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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

Landsat MSS products with inaccurate brightness values to be reprocessed

Landsat MSS products with inaccurate brightness values to be reprocessed

Landsat at Work: A Path to Better Wireless Communication

Landsat at Work: A Path to Better Wireless Communication

AI Improving USGS Science and Efficiency

AI Improving USGS Science and Efficiency

Publications

System characterization report on Resourcesat-2A Advanced Wide Field Sensor

Executive Summary This report documents the system characterization of the Indian Space Research Organisation Resourcesat-2A Advanced Wide Field Sensor (AWiFS) and is part of a series of system characterization reports produced by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports describe the methodology and procedures used for...
Authors
Mahesh Shrestha, Minsu Kim, Aparajithan Sampath, Jeffrey Clauson

HarvestStat Africa – Harmonized subnational crop statistics for sub-Saharan Africa

Sub-Saharan Africa (SSA) faces severe agricultural data scarcity amidst high food insecurity and a large agricultural yield gap, making crop production data crucial for understanding and enhancing food systems. To address this gap, HarvestStat Africa presents the largest compilation of open-access subnational crop statistics and time-series across SSA. Based on agricultural statistics...
Authors
Donghoon Lee, Weston Anderson, Xuan Chen, Frank Davenport, Shraddhanand Shukla, Ritvik Sahajpal, Michael Budde, James Rowland, James Verdin, Liangzhi You, Matthieu Ahouangbenon, Kyle Frankel Davis, Endalkachew Kebede, Steffen Ehrmann, Christina Justice, Carsten Meyer

System characterization report on Resourcesat-2A Linear Imaging Self Scanning-3 sensor

Executive Summary This report addresses system characterization of the Indian Space Research Organisation Resourcesat-2A Linear Imaging Self Scanning-3 sensor and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence since 2021. These reports present and detail the...
Authors
Seonkyung Park, Mahesh Shrestha, Minsu Kim, Aparajithan Sampath, Jeffrey Clauson

Science

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Eyes on Earth Episode 134 – Data Accuracy: The Calibration and Validation of Landsat

Researchers and other satellite programs rely on the scientifically correct data from Landsat—every pixel and every spectral band that is measured.
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USGS EROS Archive - Landsat Legacy - Landsat 4-8 C1 U.S. ARD Sample

Landsat Collection 1 Legacy Samples preserve a selection of data from the first Landsat Collection. These samples provide essential benchmarks for researchers, ensuring historical data remains available for comparison and can be used to evaluate quality improvements across collections.
link

USGS EROS Archive - Landsat Legacy - Landsat 4-8 C1 U.S. ARD Sample

Landsat Collection 1 Legacy Samples preserve a selection of data from the first Landsat Collection. These samples provide essential benchmarks for researchers, ensuring historical data remains available for comparison and can be used to evaluate quality improvements across collections.
Learn More

USGS EROS Archive - Landsat Legacy - Landsat 1-5 MSS C1 L1 Sample

Landsat Collection 1 Legacy Samples preserve a selection of data from the first Landsat Collection. These samples provide essential benchmarks for researchers, ensuring historical data remains available for comparison and can be used to evaluate quality improvements across collections.
link

USGS EROS Archive - Landsat Legacy - Landsat 1-5 MSS C1 L1 Sample

Landsat Collection 1 Legacy Samples preserve a selection of data from the first Landsat Collection. These samples provide essential benchmarks for researchers, ensuring historical data remains available for comparison and can be used to evaluate quality improvements across collections.
Learn More
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