Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-781-2018
https://doi.org/10.5194/amt-11-781-2018
Research article
 | 
08 Feb 2018
Research article |  | 08 Feb 2018

Improved optical flow velocity analysis in SO2 camera images of volcanic plumes – implications for emission-rate retrievals investigated at Mt Etna, Italy and Guallatiri, Chile

Jonas Gliß, Kerstin Stebel, Arve Kylling, and Aasmund Sudbø

Viewed

Total article views: 2,986 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,979 916 91 2,986 405 91 93
  • HTML: 1,979
  • PDF: 916
  • XML: 91
  • Total: 2,986
  • Supplement: 405
  • BibTeX: 91
  • EndNote: 93
Views and downloads (calculated since 14 Aug 2017)
Cumulative views and downloads (calculated since 14 Aug 2017)

Viewed (geographical distribution)

Total article views: 2,986 (including HTML, PDF, and XML) Thereof 2,889 with geography defined and 97 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 17 Jul 2024
Download
Short summary
The paper focusses on gas-velocity retrievals in emission plumes using optical flow (OF) algorithms applied to remote sensing imagery. OF algorithms can measure the velocities on a pixel level between consecutive images. An issue of OF algorithms is that they often fail to detect motion in contrast-poor image areas. A correction based on histograms of an OF vector field is proposed. The new method is applied to two example volcanic data sets from Mt Etna, Italy and Guallatiri, Chile.