Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5655-2019
© Author(s) 2019. 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-12-5655-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Oct 2019
Research article |
| 24 Oct 2019
| 24 Oct 2019
Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space
Daniel H. Cusworth
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Daniel J. Jacob
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
Daniel J. Varon
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
GHGSat, Inc., Montréal, QC H2W 1Y5, Canada
Christopher Chan Miller
Atomic and Molecular Physics Division, Harvard Smithsonian Center for
Astrophysics, Cambridge, MA, USA
Xiong Liu
Atomic and Molecular Physics Division, Harvard Smithsonian Center for
Astrophysics, Cambridge, MA, USA
Kelly Chance
Atomic and Molecular Physics Division, Harvard Smithsonian Center for
Astrophysics, Cambridge, MA, USA
Andrew K. Thorpe
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Riley M. Duren
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Charles E. Miller
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
David R. Thompson
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Christian Frankenberg
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Division of Geology and Planetary Sciences, California Institute of
Technology, Pasadena, CA, USA
Luis Guanter
Centro de Tecnologías Físicas, Universitat Politècnica
de València, Camí de Vera s/n, 46022 Valencia, Spain
Cynthia A. Randles
ExxonMobil Research and Engineering Company, Annandale, NJ, USA
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Cited
92 citations as recorded by crossref.
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al.
- First Investigation of Long-Term Methane Emissions from Wastewater Treatment Using Satellite Remote Sensing S. Mehrdad et al.
- 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al.
- Multisatellite Imaging of a Gas Well Blowout Enables Quantification of Total Methane Emissions D. Cusworth et al.
- Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images P. Joyce et al.
- Satellite-based survey of extreme methane emissions in the Permian basin I. Irakulis-Loitxate et al.
- Temporal and spatial comparison of coal mine ventilation methane emissions and mitigation quantified using PRISMA satellite data and on-site measurements C. Karacan et al.
- Vast and hidden urban methane emissions from the Russia–Ukraine war Z. Feng et al.
- FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived XCH4 Observations Y. Huang et al.
- 温室气体多平台遥感探测研究（特邀） 刘. Liu Dong et al.
- The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al.
- Methane Mapping with Future Satellite Imaging Spectrometers A. Ayasse et al.
- Attribution of methane point source emissions using airborne imaging spectroscopy and the Vista-California methane infrastructure dataset T. Rafiq et al.
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al.
- Comparing the performance of different hyperspectral satellite imaging spectroscopy in mapping methane point-source emissions F. Li et al.
- Utilizing Remote Sensing and Data Analytics Techniques to Detect Methane Emissions from the Oil and Gas Industry and Assist with Sustainability Metrics Á. Esparza et al.
- Remote sensing of methane plumes: instrument tradeoff analysis for detecting and quantifying local sources at global scale S. Jongaramrungruang et al.
- Methane measurement method based on F-P angle-dependent correlation spectroscopy Y. Lv et al.
- Synthesis of Methane Observations Across Scales: Strategies for Deploying a Multitiered Observing Network D. Cusworth et al.
- A Review of Offshore Methane Quantification Methodologies S. Riddick et al.
- Geostationary satellite observations of extreme and transient methane emissions from oil and gas infrastructure M. Watine-Guiu et al.
- Performance and sensitivity of column-wise and pixel-wise methane retrievals for imaging spectrometers A. Ayasse et al.
- A helicopter-based mass balance approach for quantifying methane emissions from industrial activities, applied for coal mine ventilation shafts in Poland E. Förster et al.
- Machine Learning for Methane Detection and Quantification From Space: A survey E. Tiemann et al.
- A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al.
- High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al.
- The weak land carbon sink hypothesis J. Randerson et al.
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al.
- Attributing GHG emissions to individual facilities using multi-temporal hyperspectral images: Methodology and applications Y. Zhang et al.
- Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19 A. Thorpe et al.
- Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites X. Zhang et al.
- Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2 J. Wilzewski et al.
- Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al.
- Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada L. Baskaran et al.
- Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring Y. Pang et al.
- Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site N. Nesme et al.
- Detecting Methane Emissions from Space Over India: Analysis Using EMIT and Sentinel-5P TROPOMI Datasets A. Siddiqui et al.
- Quantifying Time-Averaged Methane Emissions from Individual Coal Mine Vents with GHGSat-D Satellite Observations D. Varon et al.
