Articles | Volume 23, issue 3
https://doi.org/10.5194/nhess-23-1059-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-1059-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
Peter Lehmann
ETH Zurich, Institute of Terrestrial Ecosystems,
Universitätstrasse 16, 8092 Zürich, Switzerland
Christian Hauck
Department of Geosciences, University of Fribourg, Chemin du Musée 4, 1700 Fribourg, Switzerland
Manfred Stähli
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
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Cited
16 citations as recorded by crossref.
- Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau L. Yong et al. https://doi.org/10.5194/hess-30-1585-2026
- Landslide Hazard Assessment Under Record-Breaking Extreme Rainfall: Integration of SBAS-InSAR and Machine Learning Models W. Zheng et al. https://doi.org/10.3390/rs17132265
- Optimising landslide initiation modelling with high-resolution saturation prediction based on soil moisture monitoring data T. Halter et al. https://doi.org/10.1007/s10346-024-02304-x
- Evaluating the applicability of simulated soil moisture index in forecasting post-earthquake debris flows Z. Wei et al. https://doi.org/10.1016/j.enggeo.2026.108557
- Assessment of flood susceptibility in the Oti Region of Ghana utilizing GIS-based analytical hierarchy process and frequency ratio model R. Frimpong et al. https://doi.org/10.1016/j.jafrearsci.2026.106148
- Topographic and Climatic Determinants of Soil Organic Carbon Across Landscapes: A Meta‐Analysis V. Sharma et al. https://doi.org/10.1002/ldr.70880
- From disturbance to resilience: early microbial community establishment in landslide soils of New Zealand O. Rasigraf et al. https://doi.org/10.1093/femsec/fiag086
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al. https://doi.org/10.5194/nhess-25-169-2025
- Time series analysis of slope displacements using UAV photogrammetry and its relationship with rainfall intensity N. Kim et al. https://doi.org/10.1007/s10346-024-02249-1
- Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm S. Segoni et al. https://doi.org/10.1016/j.scitotenv.2025.180355
- Vegetation Transitions and Environmental Controls on Alpine Hydrology L. Duurkoop et al. https://doi.org/10.1007/s10021-026-01056-0
- Landslide susceptibility modelling in the Doda Kishtwar Ramban (DKR) region of Jammu and Kashmir using Remote Sensing and Geographic Information System A. Taloor et al. https://doi.org/10.1016/j.qsa.2024.100189
- Robust automated detection of small-scale rainfall-induced landslides in Italy Using SegFormer and high-resolution satellite imagery A. Riche et al. https://doi.org/10.1038/s41598-026-51173-y
- Recent advancements of landslide hydrology R. Greco et al. https://doi.org/10.1002/wat2.1675
- Soil slope monitoring with Distributed Acoustic Sensing under wetting and drying cycles J. Kang et al. https://doi.org/10.5194/esurf-13-1133-2025
- Low-Cost Sensors for the Measurement of Soil Water Content for Rainfall-Induced Shallow Landslide Early Warning Systems M. Pavanello et al. https://doi.org/10.3390/w16223244
16 citations as recorded by crossref.
- Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau L. Yong et al. https://doi.org/10.5194/hess-30-1585-2026
- Landslide Hazard Assessment Under Record-Breaking Extreme Rainfall: Integration of SBAS-InSAR and Machine Learning Models W. Zheng et al. https://doi.org/10.3390/rs17132265
- Optimising landslide initiation modelling with high-resolution saturation prediction based on soil moisture monitoring data T. Halter et al. https://doi.org/10.1007/s10346-024-02304-x
- Evaluating the applicability of simulated soil moisture index in forecasting post-earthquake debris flows Z. Wei et al. https://doi.org/10.1016/j.enggeo.2026.108557
- Assessment of flood susceptibility in the Oti Region of Ghana utilizing GIS-based analytical hierarchy process and frequency ratio model R. Frimpong et al. https://doi.org/10.1016/j.jafrearsci.2026.106148
- Topographic and Climatic Determinants of Soil Organic Carbon Across Landscapes: A Meta‐Analysis V. Sharma et al. https://doi.org/10.1002/ldr.70880
- From disturbance to resilience: early microbial community establishment in landslide soils of New Zealand O. Rasigraf et al. https://doi.org/10.1093/femsec/fiag086
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al. https://doi.org/10.5194/nhess-25-169-2025
- Time series analysis of slope displacements using UAV photogrammetry and its relationship with rainfall intensity N. Kim et al. https://doi.org/10.1007/s10346-024-02249-1
- Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm S. Segoni et al. https://doi.org/10.1016/j.scitotenv.2025.180355
- Vegetation Transitions and Environmental Controls on Alpine Hydrology L. Duurkoop et al. https://doi.org/10.1007/s10021-026-01056-0
- Landslide susceptibility modelling in the Doda Kishtwar Ramban (DKR) region of Jammu and Kashmir using Remote Sensing and Geographic Information System A. Taloor et al. https://doi.org/10.1016/j.qsa.2024.100189
- Robust automated detection of small-scale rainfall-induced landslides in Italy Using SegFormer and high-resolution satellite imagery A. Riche et al. https://doi.org/10.1038/s41598-026-51173-y
- Recent advancements of landslide hydrology R. Greco et al. https://doi.org/10.1002/wat2.1675
- Soil slope monitoring with Distributed Acoustic Sensing under wetting and drying cycles J. Kang et al. https://doi.org/10.5194/esurf-13-1133-2025
- Low-Cost Sensors for the Measurement of Soil Water Content for Rainfall-Induced Shallow Landslide Early Warning Systems M. Pavanello et al. https://doi.org/10.3390/w16223244
Saved (final revised paper)
Latest update: 04 Sep 2026
Short summary
Soil wetness measurements are used for shallow landslide prediction; however, existing sites are often located in flat terrain. Here, we assessed the ability of monitoring sites at flat locations to detect critically saturated conditions compared to if they were situated at a landslide-prone location. We found that differences exist but that both sites could equally well distinguish critical from non-critical conditions for shallow landslide triggering if relative changes are considered.
Soil wetness measurements are used for shallow landslide prediction; however, existing sites are...
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