The National Oceanic and Atmospheric Administration (NOAA) has launched the final satellite of the Geostationary Operational Environmental Satellites (GOES)-R program. The GOES-U satellite aims to provide advanced weather observation and environmental monitoring for the Western hemisphere. These satellites, starting from the first launch in 2016, have improved weather prediction, tracked severe weather events, and provided valuable data for various purposes such as wildfire prevention, air quality monitoring, and aviation planning. The program has also utilized artificial intelligence and machine learning, specifically the Advanced Intelligent Monitoring System (AIMS), to extend the mission life of the satellites and improve operational efficiency.

AIMS quickly analyzes the vast amount of data collected by the satellites and identifies anomalies, allowing maintenance teams to take prompt actions and minimize downtime. The system has been successful in monitoring the GOES-R satellites' primary imaging instrument and has the potential to be used in other applications. The use of AI in a program that has contributed to the protection of lives in the Western hemisphere demonstrates the beneficial role of technology in serving humanity. Zhenping Li, an engineer fellow at ASRC Federal, with extensive experience in the aerospace industry, has played a significant role in developing machine learning solutions for space missions and satellite data processing.