- SSRMF: A sparse spectral reconstruction enhanced matched filter for improving point-source methane emission detection in complex terrain K. Li et al.
- Robust probabilities of detection and quantification uncertainty for aerial methane detection: Examples for three airborne technologies B. Conrad et al.
- Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite E. Sánchez-García et al.
- 碧空一号卫星大气甲烷羽流探测及点源排放量遥感分析（特邀） 何. He Zhuo et al.
- Current Status of Satellite Remote Sensing-Based Methane Emission Monitoring Technologies M. Kim et al.
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al.
- Unravelling a large methane emission discrepancy in Mexico using satellite observations L. Shen et al.
- Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L. Guanter et al.
- Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al.
- Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions L. Zimmerman & J. Kerekes
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al.
- A U.S. scientific community review of carbon cycle science gaps and opportunities to better support earth system science and carbon management N. Parazoo et al.
- Assessing the Relative Importance of Satellite-Detected Methane Superemitters in Quantifying Total Emissions for Oil and Gas Production Areas in Algeria S. Naus et al.
- Considering the observation and illumination angular configuration for an improved detection and quantification of methane emissions J. Gorroño et al.
- The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al.
- High-frequency monitoring of anomalous methane point sources with multispectral Sentinel-2 satellite observations D. Varon et al.
- Towards Supporting Satellite Design Through the Top-Down Approach: A General Model for Assessing the Ability of Future Satellite Missions to Quantify Point Source Emissions L. Yao et al.
- Methane emissions from the oil and gas supply chain: Characteristics and mitigation H. Lu et al.
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al.
- A Structured Approach for the Mitigation of Natural Methane Emissions—Lessons Learned from Anthropogenic Emissions J. Johannisson & M. Hiete
- A Multi-Sensor Framework for Methane Detection and Flux Estimation with Scale-Aware Plume Segmentation and Uncertainty Propagation from High-Resolution Spaceborne Imaging Spectrometers A. Ferrari et al.
- Intermittency of Large Methane Emitters in the Permian Basin D. Cusworth et al.
- Understanding the potential of Sentinel-2 for monitoring methane point emissions J. Gorroño et al.
- Methane emissions from underground gas storage in California A. Thorpe et al.
- Assessing the Potential of the MTG-FCI Geostationary Mission for the Detection of Methane Plumes S. Zhou et al.
- Characterization of methane plumes during the Aliso Canyon natural gas leak: a remote sensing perspective D. Cusworth et al.
- Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery T. Ehret et al.
- Assessing the Detection of Methane Plumes in Offshore Areas Using High-Resolution Imaging Spectrometers J. Roger et al.
- Sensitivity of Airborne Methane Retrieval Algorithms (MF, ACRWL1MF, and DOAS) to Surface Albedo and Types: Hyperspectral Simulation Assessment J. Chen et al.
- Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al.
- Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers J. Roger et al.
- Investigation of spectral bands and sensor parameters for methane emission detection imaging spectrometer H. Varchand et al.
- Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations D. Cusworth et al.
- Improved methane flux estimation from hyper-spectral imagery via log-domain matched filtering and background homogenization F. Masin et al.
- Landfill gas collection efficiency: Categorization of data from existing in-situ measurements C. Giordano et al.
- Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation M. Knapp et al.
- PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data M. Marjani et al.
- Evidence of successful methane mitigation in one of Europe's most important oil production region G. Kuhlmann et al.
- Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy M. Foote et al.
- 天基超连续谱激光雷达碳监测模型和误差分析 尹. Yin Hongyi et al.
- Environmental impacts of methane emissions from the oil and gas industry H. Lu et al.
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al.
- Information Matters: Feasible Policies for Reducing Methane Emissions K. Dunkle Werner & W. Qiu
- U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers J. Bruno et al.
- Detecting methane emissions from palm oil mills with airborne and spaceborne imaging spectrometers A. Valverde et al.
- Tightening up methane plume source rate estimation in EnMAP and PRISMA images E. Ouerghi et al.
- Intermittent Emissions from Oil and Gas Operations: Implications for Detection Effectiveness from Periodic Leak Detection Surveys A. Hodshire et al.
- Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai Y. Wu et al.
- Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite imagery Z. Zhang et al.
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al.
- Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique Y. Jiang et al.
- Analysis of a tiered top-down approach using satellite and aircraft platforms to monitor oil and gas facilities in the Permian basin Á. Esparza et al.
