Analysis of Urban Growth Patterns Using Remote Sensing and Geographic Information Systems in a Developing City

Thesis Abstract

Abstract
Urban growth is a complex phenomenon that requires detailed analysis to understand its patterns and implications, especially in developing cities facing rapid urbanization. This thesis focuses on the analysis of urban growth patterns using remote sensing and geographic information systems (GIS) in a developing city. The study aims to provide valuable insights into the dynamics of urban expansion and the factors driving growth in the selected city. The research begins with an introduction to the significance of studying urban growth patterns in developing cities and the role of remote sensing and GIS technologies in this analysis. The background of the study highlights the challenges associated with urbanization and the need for effective planning strategies to manage urban growth sustainably. The problem statement identifies the lack of comprehensive studies on urban growth patterns in the context of developing cities, emphasizing the importance of filling this research gap. The objectives of the study include examining the spatial distribution of urban growth, identifying key drivers of expansion, and assessing the impact of urbanization on the environment and society. Limitations of the study are acknowledged, including data availability constraints and potential inaccuracies in remote sensing imagery. The scope of the study is defined in terms of the study area, data sources, and analytical methods employed to analyze urban growth patterns. The significance of the study lies in its potential to inform urban planning and policy-making processes, guiding decision-makers in managing urban growth effectively and sustainably. The structure of the thesis is outlined, providing a roadmap for the reader to navigate through the various chapters and sections of the research work. Chapter two presents a comprehensive literature review on urban growth patterns, remote sensing applications, GIS techniques, and relevant studies in the field of urban geography and planning. The review synthesizes existing knowledge and identifies gaps that the current study aims to address. Chapter three details the research methodology, including data collection methods, image processing techniques, and spatial analysis tools used to analyze urban growth patterns. The chapter outlines the step-by-step process followed in conducting the research and justifies the chosen methodological approach. Chapter four presents the findings of the study, highlighting the spatial distribution of urban growth, key drivers of expansion, and the environmental and social impacts of urbanization in the developing city. The discussion provides insights into the patterns observed and their implications for future urban development strategies. Finally, chapter five offers a conclusion and summary of the research findings, reiterating the key insights and contributions of the study. Recommendations for future research and policy implications are also provided, emphasizing the importance of sustainable urban planning in managing urban growth in developing cities. In conclusion, this thesis contributes to the understanding of urban growth patterns in developing cities using remote sensing and GIS technologies. By analyzing the dynamics of urban expansion and its impacts, the study provides valuable insights for urban planners, policymakers, and researchers working towards sustainable urban development in rapidly growing cities.