Thesis Abstract

Abstract
This thesis investigates the application of Geographic Information Systems (GIS) in the critical field of landslide hazard mapping and risk assessment. Landslides, being one of the most destructive natural hazards, pose significant risks to human lives, infrastructure, and the environment. GIS technology offers a powerful tool for analyzing, visualizing, and managing spatial data related to landslide hazards. The primary objective of this study is to explore how GIS can be effectively utilized to map landslide hazards, assess the associated risks, and develop strategies for mitigation and preparedness. The research begins with a comprehensive review of existing literature on landslides, GIS technology, hazard mapping techniques, and risk assessment methodologies. This literature review highlights the importance of integrating geospatial data with advanced analytical tools to enhance the understanding of landslide dynamics and improve decision-making processes. The methodology section outlines the research framework and data collection procedures employed in this study. Various GIS tools and software applications are utilized to process and analyze spatial data, including remote sensing imagery, digital elevation models, geological maps, land cover data, and rainfall records. The research methodology also incorporates field surveys, interviews with experts, and stakeholder consultations to validate the findings and enhance the accuracy of the hazard mapping and risk assessment outcomes. The results of the study are presented and discussed in detail in the findings chapter. The GIS-based landslide hazard maps generated through spatial analysis provide valuable insights into the spatial distribution and susceptibility of landslide-prone areas. Risk assessment models are developed to quantify the potential impacts of landslides on infrastructure, communities, and the environment. The findings underscore the importance of proactive risk management strategies, early warning systems, and land use planning measures to mitigate the impacts of landslides and enhance community resilience. In conclusion, this thesis contributes to the growing body of knowledge on the application of GIS in landslide hazard mapping and risk assessment. By leveraging spatial data and analytical tools, GIS can facilitate a more comprehensive understanding of landslide processes, improve hazard mapping accuracy, and support evidence-based decision-making in disaster management. The study emphasizes the need for interdisciplinary collaboration, stakeholder engagement, and capacity building to enhance the effectiveness of GIS applications in landslide risk reduction efforts. Overall, this research demonstrates the potential of GIS technology as a valuable tool for enhancing landslide hazard mapping, risk assessment, and disaster preparedness initiatives. The findings of this study can inform policy-makers, urban planners, emergency responders, and other stakeholders in developing proactive measures to minimize the impacts of landslides and safeguard vulnerable communities and infrastructure.

Thesis Overview