Landslide Susceptibility Assessment Based on Geological Data and Remote Sensing Processed Data Using Bi-Variate Statistical Model and GIS: A Case Study on Rangamati District, Bangladesh

Abstract Landslide is a major hazard all over the world and a very frequent phenomenon in Southeast Asian mountainous terrain. It has become a frequent phenomenon in the hilly regions of Bangladesh and the Rangamati district is the worst victims. This study aims to identify the landslide susceptible area of Rangamati district according to geological and satellite image processed data of the previously occurred landslide. Geological map of Rangamati District, Landsat 8 OLI images of October-2019 and SRTM images were used for landslide factor data mining. In present study Surface geology, Distance from fault line, Slope Angle, Slope Aspect, NDVI, BSI and NDCI are considered as the major factors related to landslide occurrence. Effects of the selected factors were calculated…