Thesis Abstract

Abstract
This thesis explores the analysis of landslide susceptibility in a mountainous region using remote sensing and Geographic Information System (GIS) techniques. Landslides are natural hazards that pose significant risks to human lives and infrastructure, especially in mountainous areas. The integration of remote sensing data and GIS technology offers a powerful tool for assessing landslide susceptibility by providing detailed information on terrain characteristics and environmental factors that contribute to slope instability. Chapter One provides an introduction to the research topic, outlining the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and key definitions of terms. Chapter Two conducts a comprehensive literature review covering ten key aspects related to landslides, remote sensing, GIS applications in landslide susceptibility mapping, and relevant methodologies employed in similar studies. Chapter Three presents the research methodology, detailing the procedures for data collection, preprocessing, analysis, and modeling. It includes the selection of study area, acquisition of remote sensing data, development of thematic layers, and application of GIS techniques for landslide susceptibility assessment. Various statistical and spatial analysis tools are employed to analyze the data and develop a susceptibility map. Chapter Four discusses the findings of the study, presenting the results of the landslide susceptibility analysis in the mountainous region. The chapter provides a detailed interpretation of the susceptibility map, highlighting the areas at high risk of landslides based on the identified factors and their spatial distribution. The discussion also explores the accuracy and reliability of the model developed using remote sensing and GIS techniques. Finally, Chapter Five offers a conclusion and summary of the research thesis, summarizing the key findings, implications, and recommendations for future research. The thesis concludes by emphasizing the importance of utilizing remote sensing and GIS technologies in landslide susceptibility assessment for effective risk management and mitigation strategies in mountainous regions. The study contributes valuable insights to the field of geoscience and provides a foundation for further research in landslide analysis and hazard assessment using advanced technologies.

Thesis Overview

The research project titled "Analysis of Landslide Susceptibility in a Mountainous Region Using Remote Sensing and GIS Techniques" aims to investigate and analyze the factors contributing to landslide susceptibility in a mountainous region with the aid of advanced technologies such as remote sensing and Geographic Information System (GIS). The study is motivated by the increasing occurrences of landslides in mountainous areas, which pose significant risks to human lives, infrastructure, and the environment. The project will commence with an introduction that highlights the importance of studying landslide susceptibility and the relevance of utilizing remote sensing and GIS technologies in geospatial analysis. The background of the study will provide a comprehensive overview of landslides, their causes, impacts, and the existing methods of susceptibility assessment. The problem statement will clearly define the research gap, emphasizing the need for a more accurate and efficient approach to assess landslide susceptibility. The objectives of the study include identifying the key factors contributing to landslide susceptibility, developing a predictive model using remote sensing data and GIS techniques, and assessing the accuracy of the model in predicting landslide-prone areas. The limitations of the study will be acknowledged, including data availability, resolution constraints, and potential uncertainties in the modeling process. The scope of the study will outline the geographic area of focus, the types of landslides considered, and the specific remote sensing and GIS tools to be utilized. The significance of the study lies in its potential to enhance landslide risk assessment and mitigation strategies in mountainous regions. By combining remote sensing data with GIS techniques, the research aims to provide valuable insights for land use planning, disaster preparedness, and infrastructure development in landslide-prone areas. The structure of the thesis will be outlined to guide the reader through the research methodology, findings, and conclusions. The research overview emphasizes the innovative approach of integrating remote sensing and GIS technologies to analyze landslide susceptibility, highlighting the interdisciplinary nature of the study. Through a detailed investigation of the study area and the application of advanced geospatial techniques, the project aims to contribute to the field of geoscience and promote sustainable land management practices in mountainous regions.