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
Viewed
Total article views: 3,596 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Jul 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,492 | 937 | 167 | 3,596 | 398 | 194 | 284 |
- HTML: 2,492
- PDF: 937
- XML: 167
- Total: 3,596
- Supplement: 398
- BibTeX: 194
- EndNote: 284
Total article views: 2,013 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Dec 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,496 | 430 | 87 | 2,013 | 147 | 123 | 136 |
- HTML: 1,496
- PDF: 430
- XML: 87
- Total: 2,013
- Supplement: 147
- BibTeX: 123
- EndNote: 136
Total article views: 1,583 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Jul 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 996 | 507 | 80 | 1,583 | 251 | 71 | 148 |
- HTML: 996
- PDF: 507
- XML: 80
- Total: 1,583
- Supplement: 251
- BibTeX: 71
- EndNote: 148
Viewed (geographical distribution)
Total article views: 3,596 (including HTML, PDF, and XML)
Thereof 3,515 with geography defined
and 81 with unknown origin.
Total article views: 2,013 (including HTML, PDF, and XML)
Thereof 1,942 with geography defined
and 71 with unknown origin.
Total article views: 1,583 (including HTML, PDF, and XML)
Thereof 1,573 with geography defined
and 10 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
15 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
- 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
- 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
- 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
15 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
- 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
- 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
- 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
Saved (final revised paper)
Latest update: 21 Jul 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...
