Author:
Verma Ravi,Zawadzka Joanna Ewa,Garg Pradeep Kumar,Corstanje Ron
Abstract
Abstract
Context
Urban parks are essential for maintaining aesthetics within cities and keeping their its energy balance by helping mitigate the Urban Heat Island (UHI) effect through controlling ambient and land surface temperature (LST).
Objectives
To investigate the impact of cooling in terms of distance by variously configured urban parks of a humid subtropical city, using landscape metrics and open-source data.
Methods
Land use (LU) was obtained through maximum likelihood classification of 3 m resolution aerial RGB-NIR imagery supported by ground control points and park boundaries collected during field survey. LST at matching resolution was obtained through downscaling of Landsat-8 LST at 30/100m resolution, calculated with the Radiative Transfer Equation (RTE). Landscape metrics for patches of parks were calculated using landscapemetrics R library and related to neighbourhood distances over built-up land use (LU).
Results
Urban parks with homogenous cores and less complex shape provide distinctly higher cooling of neighbouring built-up LU of circa 2.55 °C over the distance of 18 m from park boundaries. Four metrics: contiguity index (CONTIG), core area index (CAI), fractal dimension index (FRAC) and perimeter-area ratio (PARA) represent significant relationship between spatial configuration of parks and their cooling distance. No cooling capacity of parks regardless of their shape and core was observed beyond the distance of 18 m, which remained constant with small fluctuations in the range of 0.5 °C up to the distance of 600 m.
Conclusions
The study concludes that cooling distance of urban parks in their neighbourhood extends up to 18 m, which is shorter than suggested by other studies.
Funder
Commonwealth Split Site Scholarship
Publisher
Springer Science and Business Media LLC
Reference94 articles.
1. Agam N, Kustas WP, Anderson MC, Li F, Neale CM (2007) A vegetation index based technique for spatial sharpening of thermal imagery. Remote Sens Environ 107(4):545–558
2. Alexander C (2021) Influence of the proportion, height and proximity of vegetation and buildings on urban land surface temperature. Int J Appl Earth Obs Geoinf 95:102265
3. Bala R, Prasad R, Yadav VP (2019) Disaggregation of Modis land surface temperature in urban areas using improved thermal sharpening techniques. Adv Space Res 64(3):591–602
4. Bao T, Li X, Zhang J, Zhang Y, Tian S (2016) Assessing the distribution of urban green spaces and its anisotropic cooling distance on urban heat island pattern in Baotou, China. ISPRS Int J Geo-Information 5(2):12
5. Bartesaghi Koc C, Osmond P, Peters A (2018) Evaluating the cooling effects of green infrastructure: a systematic review of methods, indicators and data sources. Sol Energy 166:486–508