Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 23
Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-7155-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-7155-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 23
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

Viewed

Total article views: 3,006 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,171 755 80 3,006 49 64
  • HTML: 2,171
  • PDF: 755
  • XML: 80
  • Total: 3,006
  • BibTeX: 49
  • EndNote: 64
Views and downloads (calculated since 08 Sep 2022)
Cumulative views and downloads (calculated since 08 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,006 (including HTML, PDF, and XML) Thereof 3,055 with geography defined and -49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Dec 2024
Download
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.
Read more