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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.

News

New Landsat Science Team Presolicitation Notice

New Landsat Science Team Presolicitation Notice

Indian Scientist Exchanges Ideas, Makes Connections at EROS

Indian Scientist Exchanges Ideas, Makes Connections at EROS

New Application Informs Users About Reprocessed Landsat Products

New Application Informs Users About Reprocessed Landsat Products

Publications

ECCOE Landsat quarterly Calibration and Validation report—Quarter 1, 2024

Executive Summary The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Tea

Authors
Md Obaidul Haque, Md Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Jerad L. Shaw, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Jeffrey Clauson, Kurt Thome, Julia Barsi, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding

Mitigating disparate elevation differences between adjacent topobathymetric data models using binary code

Integrating coastal topographic and bathymetric data for creating regional seamless topobathymetric digital elevation models of the land/water interface presents a complex challenge due to the spatial and temporal gaps in data acquisitions. The Coastal National Elevation Database (CoNED) Applications Project develops topographic (land elevation) and bathymetric (water depth) regional scale digital
Authors
William M. Cushing, Dean J. Tyler

Ranking of 10 global one-arc-second DEMs reveals limitations in terrain morphology representation

At least 10 global digital elevation models (DEMs) at one-arc-second resolution now cover Earth. Comparing derived grids, like slope or curvature, preserves surface spatial relationships, and can be more important than just elevation values. Such comparisons provide more nuanced DEM rankings than just elevation root mean square error (RMSE) for a small number of points. We present three new compar
Authors
Peter L. Guth, Sebastiano Trevisani, Carlos H. Grohmann, John Lindsay, Dean B. Gesch, Laurence Hawker, Conrad Bielski

Science

Eyes on Earth Episode 124 – Mapping Fires in Utah

Studying forests means studying fire. Utah’s unique landscapes call for a unique dataset for forest management.
link

Eyes on Earth Episode 124 – Mapping Fires in Utah

Studying forests means studying fire. Utah’s unique landscapes call for a unique dataset for forest management.
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Annual NLCD Land Cover Confidence

Notice to users: The Annual NLCD product release is planned for late October 2024. At that time further content, such as product documentation and full access to data products, will become available and referenced from this site.
link

Annual NLCD Land Cover Confidence

Notice to users: The Annual NLCD product release is planned for late October 2024. At that time further content, such as product documentation and full access to data products, will become available and referenced from this site.
Learn More

Annual NLCD Science Product User Guide

Notice to users: The Annual NLCD product release is planned for late October 2024. At that time further content, such as product documentation and full access to data products, will become available and referenced from this site.
link

Annual NLCD Science Product User Guide

Notice to users: The Annual NLCD product release is planned for late October 2024. At that time further content, such as product documentation and full access to data products, will become available and referenced from this site.
Learn More
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