Analysis of Urban Growth Patterns Using Remote Sensing and GIS Techniques

Thesis Abstract

Abstract
Urbanization is a global phenomenon that has resulted in significant changes in land use and land cover patterns, leading to various environmental, social, and economic challenges. Understanding urban growth patterns is crucial for sustainable urban planning and management. Remote sensing and Geographic Information Systems (GIS) have emerged as valuable tools for analyzing urban growth dynamics. This thesis focuses on the analysis of urban growth patterns using remote sensing and GIS techniques in order to provide insights into the spatial and temporal dynamics of urbanization. The study begins with an introduction that outlines the background of the research, presents the problem statement, objectives, limitations, scope, significance, and structure of the thesis. A comprehensive literature review is conducted in Chapter Two, covering various studies related to urban growth patterns, remote sensing, GIS applications, and methodologies used in analyzing urbanization dynamics. Chapter Three details the research methodology employed in this study. It includes the selection of study area, data collection, pre-processing, image classification, change detection techniques, accuracy assessment, and spatial analysis methods. The methodology also highlights the integration of remote sensing data with GIS tools to analyze urban growth patterns effectively. Chapter Four presents the findings of the study, which include the identification and characterization of urban growth patterns over a specific time period. The analysis reveals the spatial distribution of urban expansion, land cover changes, and the factors influencing urban growth in the study area. Various thematic maps, statistical analyses, and spatial metrics are utilized to provide a comprehensive understanding of urban growth dynamics. Finally, Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the study for urban planning and management, and suggesting future research directions. The study emphasizes the importance of utilizing remote sensing and GIS techniques for monitoring and analyzing urban growth patterns to support sustainable urban development practices. Overall, this thesis contributes to the existing knowledge on urban growth analysis by demonstrating the effectiveness of remote sensing and GIS technologies in capturing and monitoring urbanization dynamics. The findings of this study can inform policymakers, urban planners, and researchers in making informed decisions and developing strategies for sustainable urban development in the face of rapid urbanization.