Thesis Abstract

Abstract
This thesis presents a comprehensive analysis of landslide risk in a specific region utilizing Geographic Information System (GIS) technology. Landslides pose significant threats to infrastructure, human life, and the environment, making their assessment and management crucial for sustainable development. The study focuses on leveraging GIS tools and techniques to enhance landslide risk assessment, mapping, and mitigation strategies in the selected region. The introduction provides an overview of the research background, highlighting the increasing frequency and impact of landslides globally. The background of the study delves into the geological and environmental factors contributing to landslide occurrence, emphasizing the need for accurate risk assessment methodologies. The problem statement underscores the gaps in current landslide risk management practices and the potential of GIS technology to address these challenges effectively. The objectives of the study include developing a detailed landslide inventory, analyzing key factors influencing landslide susceptibility, and creating risk maps for the study area. The limitations of the study are acknowledged, including data availability constraints and the inherent uncertainties in landslide modeling. The scope of the study outlines the geographical extent, methodology, and tools utilized in the research process. The significance of the study lies in its potential to inform decision-makers, urban planners, and stakeholders about the spatial distribution of landslide risk, enabling proactive mitigation measures and disaster preparedness. The structure of the thesis delineates the organization of chapters and sections, guiding readers through the research framework and findings. Definitions of key terms related to landslides, GIS technology, and risk assessment are provided to enhance understanding. The literature review synthesizes existing knowledge on landslide risk assessment, GIS applications in geohazards management, and relevant methodologies for spatial analysis. The research methodology section outlines the data collection, processing, and modeling techniques employed to assess landslide susceptibility and generate risk maps. Key components such as remote sensing data analysis, terrain modeling, and statistical modeling are discussed in detail. The discussion of findings chapter presents the results of the landslide risk analysis, highlighting areas of high susceptibility and potential risk zones within the study region. The implications of these findings for land use planning, infrastructure development, and disaster risk reduction are explored. The conclusion summarizes the key findings, discusses the research implications, and offers recommendations for future studies and practical applications. In conclusion, this thesis contributes to the field of geoscience by demonstrating the efficacy of GIS technology in landslide risk assessment and management. The integration of spatial data analysis, modeling tools, and risk mapping techniques provides valuable insights for mitigating landslide hazards and enhancing resilience in vulnerable regions. The study underscores the importance of proactive risk assessment and planning to minimize the impact of landslides on communities and the environment.

Thesis Overview