GIS techniques for regional-scale landslide susceptibility assessment: the Sicily (Italy) case study

摘要: This study describes the assessment of landslide susceptibility in Sicily (Italy) at a 1:100,000 scale using multivariate logistic regression model. The model was implemented GIS environment by ArcSDM (Arc Spatial Data Modeller) module, modified to develop spatial prediction through regional data sets. A newly developed algorithm used automatically extract detachment area from mapped polygons. following factors were selected as independent variables model: slope gradient, lithology, land cover, curve number derived index and pluviometric anomaly index. above-described configuration has been verified be best one among others employing three eight factors. All coefficients parameters calculated training results analysis validated an set. On average, 82% affected instability 79% not...