Earth Resources Observation and Science (EROS) Center


At the USGS EROS Center, we study land change and produce land change data products used by researchers, resource managers, and policy makers across the nation and around the world. We also operate the Landsat satellite program with NASA, and maintain the largest civilian collection of images of the Earth’s land surface in existence, including tens of millions of satellite images. 

What's New at EROS?


Eyes on Earth is a podcast covering a range of topics on remote sensing, satellite operations, and the science of Earth observation. Watch for new episodes every two weeks.

Listen here

Image of the Week

Image of the Week

The Landsat Archive is the world’s longest continuously-collected record of the Earth’s surface. In mid-September, it notched another milestone by adding its nine millionth scene.

Landsat 9 Million


Date published: October 21, 2020

Doucette Promotes Parallels to LCMAP, Capacity Building in Talks About EarthMAP

EROS Integrated Science and Applications Branch Chief Pete Doucette has been talking to groups about the Earth Monitoring, Analyses, and Prediction initiative (EarthMAP) as part of his outreach interests, emphasizing several important themes when he does.

Date published: September 30, 2020

MoD-FIS Brings Seasonal Fine Fuels Information to Wildland Fire Management

In roughly 50 percent of New Mexico, Arizona, and west Texas, wildfires that burn across hard-baked desert landscapes need annual/invasive herbaceous and other fine fuels to drive them.

Date published: September 28, 2020

Miglarese, Radiant Earth Advocate for Benefits of Open Training Datasets

Anne Hale Miglarese has a simple mantra when it comes to gathering and using training data for remote sensing.

Collect it once, the founder of the nonprofit Radiant Earth Foundation, says. Then use it many times.


Publication Thumbnail
Year Published: 2020

A novel approach for next generation water use mapping using Landsat and Sentinel-2 satellite data

Evapotranspiration (ET) is needed in a range of applications in hydrology, climatology, ecology, and agriculture. Remote sensing-based estimation is the only viable and economical method for ET estimation over large areas. The current Landsat satellites provide images every 16 days limiting the ability to capture biophysical changes affecting...

Singh, Ramesh; Khand, Kul Bikram; Kagone, Stefanie; Schauer, Matthew ; Senay, Gabriel; Wu, Zhuoting

Publication Thumbnail
Year Published: 2020

Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing

Across the Central Valley of California, millions of wintering waterfowl rely on moist soil seed (MSS) plants that grow in managed seasonal wetlands as a critical source of food. Estimates of MSS plant production are used to set waterfowl habitat targets yet this information is not well known. We created the first Central Valley-wide time series...

Byrd, Kristin B.; Lorenz, Austen; Anderson, James; Wallace, Cynthia; Moore-O'Leary, Kara; Isola, Jennifer; Ortega, Ricardo; Reiter, Matt

Publication Thumbnail
Year Published: 2020

Harmonizing the Landsat ground reference with the Sentinel-2 Global Reference Image using space-based bundle adjustment

There is an ever-increasing need to use accurate and consistent geometric ground reference in the processing of remotely sensed data products as it reduces the burden on the end-users to account for the differences between the data products from different missions. In this regard, United States Geological Survey (USGS) initiated an effort to...

Rengarajan, Rajagopalan; Storey, James C.; Choate, Michael