Analysis of landslide susceptibility in a specific region using geospatial techniques

Thesis Abstract

Abstract
This thesis presents a comprehensive analysis of landslide susceptibility in a specific region using geospatial techniques. Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. Understanding the factors that contribute to landslide susceptibility is crucial for effective risk assessment and mitigation strategies. Geospatial techniques offer valuable tools for analyzing and mapping landslide susceptibility by integrating various spatial data layers. The study begins with an introduction that provides background information on landslides and the importance of studying landslide susceptibility. The problem statement highlights the need for accurate and reliable methods to assess landslide susceptibility in the specific region under investigation. The objectives of the study include identifying key factors influencing landslide susceptibility, developing a landslide susceptibility map, and evaluating the effectiveness of geospatial techniques in landslide analysis. The limitations of the study are discussed to acknowledge potential constraints and uncertainties in the research process. The scope of the study defines the geographical extent, data sources, and methodology used for analyzing landslide susceptibility. The significance of the study lies in its contribution to enhancing understanding of landslide susceptibility and informing land use planning and disaster management efforts in the study area. The structure of the thesis outlines the organization of the research, including chapters on literature review, research methodology, discussion of findings, and conclusion. Definitions of key terms are provided to clarify terminology used throughout the thesis. The literature review chapter reviews existing studies on landslide susceptibility assessment, geospatial techniques, and factors influencing landslides. Ten key themes are identified and discussed in relation to the specific region of study. The research methodology chapter describes the data sources, analytical methods, and workflow used to analyze landslide susceptibility, including data collection, processing, and modeling techniques. The chapter on discussion of findings presents the results of the landslide susceptibility analysis, including the identification of high-risk areas and the factors contributing to landslide occurrence. Spatial patterns and relationships between different variables are analyzed to provide insights into the underlying factors influencing landslide susceptibility in the study area. In conclusion, the study summarizes the key findings, implications, and recommendations for future research and practical applications. The thesis contributes to the body of knowledge on landslide susceptibility analysis and demonstrates the utility of geospatial techniques in assessing and mapping landslide hazards. Overall, this research provides valuable insights for land use planners, policymakers, and disaster management agencies to enhance preparedness and resilience to landslide hazards in the specific region under study.