Landslides are major natural hazards which not only result in the loss of human life but also cause economic burden on the society. Therefore, it is essential to develop suitable models to evaluate the susceptibility of slope failures and their zonations. This paper scientifically assesses various methods of landslide susceptibility zonation in GIS environment. A comparative study of Weights of...

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

A joint conditional probability model is proposed to represent a measure of a future landslide hazard, and five estimation procedures for the model are presented. The distribution of past landslides was divided into two groups with respect to a fixed time. A training set consisting of the earlier landslides and the geographical information system-based multi-layer spatial data in the study area...

We are designing a system to forecast rainfall-induced landslides in Italy. The system is based on a set of rainfall thresholds for the possible initiation of landslides, and an ensemble of small scale landslide hazard and risk zonations. Rainfall thresholds include existing and new, national, regional and local empirical thresholds of the intensity-duration (ID) and normalized-ID types. The ne...

Landslide susceptibility assessment is a fundamental component of effective landslide prevention. One of the main challenges in landslides forecasting is the assessment of spatial distribution of landslide susceptibility. Despite the many different approaches, landslide susceptibility assessment still remains a challenge. A semi-quantitative method is proposed combining heuristic, deterministic...