Landsat asks industry for artificial intelligence (AI) and machine learning for satellite operations
RESTON, Va. – U.S. remote sensing experts want to hear from industry on using artificial intelligence (AI) and machine learning for Landsat satellite flight operations to enhance how Landsat satellites take images of the Earth's surface.
Officials of the U.S. Geological Survey (USGS) in Reston, Va., has issued a sources-sought notice (DOIGFBO250002) for the Exploration of AI/ML for Landsat Flight Operations.
AI in flight operations
USGS is interested in applying AI and machine learning to Landsat ground control anomaly triage and telemetry trending and analysis, as well as to other areas of flight operations.
The goal is to help identify companies to assess if and how AI and machine learning can enhance decision making and operational efficiency to streamline satellite operations and improve mission reliability.
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Landsat satellites have acquired multispectral images of the land surface since the launch of Landsat 1 in 1972, USGS officials say. Four-plus decades of these data provide a unique resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research.
Important images
Landsat images also are valuable for emergency response and disaster relief. These data also support government, commercial, industrial, civilian, military, and educational communities throughout the U.S. and worldwide.
Companies interested should email 10-page statements of qualifications and capabilities no later than 13 Dec. 2024 to the USGS's Ty DeHart at [email protected].
Email questions or concerns to Ty DeHart at [email protected]. More information is online at https://www.fbodaily.com/archive/2024/11-November/15-Nov-2024/FBO-07264081.htm.
John Keller | Editor-in-Chief
John Keller is the Editor-in-Chief, Military & Aerospace Electronics Magazine--provides extensive coverage and analysis of enabling electronics and optoelectronic technologies in military, space and commercial aviation applications. John has been a member of the Military & Aerospace Electronics staff since 1989 and chief editor since 1995.
