Thesis Abstract

Abstract
Landslides pose significant risks to human life, infrastructure, and the environment in many regions worldwide. Geospatial technologies, particularly Geographic Information System (GIS) techniques, provide valuable tools for analyzing and assessing landslide susceptibility. This thesis investigates the application of GIS techniques in analyzing landslide susceptibility in a specific region. The study aims to identify areas prone to landslides, understand the factors contributing to landslide susceptibility, and develop mitigation strategies to reduce the risks associated with landslides. The research begins with a comprehensive review of the literature on landslides, GIS technology, and methodologies used in landslide susceptibility analysis. The literature review highlights the importance of understanding the geological, topographical, and environmental factors that influence landslide occurrence. It also discusses the role of GIS in integrating and analyzing spatial data to create landslide susceptibility maps. The methodology section outlines the research design, data collection methods, and analytical techniques used in the study. The research employs a combination of field surveys, remote sensing data, and GIS analysis to assess landslide susceptibility. Various factors such as slope gradient, land cover, soil type, and rainfall intensity are considered in the analysis to develop a comprehensive understanding of landslide susceptibility in the study area. The findings of the research reveal significant insights into the factors influencing landslide susceptibility in the specific region. GIS techniques are utilized to create spatial models that identify high-risk areas prone to landslides. The results of the analysis provide valuable information for land use planning, disaster management, and infrastructure development in the region. The discussion section interprets the findings in the context of existing literature and discusses the implications for landslide risk management. Strategies for mitigating landslide risks, such as land use zoning, slope stabilization measures, and early warning systems, are proposed based on the study results. The research emphasizes the importance of proactive measures to reduce the impact of landslides on communities and infrastructure. In conclusion, this thesis contributes to the understanding of landslide susceptibility using GIS techniques in a specific region. The study highlights the significance of geospatial technologies in assessing and managing landslide risks effectively. The findings underscore the importance of incorporating GIS-based approaches in landslide susceptibility analysis for informed decision-making and sustainable development in landslide-prone areas. Keywords Landslides, GIS techniques, Susceptibility analysis, Geospatial technology, Risk management, Mitigation strategies.

Thesis Overview

The research project titled "Analysis of landslide susceptibility using GIS techniques in a specific region" aims to investigate the factors contributing to landslide occurrences in a particular region and to develop a predictive model using Geographic Information System (GIS) techniques. Landslides pose significant risks to communities, infrastructure, and the environment, making it crucial to understand their susceptibility and identify areas prone to such events. The study will begin with a comprehensive literature review to explore existing research on landslides, GIS applications, and susceptibility analysis methods. This will provide a theoretical framework for understanding the factors influencing landslide susceptibility and the role of GIS in analyzing and mapping these risks. The research methodology will involve data collection, including geological, topographical, hydrological, and land use data for the specific region under study. GIS software will be utilized to integrate and analyze these datasets to identify key factors contributing to landslide susceptibility. Various techniques such as spatial analysis, terrain modeling, and statistical modeling will be employed to develop a predictive model for landslide susceptibility in the region. The findings of the study will be presented and discussed in detail in chapter four, highlighting the key factors influencing landslide susceptibility and the effectiveness of the GIS model in predicting landslide-prone areas. The results will be visualized through maps and graphs to provide a clear understanding of the spatial distribution of landslide susceptibility in the region. The conclusion and summary chapter will summarize the research findings, discuss the implications for hazard mitigation and land use planning, and propose recommendations for future research in this field. The study aims to contribute to the understanding of landslide susceptibility and provide valuable insights for policymakers, urban planners, and disaster management authorities in mitigating the risks associated with landslides in the specific region under study. Overall, this research project on the analysis of landslide susceptibility using GIS techniques in a specific region will provide a valuable contribution to the field of geology and disaster management by enhancing our understanding of landslide hazards and facilitating proactive measures to reduce the impact of landslides on communities and infrastructure."