Detection of Point-Source Methane Enhancements from MethaneSAT Observations with Target-Driven Spectral Matching Algorithm
Methane is a potent greenhouse gas with large emissions often arising from localized point sources in industrial facilities. MethaneSAT, launched in 2024, observes the 1598-1683 nm band with sub-nanometer resolution and 100 m × 400 m footprints, enabling sensitive detection of methane absorption. We introduce an updated matched filter (BCMF) with covariance exclusion and a statistical correction for linearization bias. Simulations and retrievals show that BCMF removes a ∼20% underestimation, yielding unbiased enhancements. Across multiple emission scenarios, 19 plumes were detected and cross-section emission flux estimates agree with MethaneSAT proxy products (r=0.965, MAPE = 20.3%, n=16). These results demonstrate BCMF as a fast, robust approach for quantifying methane emissions with next-generation high-resolution satellite sensors.
Authors
- Qidan Huang (ORCID: https://orcid.org/0000-0002-5158-1517)
- Yingqi Yan
- Fei Li (ORCID: https://orcid.org/0000-0001-6457-321X)
- Jiayi Liu (ORCID: https://orcid.org/0000-0002-4077-8234)
- Shengxi Bai
- Shiwei Sun
- Yongguang Zhang (ORCID: https://orcid.org/0000-0001-8286-300X)
Publication Details
- Published
- 2025-09-29
- DOI
- https://doi.org/10.31223/x5415w
- Citations
- 1
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- National Science Foundation
- Environmental Defense Fund
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities