Project Abstract

Abstract
Landslides are natural hazards that pose significant threats to human lives, infrastructure, and the environment. Understanding landslide susceptibility is crucial for effective risk management and mitigation strategies. This research project focuses on the analysis of landslide susceptibility using remote sensing and Geographic Information System (GIS) techniques. The study aims to develop a comprehensive methodology for assessing landslide susceptibility by integrating remote sensing data with GIS technology. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the research, and definition of key terms. Chapter Two presents a detailed literature review, covering ten key aspects related to landslide susceptibility, remote sensing, GIS applications, and previous research studies in this field. Chapter Three outlines the research methodology, detailing the eight key components such as data collection, data preprocessing, landslide inventory mapping, selection of landslide causative factors, data analysis techniques, model development, validation strategies, and uncertainty assessment. The methodology aims to provide a systematic approach to analyzing landslide susceptibility using remote sensing and GIS tools. In Chapter Four, the research findings are discussed in detail, highlighting the seven key aspects of the analysis, interpretation, and implications of the results. The chapter provides an in-depth examination of the relationships between landslide susceptibility factors and their spatial distribution, as well as the effectiveness of the developed model in predicting landslide susceptibility. Chapter Five presents the conclusion and summary of the research project, summarizing the key findings, implications, and recommendations for future research and practical applications. The study contributes to the advancement of knowledge in landslide susceptibility assessment and demonstrates the potential of remote sensing and GIS techniques in enhancing landslide risk management strategies. Overall, this research project provides a comprehensive analysis of landslide susceptibility using remote sensing and GIS techniques, offering insights into the spatial distribution and factors influencing landslide occurrence. The methodology developed in this study can be applied to other regions facing similar landslide hazards, contributing to the development of effective risk reduction measures and sustainable land use planning practices.

Project Overview