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

Thesis Abstract

Abstract
Landslides are natural hazards that pose significant threats to communities and infrastructure in various regions around the world. The increasing frequency and impact of landslides necessitate a comprehensive understanding of the factors contributing to landslide susceptibility. This thesis presents a detailed analysis of landslide susceptibility in a selected region using remote sensing and Geographic Information System (GIS) techniques. The study begins with a thorough review of existing literature on landslide susceptibility assessment methods, remote sensing technologies, and GIS applications in landslide studies. The literature review highlights the importance of integrating remote sensing and GIS techniques for accurate and efficient landslide susceptibility mapping. In the research methodology chapter, the study outlines the step-by-step process of data collection, processing, and analysis. The methodology includes the acquisition of satellite imagery, digital elevation models, geological maps, and land cover data. Remote sensing techniques such as image classification and change detection are employed to identify potential landslide-triggering factors. The findings chapter presents the results of the analysis, including the identification of landslide-prone areas based on various factors such as slope, aspect, land cover, and lithology. The GIS-based landslide susceptibility map provides valuable insights for land use planning, disaster management, and risk mitigation strategies in the study area. The conclusion and summary chapter discuss the implications of the findings, limitations of the study, and recommendations for future research. The study emphasizes the significance of remote sensing and GIS technologies in enhancing our understanding of landslide susceptibility and improving disaster preparedness. Overall, this thesis contributes to the body of knowledge on landslide susceptibility assessment by demonstrating the effectiveness of remote sensing and GIS techniques in identifying areas at risk of landslides. The findings of this study have practical implications for land use planning and disaster risk reduction efforts in the selected region and can serve as a valuable resource for policymakers, researchers, and practitioners working in the field of geohazards and natural disaster management.