Analysis of Landslide Susceptibility Using Remote Sensing and GIS Techniques

Thesis Abstract

Abstract
Landslides are natural hazards that pose significant threats to communities and infrastructure worldwide. In order to mitigate the risks associated with landslides, it is crucial to accurately assess and map areas susceptible to landslides. This research project focuses on the analysis of landslide susceptibility using remote sensing and GIS techniques. The primary objective of this study is to develop a comprehensive methodology for identifying and mapping areas at high risk of landslides, thereby providing valuable information for land use planning and disaster management. Chapter 1 provides an introduction to the research topic, highlighting the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms related to landslide susceptibility analysis. Chapter 2 presents a detailed literature review covering ten key aspects related to landslides, remote sensing, GIS techniques, and previous studies on landslide susceptibility assessment. Chapter 3 outlines the research methodology, including data collection methods, data processing techniques, and the implementation of remote sensing and GIS tools for landslide susceptibility analysis. This chapter also discusses the selection of study areas, variables considered in the analysis, and the development of a landslide susceptibility model. Chapter 4 presents a comprehensive discussion of the findings obtained from the analysis, including the identification of high-risk landslide areas, the validation of the susceptibility model, and the interpretation of results. This chapter also compares the findings with existing studies and discusses the implications of the results for land use planning and disaster risk reduction. Finally, Chapter 5 provides a summary of the research findings, conclusions drawn from the study, and recommendations for future research in the field of landslide susceptibility analysis. The thesis concludes with a discussion of the practical implications of the research findings and the potential impact on disaster management strategies. Overall, this research project contributes to the ongoing efforts to enhance landslide risk assessment and management through the application of advanced remote sensing and GIS techniques. By improving our understanding of landslide susceptibility, this study aims to support informed decision-making and sustainable development practices in landslide-prone regions.