Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 5
Articles | Volume 18, issue 5
https://doi.org/10.5194/amt-18-1301-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-1301-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 5
Research article
 | 
14 Mar 2025
Research article |  | 14 Mar 2025

Quantitative estimate of several sources of uncertainty in drone-based methane emission measurements

Tannaz H. Mohammadloo, Matthew Jones, Bas van de Kerkhof, Kyle Dawson, Brendan J. Smith, Stephen Conley, Abigail Corbett, and Rutger IJzermans

Viewed

Total article views: 2,158 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,584 303 271 2,158 47 78
  • HTML: 1,584
  • PDF: 303
  • XML: 271
  • Total: 2,158
  • BibTeX: 47
  • EndNote: 78
Views and downloads (calculated since 29 Jul 2024)
Cumulative views and downloads (calculated since 29 Jul 2024)

Viewed (geographical distribution)

Total article views: 2,158 (including HTML, PDF, and XML) Thereof 2,131 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Methane is a potent greenhouse gas. Trustable detection and quantification of methane emissions at facility level are critical for identifying the largest sources and prioritizing them for repair. We provide a systematic analysis of several sources of uncertainty in drone-based methane emission surveys based on theoretical considerations and historical data sets. We provide guidelines for industry on how to avoid or minimize errors in drone-based methane emission quantification surveys.
Read more
Share