Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5259-2024
https://doi.org/10.5194/tc-18-5259-2024
Research article
 | 
19 Nov 2024
Research article |  | 19 Nov 2024

Land surface temperature trends derived from Landsat imagery in the Swiss Alps

Deniz Tobias Gök, Dirk Scherler, and Hendrik Wulf

Viewed

Total article views: 844 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
551 256 37 844 65 23 21
  • HTML: 551
  • PDF: 256
  • XML: 37
  • Total: 844
  • Supplement: 65
  • BibTeX: 23
  • EndNote: 21
Views and downloads (calculated since 17 May 2024)
Cumulative views and downloads (calculated since 17 May 2024)

Viewed (geographical distribution)

Total article views: 844 (including HTML, PDF, and XML) Thereof 852 with geography defined and -8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
We derived Landsat Collection 2 land surface temperature (LST) trends in the Swiss Alps using a harmonic model with a linear trend. Validation with LST data from 119 high-altitude weather stations yielded robust results, but Landsat LST trends are biased due to unstable acquisition times. The bias varies with topographic slope and aspect. We discuss its origin and propose a simple correction method in relation to modeled changes in shortwave radiation.