Feature-Based Landslide Susceptibility and Hazard Zonation Maps using Fuzzy Overlay Analysis

Abstract

landslide events are natural geographical disasters resulting in a massive loss of human lives, as well as severe destruction to natural resources. This work highlights Landslide Susceptibility Mapping (LSM) and Landslide Hazards Zonation (LHZ) mapping using the fuzzy overlay analysis method with the help of the Geographical Information Systems (GIS) and Remote Sensing (RS) technique. The primary aim of the work is to produce, compare, and authenticate landslide vulnerability zones. The eight different types of landslide causality factors are used for the generation of the LSM. The LSM was created by computing the relationship between the landslide causality factors with landslide positions in the past. The LHZ map was characterized into five different hazard zones: scars, high, moderate, low, and very low susceptible zones. The LSM and LHZ maps could be precious in the identification of the most sensitive zones, which is very serious for investigating risk management, and community and regional development.