Project Abstract

Abstract
Landslides pose a significant threat to communities and infrastructure in various regions worldwide. To effectively mitigate these hazards, it is crucial to understand the factors influencing landslide susceptibility. This research focuses on the analysis of landslide susceptibility in a specific region using Geographic Information System (GIS) and Remote Sensing techniques. The study aims to investigate the spatial distribution of landslides, identify the causative factors, and develop a reliable susceptibility model to aid in future landslide risk assessment and management strategies. The research methodology involves a comprehensive literature review to establish the theoretical framework and gain insights into previous studies on landslide susceptibility mapping. Remote sensing data, including satellite imagery and digital elevation models, will be utilized to extract relevant information on land cover, slope, aspect, lithology, and rainfall patterns. GIS software will be employed to integrate and analyze these datasets to create a spatial database for the study area. Chapter One provides the introduction to the research, outlining the background, problem statement, objectives, limitations, scope, significance, structure, and definition of terms. Chapter Two presents an extensive literature review covering ten key themes related to landslide susceptibility assessment, including methodologies, data sources, causative factors, and modeling techniques. In Chapter Three, the research methodology is detailed, encompassing data collection, processing techniques, GIS analysis procedures, and model development steps. The chapter includes a discussion on the selection of study area, data sources, and the application of statistical and spatial analysis tools to assess landslide susceptibility. Chapter Four presents the findings of the study, including the spatial distribution of landslides, the identification of key factors influencing susceptibility, and the development of a susceptibility model. The chapter provides a detailed discussion on the results, highlighting the significance of each factor and its contribution to landslide occurrence in the study area. In Chapter Five, the conclusion and summary of the research are presented, highlighting the key findings, implications, and recommendations for future research and practical applications. The study contributes to the existing body of knowledge on landslide susceptibility mapping and provides valuable insights for stakeholders involved in disaster risk reduction and land use planning. Overall, this research aims to enhance our understanding of landslide susceptibility in the specific region under investigation and contribute to the development of effective strategies for mitigating landslide risks through the integration of GIS and Remote Sensing techniques.

Project Overview

The project topic, "Analysis of Landslide Susceptibility in a Specific Region Using GIS and Remote Sensing Techniques," focuses on investigating the factors influencing landslides in a particular region through the application of Geographic Information System (GIS) and Remote Sensing technologies. Landslides pose significant risks to human lives, infrastructure, and the environment, making their analysis crucial for effective risk management and mitigation strategies. GIS is a powerful tool for spatial analysis that allows for the integration of various data layers, such as topography, geology, land cover, and rainfall patterns, to assess landslide susceptibility. Remote sensing, on the other hand, involves the use of satellite or aerial imagery to monitor and analyze land surface changes, which can provide valuable information on slope stability and potential landslide triggers. By combining these two technologies, the research aims to identify the key factors contributing to landslide susceptibility in the target region. The study will involve collecting relevant data sets, such as topographic maps, geological surveys, land cover classifications, and precipitation records, to develop a comprehensive landslide susceptibility model. This model will enable the identification of high-risk areas prone to landslides, allowing for the implementation of targeted mitigation measures to reduce the impact of future events. The research overview will include a detailed description of the study area, the methodology employed, the data sources utilized, and the specific objectives of the research. The findings of the study will be presented in a structured manner, highlighting the key factors influencing landslide susceptibility and providing insights into the effectiveness of GIS and Remote Sensing techniques in landslide analysis. The research overview will conclude with a discussion of the implications of the findings and recommendations for future research and practical applications in landslide risk management.