2 papers
cs.LG2026
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening
Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit +1
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 de…
cs.CV2025
Mitigating representation bias caused by missing pixels in methane plume detection
Julia WÄ sala, Joannes D. Maasakkers, Ilse Aben +3
Most satellite images have systematically missing pixels (i.e., missing data not at random (MNAR)) due to factors such as clouds. If not addressed, these missing pixels can lead to…