Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/42828
Title: Mapping landslide prediction through a GIS-based model: A case study in a catchment in southern Italy
Authors: Moresi, Federico Valerio 
Maesano, Mauro 
Collalti, Alessio
Sidle, Roy C.
Matteucci, Giorgio
Scarascia Mugnozza, Giuseppe 
Journal: GEOSCIENCES 
Issue Date: 2020
Abstract: 
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Shallow landslides are an increasing concern in Italy and worldwide because of the frequent association with vegetation management. As vegetation cover plays a fundamental role in slope stability, we developed a GIS-based model to evaluate the influence of plant roots on slope safety, and also included a landslide susceptibility map. The GIS-based model, 4SLIDE, is a physically based predictor for shallow landslides that combines geological, topographical, and hydrogeological data. The 4SLIDE combines the infinite slope model, TOPMODEL (for the estimation of the saturated water level), and a vegetation root strength model, which facilitates prediction of locations that are more susceptible for shallow landslides as a function of forest cover. The aim is to define the spatial distribution of Factor of Safety (FS) in steep-forested areas. The GIS-based model 4SLIDE was tested in a forest mountain watershed located in the Sila Greca (Cosenza, Calabria, South Italy) where almost 93% of the area is covered by forest. The sensitive ROC analysis (Receiver Operating Characteristic) indicates that the model has good predictive capability in identifying the areas sensitive to shallow landslides. The localization of areas at risk of landslides plays an important role in land management activities because landslides are among the most costly and dangerous hazards.
URI: http://hdl.handle.net/2067/42828
ISSN: 2076-3263
DOI: 10.3390/geosciences10080309
Rights: CC0 1.0 Universal
Appears in Collections:A1. Articolo in rivista

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