Thesis Abstract

Abstract
Landslides pose a significant threat to communities and infrastructure worldwide, necessitating effective hazard assessment and mitigation strategies. This research focuses on the application of Remote Sensing (RS) and Geographic Information Systems (GIS) in Landslide Hazard Assessment to improve understanding and management of landslide risks. The study integrates remote sensing data, GIS technologies, and geospatial analysis techniques to assess landslide susceptibility, identify hazardous areas, and provide valuable insights for decision-making. Chapter One provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, and defining key terms related to landslide hazard assessment using RS and GIS technologies. The structure of the thesis is also presented to guide the reader through the research. Chapter Two consists of a comprehensive literature review that synthesizes existing knowledge on landslide hazards, remote sensing applications, GIS techniques, and methodologies for landslide susceptibility mapping. The review highlights the significance of integrating RS and GIS for accurate and efficient landslide hazard assessment. Chapter Three details the research methodology, including data collection, processing techniques, selection of landslide susceptibility factors, model development, and validation procedures. The chapter outlines the step-by-step approach followed in applying RS and GIS tools to assess landslide hazards in the study area. In Chapter Four, the findings of the research are discussed in detail, presenting the results of the landslide susceptibility mapping and hazard assessment using RS and GIS techniques. The chapter analyzes the spatial distribution of landslide-prone areas, identifies key factors influencing landslide susceptibility, and discusses the implications of the findings for landslide risk management. Chapter Five presents the conclusion and summary of the research, highlighting the key findings, implications, and recommendations for future research and practical applications. The study underscores the importance of utilizing RS and GIS technologies in landslide hazard assessment to enhance preparedness, response, and mitigation efforts in landslide-prone regions. Overall, this research contributes to the advancement of landslide hazard assessment methodologies by demonstrating the efficacy of integrating RS and GIS technologies for improved spatial analysis and mapping of landslide risks. The findings of this study have practical implications for land use planning, disaster risk reduction, and sustainable development initiatives aimed at reducing the impacts of landslides on communities and infrastructure.

Thesis Overview