Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-765-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-765-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jan 2024
Research article |
| 31 Jan 2024
| 31 Jan 2024
Single-blind test of nine methane-sensing satellite systems from three continents
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
present address: Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
Sahar H. El Abbadi
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
present address: Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
Philippine M. Burdeau
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
Zhan Zhang
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
Zhenlin Chen
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
Jeffrey S. Rutherford
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
present address: Highwood Emissions Management, Calgary, Alberta T2P 2V1, Canada
Yuanlei Chen
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
Adam R. Brandt
Department of Energy Science & Engineering, Stanford University, Stanford, California 94305, United States
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Total article views: 4,262 (including HTML, PDF, and XML)
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Total article views: 437 (including HTML, PDF, and XML)
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Cited
16 citations as recorded by crossref.
- Automatic detection of methane emissions in multispectral satellite imagery using a vision transformer B. Rouet-Leduc & C. Hulbert 10.1038/s41467-024-47754-y
- Multisatellite Data Depicts a Record-Breaking Methane Leak from a Well Blowout L. Guanter et al. 10.1021/acs.estlett.4c00399
- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al. 10.1021/acs.estlett.4c01063
- Drill tool recognition and detection with SERep-CCNet: A lightweight model approach X. Wu et al. 10.1016/j.geoen.2025.213844
- Estimating Methane Emission Durations Using Continuous Monitoring Systems W. Daniels et al. 10.1021/acs.estlett.4c00687
- Developing a ‘fit for purpose’ approach to measuring methane emissions I. Joynes et al. 10.1071/EP23067
- Comparing Continuous Methane Monitoring Technologies for High-Volume Emissions: A Single-Blind Controlled Release Study Z. Chen et al. 10.1021/acsestair.4c00015
- US oil and gas system emissions from nearly one million aerial site measurements E. Sherwin et al. 10.1038/s41586-024-07117-5
- Technological Maturity of Aircraft-Based Methane Sensing for Greenhouse Gas Mitigation S. El Abbadi et al. 10.1021/acs.est.4c02439
- A new aerial approach for quantifying and attributing methane emissions: implementation and validation J. Dooley et al. 10.5194/amt-17-5091-2024
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- Advancing oil and gas emissions assessment through large language model data extraction Z. Chen et al. 10.1016/j.egyai.2025.100481
- An Effective Quantification of Methane Point-Source Emissions with the Multi-Level Matched Filter from Hyperspectral Imagery M. Liang et al. 10.3390/rs17050843
- Intercomparison of Three Continuous Monitoring Systems on Operating Oil and Gas Sites W. Daniels et al. 10.1021/acsestair.4c00298
- Methane point source quantification using MethaneAIR: a new airborne imaging spectrometer A. Chulakadabba et al. 10.5194/amt-16-5771-2023
- Offshore methane detection and quantification from space using sun glint measurements with the GHGSat constellation J. MacLean et al. 10.5194/amt-17-863-2024
14 citations as recorded by crossref.
- Automatic detection of methane emissions in multispectral satellite imagery using a vision transformer B. Rouet-Leduc & C. Hulbert 10.1038/s41467-024-47754-y
- Multisatellite Data Depicts a Record-Breaking Methane Leak from a Well Blowout L. Guanter et al. 10.1021/acs.estlett.4c00399
- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al. 10.1021/acs.estlett.4c01063
- Drill tool recognition and detection with SERep-CCNet: A lightweight model approach X. Wu et al. 10.1016/j.geoen.2025.213844
- Estimating Methane Emission Durations Using Continuous Monitoring Systems W. Daniels et al. 10.1021/acs.estlett.4c00687
- Developing a ‘fit for purpose’ approach to measuring methane emissions I. Joynes et al. 10.1071/EP23067
- Comparing Continuous Methane Monitoring Technologies for High-Volume Emissions: A Single-Blind Controlled Release Study Z. Chen et al. 10.1021/acsestair.4c00015
- US oil and gas system emissions from nearly one million aerial site measurements E. Sherwin et al. 10.1038/s41586-024-07117-5
- Technological Maturity of Aircraft-Based Methane Sensing for Greenhouse Gas Mitigation S. El Abbadi et al. 10.1021/acs.est.4c02439
- A new aerial approach for quantifying and attributing methane emissions: implementation and validation J. Dooley et al. 10.5194/amt-17-5091-2024
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- Advancing oil and gas emissions assessment through large language model data extraction Z. Chen et al. 10.1016/j.egyai.2025.100481
- An Effective Quantification of Methane Point-Source Emissions with the Multi-Level Matched Filter from Hyperspectral Imagery M. Liang et al. 10.3390/rs17050843
- Intercomparison of Three Continuous Monitoring Systems on Operating Oil and Gas Sites W. Daniels et al. 10.1021/acsestair.4c00298
2 citations as recorded by crossref.
Latest update: 29 Mar 2025
Short summary
Countries and companies increasingly rely on a growing fleet of satellites to find large emissions of climate-warming methane, particularly from oil and natural gas systems across the globe. We independently assessed the performance of nine such systems by releasing controlled, undisclosed amounts of methane as satellites passed overhead. The tested systems produced reliable detection and quantification results, including the smallest-ever emission detected from space in such a test.
Countries and companies increasingly rely on a growing fleet of satellites to find large...
