Articles | Volume 16, issue 24
https://doi.org/10.5194/amt-16-6065-2023
© Author(s) 2023. 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-16-6065-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Dec 2023
Research article |
| 20 Dec 2023
| 20 Dec 2023
Performance and sensitivity of column-wise and pixel-wise methane retrievals for imaging spectrometers
Alana K. Ayasse
CORRESPONDING AUTHOR
Carbon Mapper Inc., Pasadena, CA 91101, USA
Daniel Cusworth
Carbon Mapper Inc., Pasadena, CA 91101, USA
Kelly O'Neill
Carbon Mapper Inc., Pasadena, CA 91101, USA
Justin Fisk
Carbon Mapper Inc., Pasadena, CA 91101, USA
Andrew K. Thorpe
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Riley Duren
Carbon Mapper Inc., Pasadena, CA 91101, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Arizona Institutes for Resilience, University of Arizona, Tucson, AZ 85721, USA
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Cited
20 citations as recorded by crossref.
- Duration of super-emitting oil and gas methane sources D. Cusworth et al. https://doi.org/10.1038/s41467-026-68804-7
- Spatiotemporal analysis of atmospheric methane over Kazakhstan using Sentinel-5P satellite observations between 2019–2024 D. Chepashev et al. https://doi.org/10.3389/fenvs.2026.1939106
- Towards operational automated greenhouse gas plume detection and delineation B. Bue et al. https://doi.org/10.1016/j.rse.2026.115506
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al. https://doi.org/10.5194/amt-18-3857-2025
- Quantifying facility-scale CO2 emissions using spaceborne hyperspectral imageries G. Han et al. https://doi.org/10.1016/j.rse.2026.115478
- Technological Maturity of Aircraft-Based Methane Sensing for Greenhouse Gas Mitigation S. El Abbadi et al. https://doi.org/10.1021/acs.est.4c02439
- Assessing uncertainties of Integrated Mass Enhancement (IME) method for estimating landfill methane emissions F. Arkian et al. https://doi.org/10.1080/10962247.2025.2557323
- Remote Sensing Enables Basin-Scale Inventories of Coal Mine Methane E. Penn et al. https://doi.org/10.1021/acs.est.5c14976
- Scene-Based Spectral Characterization of Spaceborne Imaging Spectrometers in Different Spectral Windows Z. Pei et al. https://doi.org/10.1109/TGRS.2026.3720505
- A top-down calibration method for deriving landfill gas emissions model (LandGEM) parameters: a case study of an active landfill in Tehran, Iran B. Karimi et al. https://doi.org/10.1016/j.cacint.2026.100493
- Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique Y. Jiang et al. https://doi.org/10.3390/rs17040634
- Sensitivity and Uncertainty in Matched-Filter-Based Gas Detection With Imaging Spectroscopy J. Fahlen et al. https://doi.org/10.1109/TGRS.2024.3440174
- An optimized methane retrieval approach based on morphological fusion for mapping methane point emissions from spaceborne imaging spectrometry F. Li et al. https://doi.org/10.1016/j.rse.2026.115718
- The Carbon Mapper emissions monitoring system R. Duren et al. https://doi.org/10.5194/amt-18-6933-2025
- Surveying methane point-source super-emissions across oil and gas basins with MethaneSAT L. Guanter et al. https://doi.org/10.5194/acp-26-2941-2026
- Identifying and quantifying greenhouse gas emissions with the AVIRIS-3 airborne imaging spectrometer R. Coleman et al. https://doi.org/10.1016/j.rse.2025.115058
- Rethinking EPA Method 21 Surface Emissions Monitoring: Quantifying performance limits for methane detection at municipal solid waste landfills N. Tarakki et al. https://doi.org/10.1525/elementa.2025.00133
- Detection of elevated CO₂ and CH₄ emissions from power plant and landfill sites using airborne and spaceborne imaging spectroscopy H. Varchand et al. https://doi.org/10.1016/j.apr.2025.102607
- Quantifying CH4 point source emissions with airborne remote sensing: first results from AVIRIS-4 S. Meier et al. https://doi.org/10.5194/amt-19-333-2026
- Informing landfill emission reporting programs through remote sensing K. Howell et al. https://doi.org/10.1525/elementa.2025.00105
20 citations as recorded by crossref.
