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

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Cited articles

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Cook, M., Schott, J. R., Mandel, J., and Raqueño, N. G.: Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive, Remote Sensing, 6, 11244–11266, https://doi.org/10.3390/rs61111244, 2014. 
Copernicus DEM: COP-DEM_EEA-10-INSP, Copernicus DEM [data set], https://doi.org/10.5270/esa-c5d3d65, 2022. 
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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.
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