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.

Date published: February 5, 2021

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.

Date published: January 25, 2021

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...

Date published: December 30, 2020

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...

Date published: November 12, 2020

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...

Date published: August 20, 2020

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

Date published: August 20, 2020

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

Date published: August 20, 2020

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

Date published: August 20, 2020

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