Thesis Abstract

Abstract
Landslides pose a significant hazard to communities and infrastructure in many regions around the world. Understanding the factors that contribute to landslide susceptibility is essential for effective risk management and mitigation strategies. This thesis focuses on the analysis of landslide susceptibility in a specific region using Geographic Information System (GIS) and Remote Sensing techniques. The study aims to identify and map areas at high risk of landslides, providing valuable information for land use planning and disaster preparedness. Chapter 1 provides an introduction to the research topic, detailing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter 2 presents a comprehensive literature review, examining existing studies on landslide susceptibility assessment, GIS applications, remote sensing technologies, and relevant methodologies. Chapter 3 outlines the research methodology, including data collection methods, data processing techniques, landslide inventory development, terrain analysis, and the application of GIS and remote sensing tools. The chapter also discusses the selection of landslide susceptibility factors and the development of a susceptibility model. Chapter 4 presents a detailed discussion of the findings from the analysis of landslide susceptibility in the study area. The results of the susceptibility model are evaluated and compared with observed landslide occurrences. The chapter also explores the spatial distribution of landslide susceptibility factors and their impact on the overall susceptibility assessment. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications for landslide risk management, and highlighting potential areas for future research. The study contributes to the field of geoscience by providing a comprehensive analysis of landslide susceptibility using advanced GIS and remote sensing techniques, offering valuable insights for decision-makers and stakeholders involved in disaster risk reduction efforts.

Thesis Overview

The project titled "Analysis of Landslide Susceptibility in a Region Using GIS and Remote Sensing Techniques" aims to investigate the factors contributing to landslide occurrence in a specific region by utilizing Geographic Information Systems (GIS) and Remote Sensing technologies. Landslides are natural hazards that can cause significant damage to infrastructure, loss of life, and disruption to communities. By conducting a thorough analysis of landslide susceptibility, this research seeks to enhance understanding of the underlying causes and improve mitigation strategies in the study area. The research will begin with a comprehensive literature review to explore existing studies on landslide susceptibility assessment methods, GIS applications, and remote sensing techniques. This review will provide a foundation for the development of the research methodology, guiding the selection of appropriate data sources, analysis techniques, and modeling approaches. The methodology will involve collecting relevant spatial data, including topographic, geological, land cover, and rainfall information, which are known to influence landslide susceptibility. GIS will be used to integrate and analyze these datasets, enabling the identification of high-risk areas prone to landslides. Remote sensing data, such as satellite imagery, will be utilized to monitor land surface changes and detect potential landslide triggers. The findings of this research will be presented in Chapter Four, where the analysis of landslide susceptibility in the study area will be discussed in detail. The results will include maps highlighting areas at high risk of landslides based on the identified factors and models developed through GIS and remote sensing analyses. Finally, the research will conclude with Chapter Five, summarizing the key findings, implications, and recommendations for future research and practical applications. The insights gained from this study can inform land use planning, disaster preparedness efforts, and risk reduction strategies to mitigate the impact of landslides in the region. Overall, this project on the analysis of landslide susceptibility using GIS and remote sensing techniques holds significant potential to contribute to the field of geoscience and aid in the development of effective landslide risk management strategies for the study area and beyond.