USGS Corrected Landsat Data After Processing Errors
The USGS finished reprocessing thousands of Landsat satellite products to fix brightness and solar angle errors.
Updated on Sept. 29, 2026 in Geography
The U.S. Geological Survey has completed the reprocessing of thousands of Landsat 2 and Landsat 3 Multispectral Sensor (MSS) products. This effort corrected inaccurate pixel brightness values and software bugs that hindered satellite image data quality.
Why it matters
Accurate sensor data is essential for maintaining reliable historical environmental records. Correcting these anomalies ensures that the global user community can access high-quality products for research and land-use analysis.
Technicians reprocessed 44,000 MSS products to address gain and offset errors in Band 4 and Band 5. Additionally, the team fixed a solar elevation angle bug that previously caused 27,000 pixels to be erroneously labeled as cloud in 1,700 scenes.
The players
USGS
The United States Geological Survey is a federal scientific agency that monitors landscapes and natural resources.
The details
The agency moved these items into the Collection 2 archive using updated generation processes for solar elevation angles and corrected gain values. These refined products are now available through USGS data portals and commercial cloud environments.
Timeline
Brightness value errors were discovered in early 2025.
Incorrect product processing was reported in April 2025.
Reprocessing of all products was completed in September 2026.
The Landsat Reprocessing Events webpage will be updated after October 1, 2026.
The Big Picture
This correction represents a technical recalibration within the broader effort to maintain the USGS Landsat Collection 2 archive. Such updates are necessary to align legacy sensor data with modern standards, ensuring the consistency of longitudinal remote sensing research.
Researchers and users relying on Landsat MSS imagery should replace older files with the updated versions from the Collection 2 archive. This ensures that downstream analysis, such as cloud masking and land cover classification, remains accurate.
The takeaway
Reliable environmental monitoring depends on the ongoing maintenance and technical correction of massive satellite archives. Users should verify that their datasets are derived from the most recent, validated product collections.
Further reading
Learn more about how geospatial data is managed across the United States Geography section.
Source note: This article includes information reported by USGS.
