Landslide susceptibility mapping is a fundamental tool for disaster management and planning development activities in mountainous areas. The landslide susceptibility maps produced in the present work represent a step forward in the management of landslide hazard in the Germanasca valley (Western Alps, NW Italy). Landslide susceptibility analysis was conducted using a Geographic Information System (GIS) and a specific ARCGIS® toolbox called ModelBuilder. In the specific case eight predisposing factors were considered: surface and bedrock lithology, distance from drainage, altitude, planaform curvature, profile curvature, slope, aspect and land use. A dedicated MATLAB routine has been developed for calculating the correlation of landslide to each factor using the logistic regression method.

Landslide susceptibility zoning using GIS tools: an application in the Germanasca Valley (NW Italy)

FORNO, Maria Gabriella;
2015

Abstract

Landslide susceptibility mapping is a fundamental tool for disaster management and planning development activities in mountainous areas. The landslide susceptibility maps produced in the present work represent a step forward in the management of landslide hazard in the Germanasca valley (Western Alps, NW Italy). Landslide susceptibility analysis was conducted using a Geographic Information System (GIS) and a specific ARCGIS® toolbox called ModelBuilder. In the specific case eight predisposing factors were considered: surface and bedrock lithology, distance from drainage, altitude, planaform curvature, profile curvature, slope, aspect and land use. A dedicated MATLAB routine has been developed for calculating the correlation of landslide to each factor using the logistic regression method.
Engineering Geology for Society and Territory. Landslide Processes
Springer
2
177
181
9783319090566
http://www.iaeg2014.c
Susceptibility; Landslide; Germanasca valley
Taddia G.; Gnavi L.; Piras M.; Forno M. G.; Lingua A.; Lo Russo S.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/156627
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