Thesis Abstract

Abstract
This thesis presents a comprehensive investigation into landslide susceptibility mapping in a specific region using Geographic Information System (GIS) and Remote Sensing techniques. Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. Understanding the factors influencing landslide occurrence and developing accurate susceptibility maps are crucial for effective risk management and mitigation strategies. This study focuses on leveraging GIS and Remote Sensing technologies to assess landslide susceptibility in a specific region, aiming to provide valuable insights for disaster preparedness and land use planning. The introduction section provides a background to the study, highlighting the importance of landslide susceptibility mapping and the role of GIS and Remote Sensing in this endeavor. The problem statement identifies the gaps in existing research and emphasizes the need for a detailed investigation in the specific region under study. The objectives of the study are outlined to guide the research process, aiming to develop a reliable landslide susceptibility map based on spatial analysis and modeling techniques. The literature review chapter synthesizes existing knowledge on landslide susceptibility mapping, GIS applications, and Remote Sensing technologies. The review covers relevant studies on factors influencing landslides, methodologies for susceptibility assessment, and the integration of spatial data for mapping purposes. This chapter provides a theoretical foundation for the research and identifies gaps that the current study seeks to address. The research methodology chapter details the procedures and techniques employed in the study, including data collection, preprocessing, analysis, and modeling. Remote sensing data such as satellite imagery and digital elevation models are utilized to extract terrain characteristics and land cover information essential for landslide susceptibility assessment. GIS tools and spatial analysis methods are applied to integrate and analyze these datasets, leading to the development of a susceptibility map. The discussion of findings chapter presents the results of the susceptibility mapping process, highlighting the spatial distribution of landslide susceptibility zones in the specific region. The analysis interprets the relationships between landslide occurrences and the identified influencing factors, providing insights into the mechanisms driving landslide susceptibility. The findings are compared with existing susceptibility maps and validated using historical landslide data to assess the accuracy and reliability of the developed map. In conclusion, the study summarizes the key findings, implications, and recommendations for future research and applications. The landslide susceptibility map generated through GIS and Remote Sensing techniques serves as a valuable tool for land use planning, hazard assessment, and disaster risk reduction in the specific region. The study contributes to the growing body of knowledge on landslide susceptibility mapping and demonstrates the effectiveness of geospatial technologies in addressing natural hazards. Keywords Landslide susceptibility mapping, Geographic Information System, Remote Sensing, Spatial analysis, Hazard assessment, Risk management, Geospatial technologies.

Thesis Overview