4 papers
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…
Mitigating representation bias caused by missing pixels in methane plume detection
Julia Wąsala, 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…
Satellite monitoring of annual US landfill methane emissions and trends
Nicholas Balasus, Daniel J. Jacob, Gabriel Maxemin +7
We use satellite observations of atmospheric methane from the TROPOMI instrument to estimate total annual methane emissions for 2019-2023 from four large Southeast US landfills wit…
Methane Emissions from Super-emitting Coal Mines in Australia quantified using TROPOMI Satellite Observations
Pankaj Sadavarte, Sudhanshu Pandey, Joannes D. Maasakkers +5
Two years of satellite observations were used to quantify methane emission from coal mines in Queensland, the largest coal-producing state in Australia. The six analyzed surface an…