Analysis of Landslide Susceptibility using Remote Sensing and GIS Techniques

Thesis Abstract

Abstract
Landslides represent a significant natural hazard that poses a threat to human lives, infrastructure, and the environment. In recent years, advancements in remote sensing and Geographic Information System (GIS) technologies have provided valuable tools for assessing and analyzing landslide susceptibility. This thesis aims to investigate the susceptibility of landslides using remote sensing and GIS techniques in a study area with a history of landslide occurrences. The research begins with a comprehensive introduction that sets the context for the study, providing background information on landslides, the significance of the research, and the limitations and scope of the study. The problem statement highlights the need to develop effective methods for landslide susceptibility assessment to mitigate the risks associated with these natural disasters. The literature review in Chapter Two explores existing studies related to landslide susceptibility assessment, remote sensing applications, GIS techniques, and methodologies used in similar research projects. The review synthesizes key findings and identifies gaps in the current knowledge, providing a foundation for the research methodology. Chapter Three outlines the research methodology, including data collection, processing, and analysis procedures. The chapter details the selection of remote sensing data sources, GIS techniques, and statistical models used to assess landslide susceptibility in the study area. The methodology is designed to integrate multiple data layers and variables to create a comprehensive landslide susceptibility map. Chapter Four presents a detailed discussion of the findings obtained from the analysis of landslide susceptibility using remote sensing and GIS techniques. The chapter examines the spatial distribution of landslide susceptibility zones, identifies key factors contributing to landslide occurrence, and assesses the accuracy of the susceptibility model developed in the study. Finally, Chapter Five provides a summary of the research findings and conclusions drawn from the study. The research highlights the effectiveness of remote sensing and GIS techniques in assessing landslide susceptibility and provides recommendations for future research and practical applications in landslide risk management. In conclusion, this thesis contributes to the field of geo-science by demonstrating the utility of remote sensing and GIS technologies in analyzing landslide susceptibility. The findings of this study have implications for disaster risk reduction efforts and land use planning in landslide-prone areas. By integrating advanced technologies and methodologies, this research offers insights into improving landslide hazard assessment and management strategies for a more resilient future.