Analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region of interest.

Thesis Abstract

Abstract
Landslides are a significant geological hazard that poses risks to infrastructure, human lives, and the environment. Understanding the factors that contribute to landslide susceptibility is crucial for effective risk management and mitigation strategies. This thesis focuses on the analysis of landslide susceptibility using remote sensing and Geographic Information System (GIS) techniques in a specific region of interest. The study area selected for this research is characterized by its susceptibility to landslides due to various geological, topographical, and environmental factors. The introduction sets the stage by providing an overview of the importance of studying landslide susceptibility and the relevance of remote sensing and GIS technologies in this context. The background of the study delves into existing literature on landslides, remote sensing applications, and GIS techniques related to landslide susceptibility assessment. The problem statement highlights the need for a comprehensive analysis of landslide susceptibility in the study area to support effective risk management practices. The main objective of this study is to assess landslide susceptibility in the selected region by integrating remote sensing data and GIS techniques. Methodologies employed include data acquisition, preprocessing, image analysis, and spatial modeling to identify potential landslide-prone areas. The limitations and scope of the study are also discussed to provide clarity on the constraints and extent of the research. The significance of this study lies in its potential to enhance landslide risk assessment and management strategies through the application of advanced technologies. By identifying areas prone to landslides, stakeholders can implement preventive measures and emergency response plans to mitigate potential damages. The structure of the thesis outlines the organization of chapters and sections, providing a roadmap for readers to navigate through the research findings. Chapter two presents a comprehensive literature review that examines previous studies on landslide susceptibility assessment, remote sensing applications, and GIS techniques. The review synthesizes relevant research findings and methodologies to establish a foundation for the current study. Ten key items are identified and discussed to provide a thorough understanding of the research landscape. Chapter three details the research methodology employed in this study, including data collection methods, image processing techniques, spatial analysis procedures, and modeling approaches. Eight contents are outlined to describe the step-by-step process of assessing landslide susceptibility using remote sensing and GIS technologies. Chapter four presents an in-depth discussion of the findings obtained from the analysis of landslide susceptibility in the study area. The results are interpreted, and key insights are highlighted to facilitate a comprehensive understanding of the factors influencing landslide occurrence. Spatial maps and thematic analyses are used to visualize and communicate the findings effectively. Chapter five concludes the thesis by summarizing the key findings, implications of the research, and recommendations for future studies. The conclusion underscores the importance of integrating remote sensing and GIS technologies in landslide susceptibility assessment and emphasizes the significance of proactive risk management strategies. In conclusion, this thesis contributes to the field of geology by providing a detailed analysis of landslide susceptibility using remote sensing and GIS techniques. The research outcomes have practical implications for disaster risk reduction efforts and can support decision-making processes for sustainable land management practices in landslide-prone regions.