Landslide risk assessement in Hulu Langat, Selangor using weighted overlay method / Abdul Wafi Hilmin

Landslide susceptibility mapping is a crucial component in disaster risk management and urban planning, especially in regions prone to such natural disasters. This research employs the weight overlay method to construct an intricate LandsHde Susceptibility Map (LSM) for Hulu Langat, Selangor, by integrating various topographical and environmental factors. The study area, characterized by its hilly terrain and frequent landslide occurrences, presents an ideal setting for the application of Light Detection and Ranging (LiDAR) technology. This study aims to utilize DEM data to advance the precision of current landslide risk assessments significantly. The research methodology encompasses the collection of high-resolution DEM data, analysis of landslide conditioning factors such as slope, aspect, curvature, distance from streams, and roads and the development of a detailed LSM. The study area's topography, hydrology, vegetation, land use, and climatic conditions are methodically examined to identify areas at risk of landslides. In addition, the study leverages Geographic Information System (GIS) tools for data processing and analysis, with ArcMap 10.8 being the primary software used. Findings from this research are anticipated to enrich the accuracy of landslide hazard mapping, providing valuable insights for emergency response planning, and informing mitigation efforts. The LSM offers a nuanced understanding of landslide dynamics, informing more resilient and sustainable management of the natural landscape in Hulu Langat. The results highhght the need for continuous monitoring and updating of the LSM to account for environmental changes and anthropogenic activities.