- Duration of super-emitting oil and gas methane sources D. Cusworth et al. https://doi.org/10.1038/s41467-026-68804-7
- Spatiotemporal analysis of atmospheric methane over Kazakhstan using Sentinel-5P satellite observations between 2019–2024 D. Chepashev et al. https://doi.org/10.3389/fenvs.2026.1939106
- Towards operational automated greenhouse gas plume detection and delineation B. Bue et al. https://doi.org/10.1016/j.rse.2026.115506
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al. https://doi.org/10.5194/amt-18-3857-2025
- Quantifying facility-scale CO2 emissions using spaceborne hyperspectral imageries G. Han et al. https://doi.org/10.1016/j.rse.2026.115478
- Technological Maturity of Aircraft-Based Methane Sensing for Greenhouse Gas Mitigation S. El Abbadi et al. https://doi.org/10.1021/acs.est.4c02439
- Assessing uncertainties of Integrated Mass Enhancement (IME) method for estimating landfill methane emissions F. Arkian et al. https://doi.org/10.1080/10962247.2025.2557323
- Remote Sensing Enables Basin-Scale Inventories of Coal Mine Methane E. Penn et al. https://doi.org/10.1021/acs.est.5c14976
- Scene-Based Spectral Characterization of Spaceborne Imaging Spectrometers in Different Spectral Windows Z. Pei et al. https://doi.org/10.1109/TGRS.2026.3720505
- A top-down calibration method for deriving landfill gas emissions model (LandGEM) parameters: a case study of an active landfill in Tehran, Iran B. Karimi et al. https://doi.org/10.1016/j.cacint.2026.100493
- Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique Y. Jiang et al. https://doi.org/10.3390/rs17040634
- Sensitivity and Uncertainty in Matched-Filter-Based Gas Detection With Imaging Spectroscopy J. Fahlen et al. https://doi.org/10.1109/TGRS.2024.3440174
- An optimized methane retrieval approach based on morphological fusion for mapping methane point emissions from spaceborne imaging spectrometry F. Li et al. https://doi.org/10.1016/j.rse.2026.115718
- The Carbon Mapper emissions monitoring system R. Duren et al. https://doi.org/10.5194/amt-18-6933-2025
- Surveying methane point-source super-emissions across oil and gas basins with MethaneSAT L. Guanter et al. https://doi.org/10.5194/acp-26-2941-2026
- Identifying and quantifying greenhouse gas emissions with the AVIRIS-3 airborne imaging spectrometer R. Coleman et al. https://doi.org/10.1016/j.rse.2025.115058
- Rethinking EPA Method 21 Surface Emissions Monitoring: Quantifying performance limits for methane detection at municipal solid waste landfills N. Tarakki et al. https://doi.org/10.1525/elementa.2025.00133
- Detection of elevated CO₂ and CH₄ emissions from power plant and landfill sites using airborne and spaceborne imaging spectroscopy H. Varchand et al. https://doi.org/10.1016/j.apr.2025.102607
- Quantifying CH4 point source emissions with airborne remote sensing: first results from AVIRIS-4 S. Meier et al. https://doi.org/10.5194/amt-19-333-2026
- Informing landfill emission reporting programs through remote sensing K. Howell et al. https://doi.org/10.1525/elementa.2025.00105
Saved (final revised paper)
Latest update: 25 Oct 2026
Short summary
Methane is a powerful greenhouse gas, and a significant portion of methane comes from large individual plumes. Recently, airplane-mounted infrared technologies have proven very good at detecting and quantifying these plumes. In order to extract the methane signal from the infrared image, there are two widely used approaches. In this study, we assess the performance of both approaches using controlled-release experiments. We also examine the minimum detection limit of the infrared technology.
Methane is a powerful greenhouse gas, and a significant portion of methane comes from large...
