Analysis of Landslide Susceptibility Using Remote Sensing and Geographic Information Systems in a Specific Region

Thesis Abstract

Abstract
Landslides are natural hazards that pose significant threats to communities and infrastructure in various regions worldwide. Understanding the factors contributing to landslide susceptibility is crucial for effective risk assessment and mitigation strategies. This thesis presents a comprehensive analysis of landslide susceptibility using remote sensing and Geographic Information Systems (GIS) in a specific region. The study area, located in [specific region], has experienced recurrent landslide events, making it an ideal case study for investigating landslide susceptibility. The research begins with an introduction (Chapter 1) that provides background information on landslides, highlights the problem statement, outlines the objectives of the study, discusses the limitations and scope of the research, emphasizes the significance of the study, and presents the structure of the thesis. Chapter 2 presents a detailed literature review covering ten key areas related to landslide susceptibility, remote sensing, GIS applications, and relevant methodologies. Chapter 3 focuses on the research methodology, detailing the data collection process, remote sensing techniques employed, GIS analysis methods, and validation procedures. The methodology section also discusses the selection criteria for landslide susceptibility factors, data preprocessing steps, and the development of a susceptibility model using remote sensing data and GIS tools. In Chapter 4, the findings of the study are extensively discussed, including the identification of landslide susceptibility factors, the creation of a susceptibility map, and the evaluation of model performance. The results highlight the significance of factors such as slope gradient, land cover, rainfall intensity, and lithology in determining landslide susceptibility in the study area. The discussion also addresses the strengths and limitations of the susceptibility model developed and provides insights into the practical implications for landslide risk management. Finally, Chapter 5 presents the conclusion and summary of the thesis, summarizing the key findings, discussing the implications for future research, and providing recommendations for enhancing landslide susceptibility mapping using remote sensing and GIS technologies. The research contributes to the existing knowledge on landslide susceptibility assessment and demonstrates the effectiveness of integrating remote sensing and GIS for spatial analysis in landslide-prone regions. In conclusion, this thesis offers valuable insights into the analysis of landslide susceptibility using remote sensing and GIS techniques, providing a foundation for improved landslide risk assessment and management strategies in the specific region and beyond. The findings of this research can inform decision-makers, policymakers, and stakeholders in developing proactive measures to mitigate landslide hazards and enhance community resilience in vulnerable areas. Keywords Landslide susceptibility, Remote sensing, Geographic Information Systems, Spatial analysis, Risk assessment, Hazard mapping, GIS modeling, Landslide mitigation.