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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 land managers, researchers, 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

Upcoming processing to adjust framing on some Landsat 8 scenes

Latest in Landsat June 2025 - Vol. 4 | Issue 5

End of an Era: Landsat 7 Decommissioned After 25 Years of Earth Observation

Publications

Resiliency of land change monitoring efforts to input data resampling Resiliency of land change monitoring efforts to input data resampling

The geometric transformation of remotely sensed imagery from one map projection to another necessitates a data resampling operation which alters the recorded values. The global Landsat archive is made available in the Universal Transverse Mercator (UTM) projection system which preserves geographic shape across small area but introduces small errors in distance and area. As remote sensing...
Authors
Nathan C. Healey, Christopher Barber, Kelcy Smith, Rohan Mital, Jesslyn F. Brown, Charles Robison

Validation of the geometric accuracy of airborne light detection and ranging data for eastern Iowa, 2019 Validation of the geometric accuracy of airborne light detection and ranging data for eastern Iowa, 2019

A geometric accuracy assessment of lidar data collected in eastern Iowa in 2019 as part of the 3D Elevation Program (3DEP) was conducted. The assessment involved evaluating interswath accuracy, same surface precision, point density, absolute accuracy, and consistency with adjacent 3DEP datasets. The results demonstrate that the data meet or exceed the quality level 2 specifications...
Authors
Aparajithan Sampath, Jeffrey Irwin, Travis Kropuenske

Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets

Landsat Analysis Ready Data (ARD)-based time-series present challenges in monitoring surface urban heat islands (SUHI) due to rapid changes in land surface temperature (LST) compared to cloud-free satellite observations. This research investigates the use of a spatiotemporal gap-filling model as a feasible and cost-effective solution to produce Landsat time-series LST products with both...
Authors
Hua Shi, George Z. Xian

Science

Eyes on Earth Episode 135 – Exotic Annual Grasses and Sheep Grazing

Eyes on Earth Episode 135 – Exotic Annual Grasses and Sheep Grazing

Invasive grasses are degrading sagebrush in western states. Can sheep help us restore these ecosystems?
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Eyes on Earth Episode 134 – Data Accuracy: The Calibration and Validation of Landsat

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

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
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