USGS Partners with AI/ML Experts to Improve Landsat Flight Operations
The U.S. Geological Survey Technology Transfer Office has entered into three Cooperative Research & Development Agreements (CRADAs) aimed at advancing Artificial Intelligence (AI) applications and Machine Learning (ML) methods to optimize Landsat Missions Flight Operations.
Partnering with a.i. solutions, Inc., KBR, and Parsons will allow the USGS Flight Operations Team to build upon processes they already use while exploring more effective ways to monitor and manage the Earth observing Landsat satellites as they move nearly 17,000 mph in an orbit 438 miles above the planet.
Initial areas of focus include optimizing satellite anomaly triage and improving telemetry trending and analysis. Research is underway with telemetry data libraries from Landsat 8 and Landsat 9.
This agreement stems from the December 2024 Sources Sought Notice in which the USGS requests expertise to explore ways to optimize satellite flight operations for future Landsat missions using AI/ML.
Updates to this research agreement will be posted when deemed appropriate by both parties of the agreement.
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USGS Seeks Input on AI/ML Methods for Improving Landsat Flight Operations USGS Seeks Input on AI/ML Methods for Improving Landsat Flight Operations
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