Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/amt-18-5545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-5545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Research article
 | 
21 Oct 2025
Research article |  | 21 Oct 2025

Assessing the Detection of Methane Plumes in Offshore Areas Using High-Resolution Imaging Spectrometers

Javier Roger, Luis Guanter, and Javier Gorroño

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Cited articles

ASI: https://prisma.asi.it/ (last access: 21 October 2024), 2024. a
Ayasse, A. K., Thorpe, A. K., Roberts, D. A., Funk, C. C., Dennison, P. E., Frankenberg, C., Steffke, A., and Aubrey, A. D.: Evaluating the effects of surface properties on methane retrievals using a synthetic airborne visible/infrared imaging spectrometer next generation (AVIRIS-NG) image, Remote Sensing of Environment, 215, 386–397, https://doi.org/10.1016/j.rse.2018.06.018, 2018. a
Ayasse, A. K., Thorpe, A. K., Cusworth, D. H., Kort, E. A., Negron, A. G., Heckler, J., Asner, G., and Duren, R. M.: Methane remote sensing and emission quantification of offshore shallow water oil and gas platforms in the Gulf of Mexico, Environmental Research Letters, 17, 084039, https://doi.org/10.1088/1748-9326/ac8566, 2022. a, b
Ayasse, A. K., Cusworth, D. H., Howell, K., O’Neill, K., Conrad, B. M., Johnson, M. R., Heckler, J., Asner, G. P., and Duren, R.: Probability of Detection and Multi-Sensor Persistence of Methane Emissions from Coincident Airborne and Satellite Observations, Environ. Sci. Technol., 58, 21536–21544, https://doi.org/10.1021/acs.est.4c06702, pMID: 39587769, 2024. a
Bruno, J. H., Jervis, D., Varon, D. J., and Jacob, D. J.: U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers, Atmos. Meas. Tech., 17, 2625–2636, https://doi.org/10.5194/amt-17-2625-2024, 2024. a
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Detection of methane point source emissions with satellite-based imaging spectrometers is assessed in offshore areas. After integrating simulations into data from 2 different satellite missions, we extract the probability of detection. We compare our results with real plumes, which shows the consistency of the models. Detection and monitoring efforts can be optimized by filtering data based on these results, reducing unnecessary searches and increasing the action taken on these emissions.
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