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.
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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- Satellite remote sensing for post-fire recovery: sustainable reforestation using NDVI, LST and SMI C. Tsallis et al. https://doi.org/10.1108/MEQ-03-2025-0187
- Land Surface Temperature Trends Over Central and Southern Europe: Derivation and Analyses of Long-Term (1986–2018) Monthly Maxima C. Eisfelder et al. https://doi.org/10.1109/JSTARS.2026.3666131
- Urban heat island assessment using Landsat-derived indices and geographically weighted regression in Sonipat district, India . Diksha et al. https://doi.org/10.3934/geosci.2026012
- Benchmarking Landsat-8 Collection 2 Level-2 Land Surface Temperature Accuracy Using SURFRAD Stations: Effects of Seasonality and Atmospheric Water Vapor A. Ayek et al. https://doi.org/10.3390/atmos17060615
- Analyzing Land Surface Temperature Trends in the Iberian Peninsula Using EOS-Aqua MODIS Data S. Arribas et al. https://doi.org/10.1109/JSTARS.2025.3622343
- Changes in Glaciers of the Vakhsh River Basin, Tajikistan Under Global Climate Change F. Nasrulloev et al. https://doi.org/10.3390/rs18091436
- Integrating citizen notifications and geospatial tools to monitor urban Triatoma infestans occurrence from San Juan, Argentina M. Miller et al. https://doi.org/10.1016/j.actatropica.2026.108168
- High detail in high mountains: a systematic review of passive remote sensing data in alpine vegetation species distribution models C. Enache et al. https://doi.org/10.1007/s00035-026-00358-2
- Enhancements to the USGS Landsat Level 2 surface temperature and emissivity product for Collection 3 reprocessing S. Arab et al. https://doi.org/10.1016/j.rse.2026.115563
- Rapid regional assessment of rock glacier activity based on DInSAR wrapped-phase signal F. Agliardi et al. https://doi.org/10.5194/tc-19-5003-2025
- Investigating Land Surface Temperature (LST) and Its Influencing Factors in the Laut Tawar Sub-Watershed, Indonesia, Using Landsat 9 Data M. Fahmi et al. https://doi.org/10.3390/su18010096
- Four decades of circumpolar super-resolved satellite land surface temperature data S. Dupuis et al. https://doi.org/10.1038/s41597-026-07399-6
- Ice loss detection of glacierets in the Desert and Central Andes of Chile between 2018 and 2023 F. Ugalde et al. https://doi.org/10.3389/feart.2025.1565290
- Physics-guided temporal fusion for long-term daily urban land surface temperature: Accuracy, uncertainty, and interpretability in Geneva, Switzerland S. Hamze-Ziabari & M. Lehning https://doi.org/10.1016/j.uclim.2026.102987
- Thermal dynamics of proglacial lakes in 1990–2023: A case study of Jiongpu Co, Southeastern Tibet B. He et al. https://doi.org/10.1016/j.accre.2026.02.006
Saved (final revised paper)
Latest update: 17 Aug 2026
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...