Analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region.

Thesis Abstract

Abstract
Landslides are natural hazards that pose significant risks to human lives and infrastructure in various regions worldwide. This thesis investigates the susceptibility of landslides using remote sensing and Geographic Information System (GIS) techniques in a specific region. The study focuses on assessing the factors contributing to landslide occurrence, developing a susceptibility model, and providing valuable insights for landslide risk mitigation and management strategies. The introductory chapter sets the stage for the research by providing a background of landslides, emphasizing the importance of understanding landslide susceptibility, and outlining the objectives, limitations, scope, and significance of the study. The structure of the thesis is also presented to guide the reader through the research flow. Chapter two presents a comprehensive literature review that examines existing studies on landslide susceptibility assessment, remote sensing, GIS applications in landslide analysis, and relevant methodologies for developing susceptibility models. The review highlights the significance of integrating remote sensing and GIS technologies in landslide studies and identifies key factors influencing landslide susceptibility. Chapter three details the research methodology employed in this study, including data collection methods, remote sensing techniques, GIS tools, and the steps involved in developing the landslide susceptibility model. The chapter also discusses the selection of the study area, data preprocessing procedures, and the application of statistical and spatial analysis techniques. In chapter four, the findings of the study are presented and discussed in detail. The susceptibility model developed using remote sensing and GIS data is evaluated, and the role of various factors in influencing landslide susceptibility is analyzed. The chapter also includes a spatial visualization of the susceptibility map, highlighting areas at high risk of landslides in the specific region. The final chapter, chapter five, provides a summary of the research findings, conclusions drawn from the study, and recommendations for future research and practical applications. The thesis concludes by emphasizing the importance of proactive landslide risk management strategies based on the developed susceptibility model to enhance disaster preparedness and response in the specific region. Overall, this thesis contributes to the field of geology and natural hazard management by demonstrating the effectiveness of remote sensing and GIS techniques in analyzing landslide susceptibility. The study provides a valuable framework for assessing landslide risk in specific regions and offers insights that can inform decision-making processes for disaster risk reduction and sustainable development practices.