Analysis of Landslide Susceptibility in a Specific Region Using GIS and Remote Sensing Techniques

Thesis Abstract

Abstract
Landslides are a prevalent natural hazard that can cause significant damage to infrastructure, property, and human lives. 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 in a specific region using Geographic Information System (GIS) and Remote Sensing techniques. The study area selected for this research is characterized by complex topography and geological features that make it prone to landslides. The research 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 landslide susceptibility mapping to support disaster management efforts. The objectives of the study are outlined to guide the research process towards developing a robust landslide susceptibility model. The limitations and scope of the study are also discussed to provide a clear understanding of the research boundaries. A thorough literature review in Chapter Two examines existing studies on landslide susceptibility mapping methods, GIS applications, and remote sensing techniques. The review identifies gaps in the literature and sets the foundation for the research methodology. Chapter Three details the research methodology, including data collection, processing techniques, and the development of a landslide susceptibility model. The chapter outlines the steps followed in data acquisition, preprocessing, and analysis to derive meaningful results. Chapter Four presents a detailed discussion of the findings obtained from the analysis of landslide susceptibility in the study area. The results of the GIS and Remote Sensing analysis are interpreted to identify factors contributing to landslide susceptibility, such as slope steepness, soil type, land cover, and rainfall patterns. The spatial distribution of landslide susceptibility zones is mapped to provide valuable insights for land use planning and disaster risk reduction. In the final chapter, Chapter Five, the conclusions drawn from the study are summarized, emphasizing the significance of the developed landslide susceptibility model for disaster management and planning authorities. The thesis concludes with recommendations for future research directions and the application of GIS and Remote Sensing techniques in landslide susceptibility mapping. Overall, this thesis contributes to the field of Geo-science by providing a comprehensive analysis of landslide susceptibility using advanced spatial analysis tools. The findings have practical implications for land use planning, infrastructure development, and disaster risk management in regions prone to landslides. The integration of GIS and Remote Sensing technologies offers a powerful approach for assessing and mitigating landslide hazards, ultimately enhancing community resilience to natural disasters.