Project Abstract

Abstract
Landslides are natural hazards that pose significant risks to communities and infrastructure worldwide. The ability to accurately assess and predict landslide susceptibility is crucial for effective disaster management and mitigation efforts. Geographic Information Systems (GIS) and Remote Sensing techniques have emerged as valuable tools for analyzing and mapping landslide susceptibility by integrating spatial data and terrain analysis. This research project aims to analyze landslide susceptibility using GIS and Remote Sensing techniques in a selected study area. The research begins with an introduction that provides background information on landslides, highlighting their impact on the environment and society. The problem statement identifies the need for improved landslide susceptibility assessment methods, emphasizing the importance of utilizing GIS and Remote Sensing technologies. The objectives of the study include identifying landslide-prone areas, analyzing the factors contributing to landslide susceptibility, and developing a landslide susceptibility map using GIS and Remote Sensing techniques. The limitations of the study are outlined, acknowledging potential challenges such as data availability, accuracy, and scale limitations. The scope of the study defines the study area, data sources, and methodology to be employed. The significance of the study lies in its potential to enhance landslide risk assessment and inform land use planning and disaster preparedness strategies. The structure of the research outlines the organization of the study, including the chapters and key components of each section. Definitions of key terms used throughout the research are provided to ensure clarity and understanding. The literature review chapter presents a comprehensive review of existing research on landslide susceptibility assessment, GIS applications, and Remote Sensing techniques. Key concepts, methodologies, and findings from relevant studies are synthesized to provide a theoretical foundation for the research project. The research methodology chapter details the data collection methods, GIS tools, and Remote Sensing techniques employed in the analysis of landslide susceptibility. Steps such as data acquisition, preprocessing, terrain analysis, and statistical modeling are described in detail. The selection criteria for input variables and the process of developing a susceptibility model are outlined to ensure transparency and reproducibility of the study. The discussion of findings chapter presents the results of the landslide susceptibility analysis, highlighting the spatial distribution of landslide-prone areas and the factors influencing susceptibility. The interpretation of results, validation of the susceptibility model, and comparison with existing studies are discussed to assess the effectiveness of the GIS and Remote Sensing techniques employed. In conclusion, the research project summarizes the key findings, implications, and recommendations for future research and practical applications. The limitations of the study are acknowledged, and suggestions for further research to improve landslide susceptibility assessment are provided. Overall, this study contributes to the growing body of knowledge on landslide risk assessment and demonstrates the value of GIS and Remote Sensing techniques in enhancing disaster preparedness and mitigation efforts.

Project Overview