- Improved Quantification of Methane Point-Source Emissions from Hyperspectral Imagery Using a Spectrally Corrected Levenberg–Marquardt Matched Filter Z. He et al.
- A data-efficient deep transfer learning framework for methane super-emitter detection in oil and gas fields using the Sentinel-2 satellite S. Zhao et al.
92 citations as recorded by crossref.
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al.
- First Investigation of Long-Term Methane Emissions from Wastewater Treatment Using Satellite Remote Sensing S. Mehrdad et al.
- 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al.
- Multisatellite Imaging of a Gas Well Blowout Enables Quantification of Total Methane Emissions D. Cusworth et al.
- Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images P. Joyce et al.
- Satellite-based survey of extreme methane emissions in the Permian basin I. Irakulis-Loitxate et al.
- Temporal and spatial comparison of coal mine ventilation methane emissions and mitigation quantified using PRISMA satellite data and on-site measurements C. Karacan et al.
- Vast and hidden urban methane emissions from the Russia–Ukraine war Z. Feng et al.
- FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived XCH4 Observations Y. Huang et al.
- 温室气体多平台遥感探测研究（特邀） 刘. Liu Dong et al.
- The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al.
- Methane Mapping with Future Satellite Imaging Spectrometers A. Ayasse et al.
- Attribution of methane point source emissions using airborne imaging spectroscopy and the Vista-California methane infrastructure dataset T. Rafiq et al.
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al.
- Comparing the performance of different hyperspectral satellite imaging spectroscopy in mapping methane point-source emissions F. Li et al.
- Utilizing Remote Sensing and Data Analytics Techniques to Detect Methane Emissions from the Oil and Gas Industry and Assist with Sustainability Metrics Á. Esparza et al.
- Remote sensing of methane plumes: instrument tradeoff analysis for detecting and quantifying local sources at global scale S. Jongaramrungruang et al.
- Methane measurement method based on F-P angle-dependent correlation spectroscopy Y. Lv et al.
- Synthesis of Methane Observations Across Scales: Strategies for Deploying a Multitiered Observing Network D. Cusworth et al.
- A Review of Offshore Methane Quantification Methodologies S. Riddick et al.
- Geostationary satellite observations of extreme and transient methane emissions from oil and gas infrastructure M. Watine-Guiu et al.
- Performance and sensitivity of column-wise and pixel-wise methane retrievals for imaging spectrometers A. Ayasse et al.
- A helicopter-based mass balance approach for quantifying methane emissions from industrial activities, applied for coal mine ventilation shafts in Poland E. Förster et al.
- Machine Learning for Methane Detection and Quantification From Space: A survey E. Tiemann et al.
- A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al.
- High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al.
- The weak land carbon sink hypothesis J. Randerson et al.
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al.
- Attributing GHG emissions to individual facilities using multi-temporal hyperspectral images: Methodology and applications Y. Zhang et al.
- Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19 A. Thorpe et al.
- Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites X. Zhang et al.
- Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2 J. Wilzewski et al.
- Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al.
- Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada L. Baskaran et al.
- Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring Y. Pang et al.
- Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site N. Nesme et al.
- Detecting Methane Emissions from Space Over India: Analysis Using EMIT and Sentinel-5P TROPOMI Datasets A. Siddiqui et al.
- Quantifying Time-Averaged Methane Emissions from Individual Coal Mine Vents with GHGSat-D Satellite Observations D. Varon et al.
- SSRMF: A sparse spectral reconstruction enhanced matched filter for improving point-source methane emission detection in complex terrain K. Li et al.
- Robust probabilities of detection and quantification uncertainty for aerial methane detection: Examples for three airborne technologies B. Conrad et al.
- Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite E. Sánchez-García et al.
- 碧空一号卫星大气甲烷羽流探测及点源排放量遥感分析（特邀） 何. He Zhuo et al.
- Current Status of Satellite Remote Sensing-Based Methane Emission Monitoring Technologies M. Kim et al.
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al.
- Unravelling a large methane emission discrepancy in Mexico using satellite observations L. Shen et al.
- Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L. Guanter et al.
- Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al.
- Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions L. Zimmerman & J. Kerekes
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al.
- A U.S. scientific community review of carbon cycle science gaps and opportunities to better support earth system science and carbon management N. Parazoo et al.
