Project Abstract

Abstract
This research project focuses on the analysis of landslide susceptibility using Geographic Information Systems (GIS) in a selected region. Landslides are natural hazards that pose significant risks to societies, infrastructure, and the environment. Understanding the factors that contribute to landslide susceptibility is crucial for effective disaster management and mitigation strategies. GIS technology provides a powerful tool for spatial analysis and modeling, allowing for the integration of various geospatial data layers to assess landslide susceptibility. The study begins with a comprehensive introduction that highlights the importance of studying landslide susceptibility and the role of GIS technology in this context. The background of the study provides an overview of previous research on landslides and GIS applications, emphasizing the gaps in knowledge that this study aims to address. The problem statement identifies the need to assess landslide susceptibility in the selected region to better understand and mitigate landslide risks. The objectives of the study include identifying key factors influencing landslide susceptibility, developing a GIS-based model for assessing susceptibility, and evaluating the effectiveness of the model in predicting landslide occurrences. The limitations of the study are acknowledged, including data availability, accuracy, and scale constraints. The scope of the study outlines the selected region, study area boundaries, and the specific types of landslides considered. The significance of the study lies in its contribution to the field of geoscience and disaster risk management by providing a practical methodology for assessing landslide susceptibility using GIS technology. The structure of the research is detailed, highlighting the organization of the subsequent chapters, including the literature review, research methodology, discussion of findings, and conclusion. The literature review chapter examines existing research on landslide susceptibility assessment, GIS applications in landslide studies, and relevant methodologies for modeling landslide susceptibility. Key themes explored include the influence of topographic, geological, hydrological, and anthropogenic factors on landslide occurrence. The research methodology chapter outlines the data collection methods, GIS techniques, and statistical analyses used to assess landslide susceptibility. It includes details on data sources, processing steps, model development, validation procedures, and sensitivity analyses. The discussion of findings chapter presents the results of the GIS-based landslide susceptibility model, highlighting the key factors influencing susceptibility and the accuracy of the model in predicting landslide occurrences. The implications of the findings are discussed in the context of disaster risk management and future research directions. In conclusion, this research project provides valuable insights into the analysis of landslide susceptibility using GIS in a selected region. The study contributes to the development of effective strategies for assessing and mitigating landslide risks, emphasizing the importance of GIS technology in enhancing our understanding of natural hazards and supporting informed decision-making processes.

Project Overview