A REVIEW OF TECHNIQUES OF LANDSLIDE SUSCEPTIBILITY MAPPING USING GIS

Landslides are a big problem in the hilly areas. If the slopes along the roads are failed then these can create the jamming of traffic and also sometimes results in the fatal accidents. In the residential areas the landslides can result in disaster sometimes. The landslide susceptibility mapping of the landslide prone areas has been proved a very useful tool in planning and the mitigation of the problems in the field of landslides. Geographical Information System (GIS) has proved a very effective tool in the field of landslide mapping and risk assessment. There are different techniques i.e. quantitative approach, neural networks, fuzzy logic etc. which are used in landslide susceptibility mapping. Each of the techniques has its own advantages and disadvantages. The proposed study gives a review about the different techniques that are used in landslide susceptibility mapping and suggests the advantages and disadvantages of each technology. The present study basically compares the fuzzy logic, analytic hierarchy process and the statistical method. Fuzzy logic is found to be the most accurate method as compared to the other methods of susceptibility mapping, while the analytic hierarchy process depends upon the user perception.