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.

Thesis Overview

The research project titled "Analysis of Landslide Susceptibility in a Selected Region Using Remote Sensing and GIS Techniques" aims to investigate the factors contributing to landslide susceptibility in a specific region through the application of advanced technologies such as remote sensing and Geographic Information System (GIS). Landslides pose a significant threat to infrastructure, human lives, and the environment in many regions worldwide, making it crucial to understand and predict their occurrence. The project will begin with a comprehensive literature review to explore existing studies on landslide susceptibility assessment methods, remote sensing technologies, GIS applications, and relevant factors contributing to landslides. This review will provide a solid foundation for the research methodology and data analysis techniques employed in the study. The research methodology will involve the collection of satellite imagery data, geological maps, topographic data, and land cover information for the selected region. These datasets will be processed and analyzed using remote sensing and GIS tools to identify potential landslide-prone areas based on various geological, environmental, and anthropogenic factors. The findings of the study will be presented in chapter four, where a detailed analysis of the landslide susceptibility factors and their spatial distribution within the study area will be discussed. The results will be visualized through maps, graphs, and statistical analyses to provide a clear understanding of the landslide susceptibility patterns in the region. In conclusion, the project will summarize the key findings, implications for landslide risk management, and recommendations for future research and mitigation strategies. By utilizing remote sensing and GIS techniques, this research aims to contribute valuable insights into understanding landslide susceptibility and enhancing preparedness and response measures in the selected region.