Integration of Remote Sensing and GIS for Urban Growth Monitoring and Planning

Thesis Abstract

Abstract
The integration of Remote Sensing (RS) and Geographic Information Systems (GIS) has become increasingly important in the domain of urban growth monitoring and planning due to its ability to provide timely and accurate spatial information for decision-making processes. This thesis explores the application of RS and GIS technologies in the context of urban growth monitoring and planning, with a focus on addressing the challenges posed by rapid urbanization and population growth. The study begins with an introduction that outlines the background of the research, the problem statement, objectives, limitations, scope, significance, and the structure of the thesis. A comprehensive review of relevant literature is presented in Chapter Two, highlighting key concepts, theories, and previous studies related to RS, GIS, urban growth monitoring, and planning. Chapter Three details the research methodology employed in this study, including data collection techniques, data processing methods, and the tools and software used for analysis. The methodology section also discusses the sampling strategy, study area selection, and the research design adopted to achieve the study objectives. Chapter Four presents the findings of the study, which are discussed in detail and supported by relevant maps, tables, and figures. The results of the analysis provide insights into the patterns of urban growth, land use changes, and population dynamics in the study area, demonstrating the effectiveness of RS and GIS technologies in monitoring and planning urban development. Finally, Chapter Five offers a comprehensive conclusion and summary of the thesis, highlighting the key findings, implications, and recommendations for future research and policy development. The study underscores the importance of integrating RS and GIS technologies for effective urban growth monitoring and planning, emphasizing the need for sustainable and data-driven approaches to address the challenges of rapid urbanization. In conclusion, this thesis contributes to the existing body of knowledge on the integration of RS and GIS for urban growth monitoring and planning, providing valuable insights for researchers, practitioners, and policymakers involved in urban development and land management. The study demonstrates the potential of RS and GIS technologies to enhance decision-making processes and support sustainable urban development practices in the face of rapid urban growth and environmental challenges.