Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-7155-2022
https://doi.org/10.5194/amt-15-7155-2022
Research article
 | 
13 Dec 2022
Research article |  | 13 Dec 2022

Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite imagery

Zhan Zhang, Evan D. Sherwin, Daniel J. Varon, and Adam R. Brandt

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Latest update: 22 Jul 2024
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Short summary
This work developed a multi-band–multi-pass–multi-comparison-date Sentinel-2 methane retrieval algorithm, and the method was calibrated by data from a controlled release test. To our knowledge, this is the first study that validates the performance of a Sentinel-2 methane detection algorithm by calibration with a ground-truth testing. It illustrates the potential for additional validation with systematic future experiments wherein algorithms can be tuned to meet different detection expectations.