Assessing the Impact of Urban Green Infrastructure on Heat Island Mitigation in [City/Region]: A Spatial Analysis Using Remote Sensing and GIS (Final Year Project topic)

Project Abstract

This study investigates how urban green infrastructure (UGI) influences urban heat island (UHI) effects in [City/Region] through a spatial analysis that integrates remote sensing data and GIS-based methodologies. The research aims to quantify the cooling benefits of different UGI components—green roofs, street trees, parks, and permeable surfaces—and to examine how they interact with urban morphology, land use, and surface materials to modulate near-surface temperatures during hot seasons. A multi-temporal remote sensing approach utilizing Landsat and Sentinel-2 imagery is employed to derive land surface temperature (LST) and normalized difference vegetation index (NDVI) metrics, enabling a comparative assessment across seasons and land cover types. GIS techniques are used to map and classify UGI inventories, compute cooling intensity indices, and develop a standardized spatial framework for UHI mitigation potential. The methodology includes (1) data preprocessing and radiometric correction of satellite imagery, (2) extraction of LST and NDVI composites for peak and shoulder seasons, (3) development of a UGI typology based on vegetation structure, connectivity, and soil permeability, (4) integration with high-resolution urban canopy and surface albedo datasets, and (5) spatial regression and machine learning models to quantify the association between UGI characteristics and LST while controlling for socio-economic and anthropogenic factors. The study also implements a scenario-based analysis to simulate incremental UGI installation and its projected impact on mitigating UHI across the urban fabric, considering constraints such as space availability, maintenance, and water resources. Validation is conducted through ground-based temperature observations and cross-validation of LST estimations with in-situ measurements where feasible. Sensitivity analyses explore the robustness of findings to variations in seasonal timing, imagery resolution, and model specification. The anticipated outcomes include (i) a detailed map of UHI intensity and cooling hotspots, (ii) quantified contribution of each UGI component to LST reduction, and (iii) policy-relevant recommendations for urban planning that optimize air temperature relief, thermal comfort, and energy efficiency. The study emphasizes the need for integrated urban design that aligns green infrastructure allocation with microclimate goals, thereby informing municipal climate action plans, zoning regulations, and green-blue infrastructure investments. By bridging remote sensing analytics with spatial decision-support, the research provides a replicable framework for cities seeking evidence-based strategies to mitigate heat risks in the face of rapid urbanization and climate variability.

Project Overview

What This Project Is About

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The project looks at how introducing or increasing green spaces in cities can reduce heat buildup and make urban areas more comfortable. It uses simple maps and basic data to see how trees, parks, and green roofs influence temperatures and everyday life.

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The Problem It Addresses

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Cities often get very hot, especially in crowded areas with lots of concrete. This heat makes people uncomfortable, raises energy use for cooling, and can impact health. The study fills gaps in how we measure and compare the cooling effects of green infrastructure in a city or region.

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Objectives of the Project

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1. Explain what urban green infrastructure (UGI) is and why it matters for heat reduction.
2. Identify which areas in the city show the strongest heat islands.
3. Assess how different types of greenery relate to temperature changes.
4. Provide simple, actionable ideas for improving UGI to lower heat.

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What You Will Do Step by Step

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1. Review basic literature on heat islands and green spaces.
2. Collect easy-to-access temperature and land-use data.
3. Create simple maps showing where heat is highest and where greens exist.
4. Analyze relationships between green space and temperature using straightforward comparisons.
5. Discuss findings in plain language and suggest practical improvements.

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Expected Outcome

A clear set of areas where adding or expanding green spaces could reduce heat most, plus simple guidelines for urban planners to boost cooling effects with greenery.