Analysis of Landslide Susceptibility in a Mountainous Region Using GIS Techniques

Thesis Abstract

Abstract
Landslides pose a significant threat to communities living in mountainous regions worldwide, leading to loss of life, property damage, and disruption of infrastructure. The use of Geographic Information System (GIS) techniques has emerged as a valuable tool for analyzing landslide susceptibility and identifying high-risk areas. This thesis focuses on the analysis of landslide susceptibility in a specific mountainous region using GIS techniques. The study begins with a comprehensive literature review to understand the current state of knowledge in landslide susceptibility assessment and the application of GIS technology in this field. Various factors contributing to landslides, such as slope gradient, geology, land cover, precipitation, and human activities, are explored in the literature review to provide a solid foundation for the research. The research methodology section outlines the approach taken to collect and analyze data for the study. Methods such as remote sensing, field surveys, and GIS modeling techniques are employed to gather information on the factors influencing landslide susceptibility in the study area. The data is processed and analyzed using GIS software to develop a landslide susceptibility map that identifies high, moderate, and low-risk zones within the region. The findings of the study are presented and discussed in detail in the results chapter. The landslide susceptibility map generated through GIS analysis is analyzed to identify the key factors influencing landslide occurrence in the study area. The results highlight the areas most vulnerable to landslides, providing valuable information for land use planning, disaster risk reduction, and emergency response efforts. In conclusion, this thesis contributes to the field of landslide susceptibility assessment by demonstrating the effectiveness of GIS techniques in analyzing and mapping landslide-prone areas. The study provides valuable insights for policymakers, land use planners, and emergency responders to better prepare for and mitigate the impacts of landslides in mountainous regions. Future research directions are also suggested to further enhance the accuracy and reliability of landslide susceptibility assessments using GIS technology. Keywords Landslide susceptibility, GIS techniques, Mountainous region, Risk assessment, Geospatial analysis.