Thesis Abstract

**Abstract
** Landslides are a common natural hazard that poses significant risks to communities and infrastructure in many regions around the world. Understanding the factors that contribute to landslide susceptibility is crucial for effective disaster risk reduction and land use planning. Geographic Information System (GIS) techniques have proven to be valuable tools for analyzing and mapping landslide susceptibility due to their ability to integrate various spatial data layers and perform spatial analysis. This thesis presents a comprehensive analysis of landslide susceptibility using GIS techniques in a selected region, aiming to identify vulnerable areas and provide valuable insights for mitigation strategies. The study begins with a detailed introduction to the research topic, highlighting the importance of assessing landslide susceptibility and the role of GIS in this process. The background of the study provides context on the selected region and its historical landslide occurrences, setting the stage for the research objectives. The problem statement emphasizes the need for accurate landslide susceptibility mapping to support informed decision-making and reduce the impact of landslides on communities and infrastructure. The main objective of the study is to analyze landslide susceptibility using GIS techniques, with a focus on identifying key factors contributing to landslide occurrence in the selected region. Through a thorough literature review, the study evaluates existing research on landslide susceptibility assessment methods and GIS applications in landslide analysis. The methodology chapter outlines the data collection process, spatial analysis techniques, and modeling approaches used to assess landslide susceptibility. The findings chapter presents the results of the GIS analysis, including susceptibility maps that highlight areas at high risk of landslides based on the identified factors. The discussion delves into the implications of the findings, addressing the significance of the results for disaster risk reduction and land use planning in the selected region. The conclusion summarizes the key findings of the study and provides recommendations for future research and practical applications. Overall, this thesis contributes to the body of knowledge on landslide susceptibility analysis using GIS techniques and provides valuable insights for stakeholders involved in disaster risk management and land use planning. By integrating spatial data and advanced analytical tools, this study enhances our understanding of landslide susceptibility and aids in the development of targeted mitigation strategies to reduce the impact of landslides in vulnerable areas.

Thesis Overview

The research project titled "Analysis of landslide susceptibility using GIS techniques in a selected region" aims to investigate the factors influencing landslide occurrence and susceptibility in a specific geographical area through the utilization of Geographic Information System (GIS) technology. Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment, making it crucial to understand and assess their susceptibility for effective mitigation strategies. The study will begin with a comprehensive review of existing literature on landslide susceptibility assessment methods, GIS applications in landslide studies, and the factors contributing to landslide occurrence. This literature review will provide a solid theoretical foundation for the research and help identify gaps in current knowledge that the study aims to address. The research methodology will involve the collection of relevant spatial and non-spatial data related to the study area, including topography, geology, land cover, rainfall patterns, and historical landslide events. These data will be integrated within a GIS environment to create a landslide susceptibility map that identifies areas at higher risk of landslide occurrence based on the analyzed factors. The GIS techniques employed will include spatial analysis, multi-criteria decision-making methods, and landslide susceptibility modeling algorithms to assess the spatial distribution and probability of landslides in the study area. By incorporating various environmental and topographic variables, the research aims to develop a robust model that can accurately predict landslide susceptibility and help in effective risk management and land-use planning. The findings of the study will be presented and discussed in detail in the results chapter, highlighting the spatial patterns of landslide susceptibility, the influence of different factors on landslide occurrence, and the effectiveness of the GIS-based approach in assessing landslide susceptibility. The implications of the research findings for land use planning, disaster risk reduction, and sustainable development will also be explored. In conclusion, the research on the analysis of landslide susceptibility using GIS techniques in a selected region holds significant importance in mitigating the impacts of landslides and enhancing preparedness for such natural hazards. The study aims to contribute valuable insights into landslide susceptibility assessment methodologies and provide practical recommendations for policymakers, planners, and stakeholders to reduce the risks associated with landslides in the study area.