Thesis Abstract

Abstract
Urban areas worldwide are experiencing the Urban Heat Island (UHI) effect, leading to significant environmental and public health implications. This study focuses on analyzing the UHI effect in the city of [City Name] using advanced Remote Sensing (RS) and Geographic Information System (GIS) techniques. The primary objective is to understand the spatial and temporal patterns of UHI in [City Name] and to provide valuable insights for urban planners and policymakers to mitigate its impacts. The research methodology involves the collection and analysis of satellite imagery data to quantify land surface temperature variations across different land cover types in the study area. GIS will be utilized to spatially visualize and analyze the UHI phenomenon, considering factors such as land use, vegetation cover, urban morphology, and population density. Additionally, field surveys will be conducted to validate the remotely sensed data and to gather ground truth information for calibration and validation purposes. The findings from this study are expected to reveal the extent and intensity of the UHI effect in [City Name], identifying hotspots and vulnerable areas within the urban landscape. The analysis will also assess the relationship between UHI and various socio-economic and environmental factors, providing a comprehensive understanding of the underlying causes and impacts of urban heat islands in the study area. The significance of this research lies in its potential to inform sustainable urban planning strategies and climate adaptation measures to combat the adverse effects of UHI. By integrating RS and GIS technologies, this study aims to contribute to the growing body of knowledge on urban climatology and environmental management, with practical implications for enhancing urban resilience and improving quality of life in [City Name]. In conclusion, the analysis of the UHI effect in [City Name] using RS and GIS techniques offers valuable insights into the dynamics of urban heat islands and their implications for urban sustainability. By highlighting the spatial patterns and drivers of UHI, this study provides a foundation for evidence-based decision-making and proactive measures to mitigate heat-related risks in urban environments.

Thesis Overview