Thesis Abstract

Abstract
Landslides pose a significant threat to communities and infrastructure worldwide, resulting in loss of life, property damage, and disruption to livelihoods. To effectively mitigate this risk, advanced technologies such as Remote Sensing and Geographic Information Systems (GIS) are increasingly being utilized for landslide analysis and hazard mapping. This thesis presents a comprehensive study on the analysis of landslide risk using remote sensing and GIS techniques, focusing on a specific geographic area prone to landslides. The research begins with an introduction (Chapter 1) that provides background information on landslides, highlights the problem statement, states the objectives of the study, outlines the limitations and scope of the research, discusses the significance of the study, and presents the structure of the thesis. The definitions of key terms related to landslides, remote sensing, and GIS are also provided to establish a common understanding of the concepts discussed throughout the thesis. Chapter 2 consists of a detailed literature review that explores existing studies, methodologies, and technologies related to landslide risk analysis, remote sensing, and GIS applications. This chapter provides a comprehensive overview of the current state of knowledge in the field and identifies gaps that the present research aims to address. Chapter 3 delves into the research methodology, outlining the approach taken to analyze landslide risk using remote sensing and GIS techniques. This chapter includes details on data collection methods, data processing techniques, modeling procedures, and validation methods employed in the study. It also discusses the selection criteria for the study area and justifies the chosen methodology. Chapter 4 presents an in-depth discussion of the findings obtained from the application of remote sensing and GIS techniques to analyze landslide risk. The results of the study are analyzed and interpreted, highlighting key trends, patterns, and areas of high landslide susceptibility identified through the analysis. The implications of these findings for landslide risk management and mitigation strategies are discussed in detail. Finally, Chapter 5 provides a conclusion and summary of the project thesis, summarizing the key findings, discussing the implications of the research, and offering recommendations for future studies. The conclusions drawn from the study contribute to the body of knowledge on landslide risk analysis and underscore the importance of employing remote sensing and GIS techniques for effective landslide hazard mapping and risk assessment. Overall, this thesis contributes to the advancement of knowledge in the field of landslide risk analysis by demonstrating the effectiveness of remote sensing and GIS techniques in identifying and assessing landslide hazards. The findings of the study have practical implications for disaster management authorities, urban planners, and other stakeholders involved in mitigating the impact of landslides on vulnerable communities and infrastructure.

Thesis Overview