Thesis Abstract

Abstract
Urban expansion is a critical issue affecting cities worldwide, leading to various environmental, social, and economic challenges. The use of Remote Sensing and Geographic Information Systems (GIS) technologies has become increasingly important in studying and managing urban growth. This thesis focuses on the analysis of urban expansion using Remote Sensing and GIS techniques, with the aim of understanding the patterns, drivers, and impacts of urban growth in a selected city. The research begins with an introduction providing background information on urban expansion and the importance of utilizing Remote Sensing and GIS technologies in studying this phenomenon. The problem statement highlights the need for in-depth analysis of urban growth patterns to support sustainable urban planning and development. The objectives of the study are outlined to investigate the spatial and temporal dynamics of urban expansion, identify key drivers of growth, and assess the impacts on the environment and society. The limitations and scope of the study are discussed to provide a clear understanding of the research boundaries and constraints. The significance of the study lies in its potential to provide valuable insights for urban planners, policymakers, and researchers in managing urban growth and promoting sustainable development. The structure of the thesis is presented to guide the reader through the organization of chapters and content. Chapter two presents a comprehensive literature review covering ten key areas related to urban expansion, Remote Sensing, GIS applications, urban growth modeling, and sustainable urban development. The review synthesizes existing knowledge and identifies gaps in the literature that the current study aims to address. Chapter three details the research methodology, including data collection, processing techniques, and analysis procedures. Eight key components are discussed, such as data sources, image processing methods, land use classification techniques, spatial analysis tools, and modeling approaches used to assess urban expansion dynamics. Chapter four presents the findings of the study, analyzing the spatial patterns of urban growth, identifying the driving forces behind expansion, and evaluating the impacts on the urban environment and society. The discussion is supported by maps, graphs, and statistical analyses to illustrate the results effectively. In the final chapter, chapter five, the conclusions drawn from the study are summarized, highlighting the key findings, implications, and recommendations for future research and urban planning practices. The thesis concludes with a reflection on the significance of utilizing Remote Sensing and GIS techniques in understanding urban expansion dynamics and promoting sustainable urban development. In conclusion, this thesis contributes to the body of knowledge on urban expansion by employing Remote Sensing and GIS technologies to analyze urban growth patterns comprehensively. The findings provide valuable insights for decision-makers to formulate effective strategies for managing urban expansion sustainably and enhancing the quality of urban life.

Thesis Overview