Vallivattam, R. orcid.org/0000-0001-8707-3795, Liu, Z. orcid.org/0000-0002-1412-8377 and Brindley, P. orcid.org/0000-0001-9989-9789 (2025) The effect of urban greenspace on land surface temperatures: a spatial analysis in Sheffield, UK. Land, 14 (11). 2284.
Abstract
With the intensification of climate change and the urban heat island effect, there is growing awareness of the role of urban greening in improving the urban climate. The aim of this study is to explore how various characteristics of green spaces—including type, configuration (size and shape), location, and distance from the urban centre—affect their cooling effect. Landsat remote sensing land surface temperature data were analysed through Geographic Information Systems, using Sheffield as a case study. The results show that the cooling effect of woodland was significantly stronger than that of grassland and urban parks, with a cooling intensity reaching up to 2.93 °C, and a cooling extent that can reach up to 500 m beyond its boundary. When closer to the city centre, both the shape and size of green spaces show a positive correlation with their cooling effect, but this relationship becomes less evident as the distance from the city centre increases. The size of a woodland had a greater effect in terms of a reduction in land surface temperature than the shape of the woodland. The findings of this study can provide a better framework for landscape architects and urban planners to plan for climate change and propose stronger green strategies to mitigate the urban heat island effect.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | urban green spaces; vegetation cooling; urban heat island; land surface temperature; remote sensing |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture and Landscape |
| Date Deposited: | 20 Nov 2025 10:55 |
| Last Modified: | 20 Nov 2025 10:55 |
| Published Version: | https://doi.org/10.3390/land14112284 |
| Status: | Published |
| Publisher: | MDPI AG |
| Refereed: | Yes |
| Identification Number: | 10.3390/land14112284 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234726 |
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