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
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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1,884
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Viewed (geographical distribution)
Total article views: 3,757 (including HTML, PDF, and XML)
Thereof 3,534 with geography defined
and 223 with unknown origin.
Total article views: 2,719 (including HTML, PDF, and XML)
Thereof 2,607 with geography defined
and 112 with unknown origin.
Total article views: 1,038 (including HTML, PDF, and XML)
Thereof 927 with geography defined
and 111 with unknown origin.
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...
