3 papers
cs.CV2026
Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing
Manuel Pérez-Carrasco, Maya Nasr, Zhan Zhang +16
Automated detection and masking of individual methane plumes from satellite imagery is important for operational emission attribution and quantification. We present a machine learn…
physics.ao-ph2026
Mapping ammonia emission plumes using shortwave infrared imaging spectroscopy
Nicholas Balasus, Daniel H. Cusworth, Jinsol Kim +3
Atmospheric ammonia emissions are harmful to ecosystems and human health. These emissions have traditionally been monitored using thermal infrared spectrometers, though such techni…
physics.ao-ph2025
Quantifying urban and landfill methane emissions in the United States using TROPOMI satellite data
Xiaolin Wang, Daniel J. Jacob, Hannah Nesser +8
Urban areas are major sources of methane due to population needs for landfills, natural gas distribution, wastewater treatment, and residential combustion. Here we apply an inversi…