Analysis of Landslide Susceptibility Mapping Using GIS and Remote Sensing Techniques

Thesis Abstract

Abstract
Landslides are a significant natural hazard that poses a threat to lives, properties, and infrastructure in many regions around the world. The ability to predict and map landslide susceptibility is crucial for effective risk management and mitigation strategies. Geographic Information System (GIS) and Remote Sensing techniques have emerged as powerful tools for analyzing and mapping landslide susceptibility by integrating various spatial data layers. This thesis focuses on the analysis of landslide susceptibility mapping using GIS and Remote Sensing techniques to enhance our understanding of landslide occurrences and provide valuable insights for risk assessment and land use planning. The research begins with an introduction that outlines the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter two presents a comprehensive literature review that discusses ten key aspects related to landslide susceptibility mapping, including previous studies, methodologies, data sources, and modeling techniques. Chapter three details the research methodology, covering data collection, preprocessing, analysis techniques, modeling approaches, and validation methods. The methodology section includes eight key components that guide the process of mapping landslide susceptibility accurately and efficiently. Chapter four presents the findings of the study, showcasing the results of the GIS and Remote Sensing analysis in mapping landslide susceptibility. The discussion delves into the factors influencing landslide occurrences, the accuracy of the susceptibility models, and the spatial distribution of high-risk areas. The chapter also highlights the significance of the findings in improving landslide risk assessment and management practices. Finally, chapter five provides a comprehensive conclusion and summary of the thesis, emphasizing the key findings, implications, and recommendations for future research and practical applications. Overall, this thesis contributes to the field of geoscience by demonstrating the effectiveness of GIS and Remote Sensing techniques in analyzing and mapping landslide susceptibility. The research outcomes offer valuable insights for stakeholders, policymakers, and land use planners to make informed decisions and implement proactive measures to reduce the impact of landslides on vulnerable communities and infrastructure. The findings of this study have the potential to enhance disaster preparedness, response, and resilience in landslide-prone regions, ultimately contributing to a safer and more sustainable environment for all.