Project Abstract

Abstract
Landslides pose significant threats to human lives, infrastructure, and the natural environment, making their analysis and prediction crucial for risk mitigation and disaster management. This research project focuses on the analysis of landslide susceptibility using remote sensing techniques and Geographic Information Systems (GIS). The study aims to explore the relationship between various factors such as topography, land cover, soil properties, and rainfall patterns in determining landslide susceptibility in a specific study area. Chapter One provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the research, and definition of key terms. Chapter Two presents a comprehensive literature review that examines existing studies on landslide susceptibility assessment, remote sensing applications, GIS techniques, and relevant factors influencing landslides. Chapter Three details the research methodology, including data collection methods, remote sensing data acquisition, GIS analysis techniques, and statistical models used for susceptibility mapping. The chapter also discusses the selection of the study area, data processing procedures, and validation strategies employed to evaluate the accuracy of the results. In Chapter Four, the research findings are extensively discussed, highlighting the spatial distribution of landslide susceptibility zones based on the analysis of various factors. The chapter examines the relationships between topographic parameters, land cover types, soil characteristics, and historical landslide occurrences to assess their impact on landslide susceptibility in the study area. The results are presented through maps, statistical analyses, and spatial visualization techniques. Chapter Five serves as the conclusion and summary of the project research, summarizing the key findings, implications, limitations, and recommendations for future research. The study contributes to the field of geo-science by providing valuable insights into the use of remote sensing and GIS for landslide susceptibility analysis, offering practical applications for disaster risk reduction and land use planning. Overall, this research project aims to enhance our understanding of landslide susceptibility assessment using advanced technologies and spatial analysis tools. By combining remote sensing data and GIS techniques, the study provides a comprehensive framework for identifying high-risk areas prone to landslides, enabling proactive measures to mitigate potential hazards and protect vulnerable populations and infrastructure. Keywords Landslide susceptibility, Remote sensing, Geographic Information Systems (GIS), Risk assessment, Spatial analysis, Disaster management, Topography, Land cover, Soil properties, Rainfall patterns.

Project Overview