Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5259-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-5259-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Nov 2024
Research article |
| 19 Nov 2024
| 19 Nov 2024
Land surface temperature trends derived from Landsat imagery in the Swiss Alps
Deniz Tobias Gök
CORRESPONDING AUTHOR
GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Dirk Scherler
GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Institute of Geographical Sciences, Freie Universität Berlin, 14195 Berlin, Germany
Hendrik Wulf
Remote Sensing Laboratories, University of Zurich, 8057, Zurich, Switzerland
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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.
We derived Landsat Collection 2 land surface temperature (LST) trends in the Swiss Alps using a...
