Analysis of urban heat islands in major cities using remote sensing and GIS techniques.

Thesis Abstract

Urban heat islands (UHIs) are a significant environmental concern in major cities worldwide due to their adverse impacts on public health, energy consumption, and overall urban climate. In this thesis, the focus is on analyzing UHIs in major cities using remote sensing and Geographic Information System (GIS) techniques. The primary objective is to understand the spatial distribution, temporal patterns, and contributing factors of UHIs in urban areas to inform sustainable urban planning and climate mitigation strategies. The thesis begins with an introduction providing an overview of UHIs and their implications for urban environments. It also presents the background of the study, highlighting the importance of addressing UHIs in the context of urbanization and climate change. The problem statement identifies the research gap in current UHI studies and sets the foundation for the research objectives, which include mapping UHIs, analyzing their temporal variations, and identifying the key drivers of UHI formation. The limitations and scope of the study are outlined to define the boundaries of the research and manage expectations regarding the outcomes. The significance of the study is emphasized in terms of its contribution to the field of urban climatology, urban planning, and environmental sustainability. The structure of the thesis is detailed to guide the reader through the subsequent chapters, which include a comprehensive literature review, research methodology, discussion of findings, and conclusion. The literature review explores existing research on UHIs, remote sensing applications, GIS techniques, and urban climate modeling to build a theoretical framework for the study. Key concepts such as land cover classification, surface temperature analysis, and heat island intensity metrics are discussed to provide a solid foundation for the research methodology. The research methodology section outlines the data collection process, including satellite imagery acquisition, preprocessing steps, and spatial analysis techniques. It also describes the statistical methods used to analyze UHI patterns, assess their temporal variations, and identify the drivers influencing UHI formation in major cities. The discussion of findings presents the results of the spatial analysis, temporal trend analysis, and correlation studies conducted to characterize UHIs in selected major cities. The findings highlight the spatial heterogeneity of UHIs, seasonal variations in UHI intensity, and the influence of land cover types on UHI formation. The implications of these findings for urban planning and climate resilience are discussed in the context of sustainable development goals and climate change adaptation strategies. The conclusion summarizes the key findings of the study, reiterates the research objectives, and discusses the implications of the research for urban planning and environmental management. Recommendations for future research are provided to further advance the understanding of UHIs and inform evidence-based policy decisions to mitigate the impacts of UHIs in major cities. In conclusion, this thesis contributes to the growing body of knowledge on UHIs by utilizing remote sensing and GIS techniques to analyze UHIs in major cities. The findings of this study have practical implications for urban planners, policymakers, and environmental scientists seeking to address the challenges posed by UHIs in the context of rapid urbanization and climate change.