In this paper, two simple GIS-based methodologies have been used to assess thelandslide susceptibility in a basin located in Southern Italy. The methodologies at issue, basedon the spatial distribution of landslides and/or of causal factors, are bivariate statistics-basedand expert-based, respectively. The spatial distribution of both the landslides and the causalfactors has been investigated by integrating pre-existing and original data, which have beenprocessed using ArcView GIS 3.2 software. The obtained results, consisting of landslidesusceptibility maps have been compared and discussed. The bivariate statistics-based methodhas provided the most satisfying results. On the contrary, the expert-based method has provideda classification of the study area in terms of landslide susceptibility which does not completelyfit with the surveyed spatial distribution of the landslides.

Comparison of GIS-based methodologies for the landslide susceptibility assessment

MAGLIULO P
;
RUSSO F
2009-01-01

Abstract

In this paper, two simple GIS-based methodologies have been used to assess thelandslide susceptibility in a basin located in Southern Italy. The methodologies at issue, basedon the spatial distribution of landslides and/or of causal factors, are bivariate statistics-basedand expert-based, respectively. The spatial distribution of both the landslides and the causalfactors has been investigated by integrating pre-existing and original data, which have beenprocessed using ArcView GIS 3.2 software. The obtained results, consisting of landslidesusceptibility maps have been compared and discussed. The bivariate statistics-based methodhas provided the most satisfying results. On the contrary, the expert-based method has provideda classification of the study area in terms of landslide susceptibility which does not completelyfit with the surveyed spatial distribution of the landslides.
2009
Landslide susceptibility, GIS, Geomorphology, Southern Italy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/4514
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