Landslide Vulnerability Identification Based on the Geological Condition, GIS Calculation, and Field Validation in the Tropical Area

Abstract

This study focuses on mapping areas that are vulnerable to landslides in tropical areas by taking a case study in the district of XIII Koto Kampar, Riau Province, Indonesia, which is in the tropical areas on 0°01'40"N to 0°27'00"N and 100°28'30"E -101°14'30"E. This study aims to determine the characteristics of landslide assessment and the zone mapping of the landslide vulnerability level using a comprehensive method from primary and secondary data. Primary data are Geological Data, Digital Elevation Model (DEM), and Landsat-8 OLI Satellite Imagery Data. Furthermore, secondary data consists of Lithological Data, Slopes Data, Relative Relief Data, Land Wetness Data, Land Cover Data, and 2021 Rainfall Data. The analysis of landslide vulnerability areas in this study is processed using a Geographic Information System (GIS) for scoring and classifying landslide vulnerability areas. From all the processed data, an analysis is carried out to connect and overlay them to get complete data in determining the zoning of the landslide vulnerability classification in the research area. The study in this research area resulted in a landslide vulnerability score and classification that was divided into 4 categories: Very Low Vulnerability area (22.6%), Low Vulnerability area (61.8%), Medium Vulnerability area (15.2%), High Vulnerability area (0.4%).