Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4585-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4585-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Aug 2021
Research article |
| 26 Aug 2021
| 26 Aug 2021
Simulated or measured soil moisture: which one is adding more value to regional landslide early warning?
Mountain Hydrology and Mass Movements Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
Per-Erik Jansson
Department of Land and Water Resources Engineering, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden
Peter Lehmann
Institute of Terrestrial Ecosystems, ETH Zurich,
Universitätstrasse 16, 8092 Zürich, Switzerland
Christian Hauck
Department of Geosciences, University of Fribourg, Chemin du Musée 4, 1700 Fribourg, Switzerland
Manfred Stähli
Mountain Hydrology and Mass Movements Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
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Cited
15 citations as recorded by crossref.
- Effects of agricultural terraces on landslide occurrence: Insights from a tropical mountainous region (Rwanda, Africa) P. Sibomana et al. 10.1016/j.catena.2025.108898
- Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
- Implementation of hydrometeorological thresholds for regional landslide warning in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-023-02094-8
- Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China X. Liang et al. 10.1016/j.ijdrr.2025.105317
- Evolution process and failure mechanism of a large expressway roadside landslide J. Zhang et al. 10.1038/s41598-023-32055-z
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- Assessing the risk of slope failure to highway infrastructure using automated time-lapse electrical resistivity tomography monitoring J. Whiteley et al. 10.1016/j.trgeo.2023.101129
- Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture P. Distefano et al. 10.1007/s10346-023-02132-5
- Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions C. Abancó et al. 10.1007/s10346-024-02242-8
- Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland A. Wicki et al. 10.5194/nhess-23-1059-2023
- Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides S. Zhang et al. 10.1016/j.jhydrol.2025.132873
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al. 10.5194/nhess-25-169-2025
- High Resolution Precipitation and Soil Moisture Data Integration for Landslide Susceptibility Mapping Y. Peiro et al. 10.3390/geosciences14120330
- Extraction of Spatiotemporal Information of Rainfall-Induced Landslides from Remote Sensing T. Zeng et al. 10.3390/rs16163089
- Enhanced identification of hot spots of soil moisture variations across a headwater catchment Y. Jiang et al. 10.1016/j.jhydrol.2024.132531
15 citations as recorded by crossref.
- Effects of agricultural terraces on landslide occurrence: Insights from a tropical mountainous region (Rwanda, Africa) P. Sibomana et al. 10.1016/j.catena.2025.108898
- Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
- Implementation of hydrometeorological thresholds for regional landslide warning in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-023-02094-8
- Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China X. Liang et al. 10.1016/j.ijdrr.2025.105317
- Evolution process and failure mechanism of a large expressway roadside landslide J. Zhang et al. 10.1038/s41598-023-32055-z
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- Assessing the risk of slope failure to highway infrastructure using automated time-lapse electrical resistivity tomography monitoring J. Whiteley et al. 10.1016/j.trgeo.2023.101129
- Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture P. Distefano et al. 10.1007/s10346-023-02132-5
- Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions C. Abancó et al. 10.1007/s10346-024-02242-8
- Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland A. Wicki et al. 10.5194/nhess-23-1059-2023
- Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides S. Zhang et al. 10.1016/j.jhydrol.2025.132873
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al. 10.5194/nhess-25-169-2025
- High Resolution Precipitation and Soil Moisture Data Integration for Landslide Susceptibility Mapping Y. Peiro et al. 10.3390/geosciences14120330
- Extraction of Spatiotemporal Information of Rainfall-Induced Landslides from Remote Sensing T. Zeng et al. 10.3390/rs16163089
- Enhanced identification of hot spots of soil moisture variations across a headwater catchment Y. Jiang et al. 10.1016/j.jhydrol.2024.132531
Latest update: 30 Mar 2025
Short summary
Soil moisture information was shown to be valuable for landslide prediction. Soil moisture was simulated at 133 sites in Switzerland, and the temporal variability was compared to the regional occurrence of landslides. We found that simulated soil moisture is a good predictor for landslides, and that the forecast goodness is similar to using in situ measurements. This encourages the use of models for complementing existing soil moisture monitoring networks for regional landslide early warning.
Soil moisture information was shown to be valuable for landslide prediction. Soil moisture was...
