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.

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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

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article

Detection of Point-Source Methane Enhancements from MethaneSAT Observations with Target-Driven Spectral Matching Algorithm

Qidan Huang, Yingqi Yan, Fei Li, Jiayi Liu et al.
1 citations
Atmospheric and Environmental Gas Dynamics
1.11
article

Detection of Point-Source Methane Enhancements from MethaneSAT Observations with Target-Driven Spectral Matching Algorithm

Qidan Huang, Yingqi Yan, Fei Li, Jiayi Liu, Shengxi Bai, Shiwei Sun, Yongguang Zhang
article en
1 citations

Abstract

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.

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
Openalex Percentile: Top 19%
Atmospheric and Environmental Gas Dynamics
1.11
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Detection of Point-Source Methane Enhancements from MethaneSAT Observations with Target-Driven Spectral Matching Algorithm — Qidan Huang, Yingqi Yan, et al. · (2025) | TGRS Research Map | TGRS