This $100,000 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will develop an automated, open-source pipeline that leverages artificial intelligence and machine learning (AI/ML) techniques to enhance the detection, segmentation, classification, and extraction of physical parameters from images captured by NASA's Solar Dynamics Observatory. The key objectives are to construct ML-ready datasets through automated data processing, extract and validate physical parameters, and establish a comprehensive platform to disseminate the tools and data to the broader scientific community, including academic researchers and citizen scientists. This project aims to create a fully automated pipeline that improves the efficiency, accuracy, and scalability of analyzing solar imaging data, addressing a critical gap in the availability of specialized open-source ML tools for the field of heliophysics. The award period is from February 15, 2025 to January 31, 2027.
Generated 4/1/25, 4:51 AM