Analysis of Land Use Change Using Remote Sensing and Geographic Information Systems (GIS) Techniques

Thesis Abstract

Abstract
This thesis presents a comprehensive analysis of land use change utilizing remote sensing and Geographic Information Systems (GIS) techniques. The study aims to investigate the dynamics of land use change over a specific time period and identify the driving forces behind these changes. The research employs satellite imagery and GIS tools to analyze land use patterns and detect changes in land cover types. The methodology includes image classification, change detection techniques, and spatial analysis to assess the extent and nature of land use changes. Chapter One provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. It also includes a definition of key terms to establish a common understanding of the concepts used throughout the study. Chapter Two consists of a comprehensive literature review covering ten key areas related to land use change, remote sensing, GIS applications in land use analysis, and previous studies on similar topics. The review provides a theoretical framework for the research and highlights gaps in existing literature that this study aims to address. Chapter Three details the research methodology used in this study, including data collection, preprocessing of satellite imagery, image classification techniques, change detection methods, and spatial analysis procedures. The chapter also discusses the selection criteria for the study area and the tools and software utilized in the analysis. Chapter Four presents a detailed discussion of the findings obtained from the analysis of land use change using remote sensing and GIS techniques. The chapter explores the spatial distribution of land cover changes, identifies the major drivers of land use change, and assesses the implications of these changes on the environment and society. It also includes thematic maps and visual representations to illustrate the results. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and providing recommendations for future studies in the field of land use change analysis. The chapter also highlights the significance of the study in contributing to the understanding of land use dynamics and its applications in sustainable land management and planning. Overall, this thesis contributes to the body of knowledge on land use change analysis by demonstrating the effectiveness of remote sensing and GIS techniques in monitoring and assessing land cover changes. The research findings have implications for land use planning, environmental management, and decision-making processes, emphasizing the importance of integrating spatial technologies in addressing land use challenges and promoting sustainable development.