Project Abstract

Abstract
Landslides pose significant threats to human lives and infrastructure in mountainous regions worldwide. The use of Geographic Information Systems (GIS) has emerged as a powerful tool for analyzing and assessing landslide susceptibility. This research project focuses on the analysis of landslide susceptibility using GIS in a specific mountainous region. The study aims to investigate the factors contributing to landslide occurrences and develop a predictive model to assess vulnerability to landslides in the study area. Chapter 1 provides an introduction to the research, including the background of the study, problem statement, objectives, limitations, scope, significance, structure of the research, and definitions of key terms. Chapter 2 presents a comprehensive literature review covering ten key aspects related to landslide susceptibility, GIS applications in landslide analysis, and relevant studies in the field. Chapter 3 outlines the research methodology, including data collection methods, GIS techniques, landslide susceptibility modeling approaches, validation methods, and analysis procedures. The research methodology in Chapter 3 encompasses eight key components, including data collection methods, GIS techniques, landslide susceptibility modeling approaches, validation methods, and analysis procedures. Chapter 4 presents a detailed discussion of the research findings, including the identification of landslide-prone areas, analysis of contributing factors, and the development of a landslide susceptibility map using GIS. The chapter also discusses the implications of the findings and their relevance to landslide risk management in the study area. In Chapter 4, the discussion of findings includes seven key items, such as the identification of landslide-prone areas, analysis of contributing factors, development of a susceptibility map, and implications for risk management. Finally, Chapter 5 presents the conclusion and summary of the research project, highlighting the key findings, implications for future research, and recommendations for mitigating landslide risks in the study area. Overall, this research project contributes to the understanding of landslide susceptibility in mountainous regions and demonstrates the effectiveness of GIS in assessing and managing landslide hazards. Keywords Landslide susceptibility, Geographic Information Systems (GIS), Mountainous region, Risk assessment, Hazard mapping, Data analysis, Remote sensing, Geographic data modeling.

Project Overview