In order to mitigate hazards of mass failure, the first step is the identification of potentially unstable slopes, resulting in a landslide susceptibility map. Satellite imagery is an important component in the derivation of critical parameters. Susceptibility maps can be constructed in a variety of ways, including multivariate statistics, heuristic models, and geotechnical models. Each method ...

The paper addresses a landslide-prone area on Fruška Gora Mt. in NW Serbia. It proposes a model of relative landslide susceptibility based on fuzzy sets. Having a variety of spatial attributes (proven statistically significant) at disposal, as well as present landslide inventory map, we conducted systematic analysis through (i) assigning fuzzy memberships to attribute categories, and (ii) combi...

The clear need for accurate landslide susceptibility mapping has led to multiple approaches. Physical models are easily interpreted and have high predictive capabilities but rely on spatially explicit and accurate parameterization, which is commonly not possible. Statistical methods can include other factors influencing slope stability such as distance to roads, but rely on good landslide inven...

â â â  the study area is located in the wes of iran, the southwest part of “bisetoon” mountain, and kermanshah city. it covers an area of ~1489 km2 . landslide have been the most common natural phenomenon in the area, which usually is triggered by heavy rainfall and seismic activities. although there are few active landslides in the area, but they are serious threats for population and infr...

Statistical classification techniques complemented by GIS yield good results in predicting landslide hazard/ susceptibility. In this work, several well-known classification methods are applied to data from distinct alpine areas in Vorarlberg, Austria. It is shown that kernel methods (Support Vector Machines – SVM – and Gaussian Processes) outperform classic techniques for this task. As a furthe...

In thepresent study,ArtificialNeuralNetwork (ANN)hasbeen implemented toderive ratingsof categories of causative factors, which are then integrated to produce a landslide susceptibility zonation map in an

Triggered by earthquakes, rainfall, or anthropogenic activities, landslides represent widespread and problematic geohazards worldwide. In recent years, multiple remote sensing techniques, including synthetic aperture radar, optical, and light detection and ranging measurements from spaceborne, airborne, and ground-based platforms, have been widely applied for the analysis of landslide processes...

The aim of this study is to cross-verify of multiple logistic model at Korea using a Geographic Information System (GIS). Landslide locations were identified in the 3 study areas from interpretation of aerial photographs and satellite image, field surveys, and maps of the topography, soil type, forest cover and land cover were constructed to spatial data-sets. The factors that influence landsli...