Landslide susceptibility mapping using LiDAR derived factors and frequency ratio model: Ulu Klang area, Malaysia

Abstract

Landslides are one of the most important natural hazards which have been a major focus of investigation for international community. The consequences from its occurrences are highly contributed to enormous damages and economical losses in Malaysia. This has been recognized by many professional authorities and has led to a number of landslide hazard and risk mapping both in qualitative and quantitative ways. In this research, LiDAR data was used to generate landslide geomorphological surface. The landslide conditioning factors considered for the study area were slope gradient, curvature, topographic wetness index and soil type. The correlation of each parameter with landslide occurrences was then measured by using probabilistic based frequency ratio method and landslide susceptibility map was produced. The landslide susceptibility map can be very useful for general landuse planning.