Thesis Abstract

Abstract
Landslides are natural hazards that pose significant risks to communities and infrastructure worldwide. The ability to accurately assess landslide susceptibility is crucial for effective land use planning and disaster risk reduction. This research project focuses on the analysis of landslide susceptibility using remote sensing and Geographic Information System (GIS) techniques. The aim of this study is to develop a comprehensive methodology that integrates satellite imagery, terrain data, and GIS analysis to assess landslide susceptibility in a specific study area. Chapter 1 provides an introduction to the research topic, including the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter 2 reviews relevant literature on landslide susceptibility assessment, remote sensing, GIS techniques, and previous studies in the field. Chapter 3 outlines the research methodology, including data collection, processing techniques, and the steps involved in the analysis of landslide susceptibility. The findings of the study are presented in Chapter 4, which includes a detailed discussion of the results obtained through the remote sensing and GIS analysis. The factors influencing landslide susceptibility in the study area are identified and analyzed, providing valuable insights into the spatial distribution of landslide-prone areas. The implications of these findings for land use planning and disaster risk management are discussed in detail. Chapter 5 concludes the thesis by summarizing the key findings of the study and discussing their implications for future research and practical applications. Recommendations for improving landslide susceptibility assessment using remote sensing and GIS techniques are provided, along with suggestions for further research in the field. Overall, this research project contributes to the existing knowledge on landslide susceptibility analysis and provides a valuable methodology for assessing landslide hazards in similar study areas. Keywords Landslide susceptibility, Remote sensing, GIS techniques, Hazard assessment, Disaster risk reduction.

Thesis Overview

The project titled "Analysis of Landslide Susceptibility Using Remote Sensing and GIS Techniques" focuses on leveraging advanced technologies such as Remote Sensing and Geographic Information Systems (GIS) to analyze and predict landslide susceptibility in a given area. Landslides are a significant natural hazard that can cause devastating impacts on communities and infrastructure, making it crucial to develop effective methods for assessing and mitigating landslide risks. The research will begin with a comprehensive literature review to explore existing studies, methodologies, and tools used in landslide susceptibility analysis. This will provide a solid foundation for understanding the current state of research in this field and identifying gaps that the project aims to address. The methodology chapter will outline the steps involved in data collection, processing, and analysis using remote sensing data and GIS techniques. This will include acquiring satellite imagery, topographic data, land cover information, and other relevant datasets to create a spatial database for the study area. Various spatial analysis and modeling techniques will be employed to assess the factors contributing to landslide susceptibility, such as slope, soil type, land use, and precipitation. The core of the research will be the analysis and interpretation of the findings obtained from the application of remote sensing and GIS techniques. By integrating spatial data and conducting statistical analysis, the project will identify areas with high susceptibility to landslides and generate susceptibility maps that can be used for risk assessment and land use planning. The discussion chapter will delve into the implications of the findings, highlighting the significance of the results and their practical applications in disaster management and planning. The project will conclude with a summary of the key findings, implications for future research, and recommendations for stakeholders involved in landslide risk mitigation. By combining the power of remote sensing and GIS technologies, this research aims to provide valuable insights into landslide susceptibility assessment and contribute to enhancing the resilience of communities facing this natural hazard.