Thesis Abstract

Abstract
Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. Understanding landslide susceptibility is crucial for effective risk assessment and mitigation strategies. This thesis presents an in-depth analysis of landslide susceptibility in a specific region using Geographic Information System (GIS) and Remote Sensing techniques. The study aims to identify the factors contributing to landslide occurrence, assess the susceptibility of the study area, and develop a comprehensive framework for landslide risk management. The introduction provides the background of the study, highlighting the importance of analyzing landslide susceptibility for disaster preparedness and sustainable development. The problem statement emphasizes the need for accurate and reliable methods to assess landslide susceptibility, considering the potential impacts on communities and infrastructure. The objectives of the study focus on identifying key factors influencing landslide occurrence, mapping susceptibility zones, and proposing mitigation measures. The literature review delves into existing research on landslide susceptibility assessment, GIS applications, and remote sensing techniques. Ten key themes are explored, including landslide triggers, spatial analysis methods, and risk mapping approaches. The review provides a comprehensive overview of relevant studies and methodologies to inform the research methodology. The research methodology section outlines the approach taken to analyze landslide susceptibility in the study area. Eight key components are detailed, including data collection methods, GIS modeling techniques, and validation procedures. The methodology integrates field observations, satellite imagery analysis, and statistical modeling to assess landslide susceptibility and validate the results. The discussion of findings chapter presents the results of the landslide susceptibility analysis, highlighting the spatial distribution of susceptibility zones and the contributing factors. The findings reveal the significance of topographic attributes, land cover types, and rainfall patterns in determining landslide susceptibility. The chapter also discusses the implications of the results for risk management and future research directions. In conclusion, the study provides valuable insights into landslide susceptibility assessment using GIS and Remote Sensing techniques. The research contributes to the understanding of landslide dynamics and provides a framework for effective risk management strategies. The findings underscore the importance of integrating geospatial technologies in landslide research and highlight the potential for improved disaster preparedness and mitigation efforts. Overall, this thesis contributes to the body of knowledge on landslide susceptibility analysis and provides practical recommendations for stakeholders involved in disaster risk reduction and land use planning. The study emphasizes the importance of proactive measures to mitigate landslide risks and underscores the role of advanced technologies in enhancing our understanding of natural hazards.

Thesis Overview