Thesis Abstract

Abstract
This thesis explores the application of Geographic Information System (GIS) technology in analyzing landslide susceptibility in a specific area. Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. GIS has emerged as a powerful tool for assessing and mapping landslide susceptibility by integrating various spatial data layers and analytical techniques. The specific area chosen for this study is critical due to its history of landslides and the potential impact on the local community. Chapter 1 provides an introduction to the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms related to GIS and landslide susceptibility analysis. Chapter 2 presents a comprehensive literature review that examines existing studies on GIS applications in landslide susceptibility analysis. The review covers key concepts, methodologies, and case studies from different regions around the world, highlighting the importance of GIS in understanding landslide processes and improving risk management strategies. Chapter 3 details the research methodology employed in this study. It includes the selection of study area, data collection methods, GIS techniques used for spatial analysis, landslide susceptibility modeling approaches, validation techniques, and software tools utilized for data processing and visualization. The chapter also discusses the limitations and assumptions made during the research process. Chapter 4 presents a detailed discussion of the findings obtained from the GIS analysis of landslide susceptibility in the specific area. The chapter outlines the spatial distribution of landslide susceptibility zones, factors influencing landslide occurrence, and the accuracy of the susceptibility model. It also compares the results with ground truth data and discusses the implications for land use planning and disaster risk reduction efforts. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications of the research, and providing recommendations for future studies and practical applications. The study contributes to the advancement of knowledge in GIS-based landslide susceptibility analysis and provides valuable insights for decision-makers and stakeholders involved in disaster risk management. In conclusion, this thesis demonstrates the effectiveness of GIS technology in assessing landslide susceptibility in a specific area and highlights its potential for enhancing hazard mapping, risk assessment, and mitigation strategies. By integrating spatial data and advanced analytical tools, GIS offers a valuable approach for understanding landslide processes and supporting proactive measures to reduce the impact of landslides on vulnerable communities.

Thesis Overview

The project titled "Application of GIS in analyzing landslide susceptibility in a specific area" aims to utilize Geographic Information System (GIS) technology to assess and analyze the susceptibility of landslides in a defined geographical region. Landslides are a significant natural hazard that can cause extensive damage to infrastructure, property, and pose risks to human lives. By employing GIS tools and spatial analysis techniques, this research seeks to enhance the understanding of landslide susceptibility factors and provide valuable insights for effective risk management and mitigation strategies. The research will begin with a comprehensive introduction laying out the background of the study, the problem statement, research objectives, limitations, scope, significance, and the structure of the thesis. This section will also include the definition of key terms related to GIS, landslides, susceptibility, and other relevant concepts. The literature review section will delve into existing studies, methodologies, and findings related to GIS applications in landslide susceptibility analysis. This critical analysis will provide a foundation for the research methodology by identifying gaps in current knowledge and highlighting areas for further investigation. The research methodology will outline the data collection methods, GIS techniques, and spatial analysis tools to be used in assessing landslide susceptibility. This section will detail the selection criteria for the study area, data sources, data preprocessing steps, and the application of statistical and spatial analysis models to identify and quantify landslide susceptibility factors. The discussion of findings section will present and analyze the results obtained from the GIS analysis, highlighting the spatial distribution of landslide susceptibility zones, key contributing factors, and potential risk areas within the study area. The findings will be compared with existing literature and discussed in the context of regional geology, land use patterns, climatic factors, and human activities that influence landslide susceptibility. Finally, the conclusion and summary chapter will provide a comprehensive overview of the research findings, implications for landslide risk management, and recommendations for future research directions. This section will emphasize the significance of GIS technology in enhancing landslide susceptibility analysis, improving risk assessment, and supporting informed decision-making processes for sustainable land use planning and disaster mitigation strategies. Overall, this research project on the "Application of GIS in analyzing landslide susceptibility in a specific area" aims to contribute to the growing body of knowledge on landslide risk assessment and management, with practical implications for enhancing disaster resilience and promoting sustainable development practices in landslide-prone regions.