Thesis Abstract

Abstract
Landslides are a natural hazard that poses a significant threat to communities living in mountainous regions. Geographic Information Systems (GIS) have emerged as a powerful tool for analyzing and assessing landslide susceptibility. This thesis focuses on the analysis of landslide susceptibility using GIS in a mountainous region, with the aim of providing valuable insights into the factors influencing landslide occurrence and aiding in the development of effective mitigation strategies. The study begins with a comprehensive introduction that outlines the background of the research, the problem statement, objectives, limitations, scope, significance, and the structure of the thesis. Definitions of key terms related to landslides and GIS are also provided to ensure clarity and understanding. Chapter two of the thesis presents a detailed literature review that explores existing research on landslide susceptibility assessment, GIS applications in landslide analysis, and relevant methodologies used in similar studies. The review highlights the importance of incorporating spatial analysis techniques and remote sensing data in landslide susceptibility modeling. Chapter three focuses on the research methodology employed in this study. The methodology includes data collection techniques, GIS tools and software used for spatial analysis, selection of landslide susceptibility factors, modeling approaches, validation methods, and uncertainty assessment procedures. The chapter provides a step-by-step guide on how the research was conducted to ensure transparency and reproducibility. Chapter four presents the findings of the study, including the spatial distribution of landslide susceptibility in the mountainous region, the influence of environmental factors on landslide occurrence, and the accuracy of the susceptibility model. The discussion delves into the implications of the findings and their relevance for landslide risk management and disaster preparedness. In the final chapter, a comprehensive conclusion and summary of the thesis are provided. The key findings, limitations of the study, recommendations for future research, and practical implications for stakeholders are discussed. The thesis concludes with a call to action for the implementation of proactive measures to mitigate landslide risk in mountainous regions. Overall, this thesis contributes to the growing body of knowledge on landslide susceptibility assessment using GIS and provides valuable insights that can inform decision-making processes and enhance disaster resilience in mountainous areas prone to landslides.

Thesis Overview

The project titled "Analysis of Landslide Susceptibility Using Geographic Information Systems (GIS) in a Mountainous Region" aims to investigate and analyze the factors contributing to landslide susceptibility in a mountainous region using Geographic Information Systems (GIS) technology. Landslides are natural hazards that pose significant risks to human life, infrastructure, and the environment in mountainous areas. By leveraging GIS tools, this research seeks to enhance our understanding of the spatial distribution and characteristics of landslides, as well as the underlying factors that influence their occurrence. The study will begin with a comprehensive literature review to explore existing knowledge on landslide susceptibility assessment methods, GIS applications in landslide studies, and the geological and environmental factors that contribute to landslides in mountainous regions. This review will provide a foundation for the research methodology, guiding the selection of appropriate data sources, analysis techniques, and modeling approaches for assessing landslide susceptibility. The research methodology will involve the collection of relevant spatial data, such as topographic, geological, land cover, and rainfall data, which will be integrated into a GIS environment for analysis. Various spatial analysis techniques, including overlay analysis, terrain analysis, and statistical modeling, will be employed to identify areas with high landslide susceptibility within the study area. The developed landslide susceptibility model will be validated using historical landslide events and field surveys to assess its accuracy and reliability. The findings of the study will be presented and discussed in detail in Chapter Four, highlighting the spatial distribution of landslide susceptibility zones and the key factors influencing landslide occurrence in the mountainous region. The discussion will also address the limitations of the study, uncertainties in the modeling process, and potential applications of the findings for landslide risk management and mitigation. In conclusion, the research will provide valuable insights into the use of GIS technology for assessing landslide susceptibility in mountainous regions, contributing to the advancement of knowledge in landslide hazard assessment and management. The results of this study will be of interest to geoscientists, environmental planners, and decision-makers involved in disaster risk reduction and land use planning in mountainous areas.