Project Abstract

Abstract
Urban heat islands (UHIs) are one of the most significant environmental challenges of urban areas, impacting both the environment and the health and well-being of residents. This research project focuses on the analysis of the urban heat island effect using advanced remote sensing and Geographic Information Systems (GIS) techniques. The study aims to investigate the spatial distribution and intensity of UHIs within a selected urban area, with a focus on understanding the underlying factors contributing to this phenomenon. The research begins with a comprehensive introduction providing background information on UHIs, highlighting their impact on urban environments and the need for effective mitigation strategies. The problem statement identifies the gaps in current knowledge and research, emphasizing the importance of utilizing remote sensing and GIS technologies for a detailed analysis of UHIs. The objectives of the study include mapping and quantifying the extent of UHIs, identifying key contributing factors, and assessing the effectiveness of green infrastructure in mitigating UHI effects. The limitations of the study, such as data availability and potential inaccuracies in remote sensing data, are acknowledged, along with the scope of the research, which focuses on a specific urban area. The significance of the study lies in its potential to provide valuable insights for urban planners, policymakers, and researchers in developing sustainable strategies to combat UHIs and improve urban livability. The structure of the research is outlined, detailing the organization of chapters and the flow of the study. The literature review delves into existing research on UHIs, remote sensing techniques, GIS applications, and urban climate studies. It discusses the methodologies employed by previous studies and identifies gaps that this research aims to address. The research methodology section describes the data collection process, including the acquisition of satellite imagery, land surface temperature data, and urban morphology data. It outlines the data processing techniques, such as image classification and spatial analysis, to map and analyze UHIs. The discussion of findings chapter presents the results of the analysis, including spatial patterns of UHIs, correlations with land use types, and the impact of green spaces on reducing UHI intensity. The implications of the findings are discussed in relation to urban planning and environmental management strategies. In conclusion, this research project contributes to the understanding of UHIs and offers valuable insights into the application of remote sensing and GIS techniques for UHI analysis. The study emphasizes the importance of sustainable urban planning practices and the integration of green infrastructure to mitigate the adverse effects of UHIs on urban environments and human health.

Project Overview