Landslide Susceptibility Assessment Using Geo-Informatic and Normalized Difference Vegetation Index Techniques in Satun Province

Abstract

This paper presents landslide susceptibility mapping using Geo-informatic and Normalized Difference Vegetation Index (NDVI) techniques for Satun province. In this study, employing 7 parameters consisted of maximum rainfall, rock unit, slope, land use, buffer fault, aspect, elevation, and NDVI. Landslide analysis was accomplished using ArcGIS and ERDAS Imagine compact software. Base on analysis result provided the distribution of risk areas that can be classified into non risk, low risk, moderate risk and high risk. Whole of landslide susceptibility area covered 170,034.66 rai or about 9.82% of the Satun area. Khuan Kalong district had highest landslide susceptibility area of 53,846.61 rai.