Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening

ArXi:2605.27236v1 Announce Type: new Continuous and global detection of large methane emissions is a crucial step for global warming mitigation. Satellite observations, such as from S5P/TROPOMI, combined with plume detection algorithms, can play a key role in this effort. However, not all TROPOMI plume detections that look like methane emission plumes are the result of actual emissions. A significant part of the plume-like features in the data are retrieval artifacts.