Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/amt-17-2625-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-2625-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Research article
 | 
06 May 2024
Research article |  | 06 May 2024

U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers

Jack H. Bruno, Dylan Jervis, Daniel J. Varon, and Daniel J. Jacob

Viewed

Total article views: 1,422 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
990 382 50 1,422 37 36
  • HTML: 990
  • PDF: 382
  • XML: 50
  • Total: 1,422
  • BibTeX: 37
  • EndNote: 36
Views and downloads (calculated since 25 Aug 2023)
Cumulative views and downloads (calculated since 25 Aug 2023)

Viewed (geographical distribution)

Total article views: 1,422 (including HTML, PDF, and XML) Thereof 1,432 with geography defined and -10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
Methane is a potent greenhouse gas and a current high-priority target for short- to mid-term climate change mitigation. Detection of individual methane emitters from space has become possible in recent years, and the volume of data for this task has been rapidly growing, outpacing processing capabilities. We introduce an automated approach, U-Plume, which can detect and quantify emissions from individual methane sources in high-spatial-resolution satellite data. 
Read more