- Assessing the Relative Importance of Satellite-Detected Methane Superemitters in Quantifying Total Emissions for Oil and Gas Production Areas in Algeria S. Naus et al.
- Considering the observation and illumination angular configuration for an improved detection and quantification of methane emissions J. Gorroño et al.
- The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al.
- High-frequency monitoring of anomalous methane point sources with multispectral Sentinel-2 satellite observations D. Varon et al.
- Towards Supporting Satellite Design Through the Top-Down Approach: A General Model for Assessing the Ability of Future Satellite Missions to Quantify Point Source Emissions L. Yao et al.
- Methane emissions from the oil and gas supply chain: Characteristics and mitigation H. Lu et al.
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al.
- A Structured Approach for the Mitigation of Natural Methane Emissions—Lessons Learned from Anthropogenic Emissions J. Johannisson & M. Hiete
- A Multi-Sensor Framework for Methane Detection and Flux Estimation with Scale-Aware Plume Segmentation and Uncertainty Propagation from High-Resolution Spaceborne Imaging Spectrometers A. Ferrari et al.
- Intermittency of Large Methane Emitters in the Permian Basin D. Cusworth et al.
- Understanding the potential of Sentinel-2 for monitoring methane point emissions J. Gorroño et al.
- Methane emissions from underground gas storage in California A. Thorpe et al.
- Assessing the Potential of the MTG-FCI Geostationary Mission for the Detection of Methane Plumes S. Zhou et al.
- Characterization of methane plumes during the Aliso Canyon natural gas leak: a remote sensing perspective D. Cusworth et al.
- Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery T. Ehret et al.
- Assessing the Detection of Methane Plumes in Offshore Areas Using High-Resolution Imaging Spectrometers J. Roger et al.
- Sensitivity of Airborne Methane Retrieval Algorithms (MF, ACRWL1MF, and DOAS) to Surface Albedo and Types: Hyperspectral Simulation Assessment J. Chen et al.
- Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al.
- Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers J. Roger et al.
- Investigation of spectral bands and sensor parameters for methane emission detection imaging spectrometer H. Varchand et al.
- Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations D. Cusworth et al.
- Improved methane flux estimation from hyper-spectral imagery via log-domain matched filtering and background homogenization F. Masin et al.
- Landfill gas collection efficiency: Categorization of data from existing in-situ measurements C. Giordano et al.
- Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation M. Knapp et al.
- PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data M. Marjani et al.
- Evidence of successful methane mitigation in one of Europe's most important oil production region G. Kuhlmann et al.
- Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy M. Foote et al.
- 天基超连续谱激光雷达碳监测模型和误差分析 尹. Yin Hongyi et al.
- Environmental impacts of methane emissions from the oil and gas industry H. Lu et al.
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al.
- Information Matters: Feasible Policies for Reducing Methane Emissions K. Dunkle Werner & W. Qiu
- U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers J. Bruno et al.
- Detecting methane emissions from palm oil mills with airborne and spaceborne imaging spectrometers A. Valverde et al.
- Tightening up methane plume source rate estimation in EnMAP and PRISMA images E. Ouerghi et al.
- Intermittent Emissions from Oil and Gas Operations: Implications for Detection Effectiveness from Periodic Leak Detection Surveys A. Hodshire et al.
- Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai Y. Wu et al.
- Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite imagery Z. Zhang et al.
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al.
- Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique Y. Jiang et al.
- Analysis of a tiered top-down approach using satellite and aircraft platforms to monitor oil and gas facilities in the Permian basin Á. Esparza et al.
- Improved Quantification of Methane Point-Source Emissions from Hyperspectral Imagery Using a Spectrally Corrected Levenberg–Marquardt Matched Filter Z. He et al.
- A data-efficient deep transfer learning framework for methane super-emitter detection in oil and gas fields using the Sentinel-2 satellite S. Zhao et al.
Saved (final revised paper)
Latest update: 29 Apr 2026
Short summary
We examine the potential for global detection of methane plumes from individual point sources with the new generation of spaceborne imaging spectrometers scheduled for launch in 2019–2025. We perform methane retrievals on simulated scenes with varying surfaces and atmospheric methane concentrations. Our results suggest that imaging spectrometers in space could play a transformative role in the future for quantifying methane emissions from point sources on a global scale.
We examine the potential for global detection of methane plumes from individual point sources...
