Title
Characterizing the thermal effects of vegetation on urban surface temperature
Author
Yang, Jinxin (Guangzhou University)
Shi, Qian (Sun Yat-sen University)
Menenti, M. (TU Delft Optical and Laser Remote Sensing; Chinese Academy of Sciences)
Xie, Yanhua (University of Wisconsin-Madison)
Wu, Zhifeng (Guangzhou University)
Xu, Yong (Guangzhou University)
Abbas, Sawaid (University of Punjab)
Date
2022
Abstract
Vegetation is important for urban heat mitigation. The cooling intensity of vegetation is affected by background climate and urban design. How to evaluate vegetation cooling efficiency under different climate conditions is still an issue open to discussion. In this study, a normalized indicator of urban vegetation cooling efficiency (NVCE) is proposed as a metric of urban vegetation cooling efficiency applicable and comparable under different climate and urban conditions. When surfaces are only covered by vegetation, the cooling effects should be highest than other pixels at the local climate scale. The difference of surface temperature between the pure vegetation surfaces and surfaces without vegetations (Tr, b − Tr, v) is the range of the vegetation cooling intensity at the same local climate conditions. Difference between radiometric surface temperature of a mixed pixel and the vegetation temperature within the mixed pixel (Ti, r − Ti, v) is excess temperature of pixel i. The ratio of (Ti, r − Ti, v) to (Tr, b − Tr, v) can indicate how much percent of existed excess temperature after vegetation cooling effects for pixel i under such local climate condition. Thus, the NVCE is defined as (Ti, r − Ti, v)/(Tr, b − Tr, v). Based on the high spatial resolution data, the Ti, v and Ti, rwithin each 30 m × 30 m grid are derived to calculate the NVCE and the relationships between NVCE and fractional vegetation cover were studied under different conditions. Results showed that NVCE can reduce the differences caused by background climate in the assessment of vegetation cooling efficiency, i.e. making vegetation cooling efficiency under different climate conditions comparable. The NVCE is also sensitive to the vegetation fraction. When vegetation fraction is smaller than 0.2, the mean value of NVCE is about 0.5 and no obvious change. This means that the vegetation has no obvious cooling effects when vegetation fraction is smaller than 0.2. When the vegetation fraction is higher than 0.2, NVCE decreases linearly with increasing vegetation fraction. When the vegetation fraction is higher than 0.9, NVCE tends to 0. This indicates that 0.2 for vegetation fraction is the threshold of vegetation cooling effects. This study can provide information for evaluating the vegetation cooling efficiency under different climate and geometric conditions. This study also can provide useful information for urban green infrastructure design and planning, e.g. the vegetation fraction should be higher than 0.2 for urban cooling and the vegetation cooling efficiency can reach maximum when SVF is about 0.5 to 0.6.
Subject
Remote sensing
Urban heat island
Vegetation cooling effects
To reference this document use:
http://resolver.tudelft.nl/uuid:4d05228f-4cf5-42a5-9319-f4c6fdbe4a2c
DOI
https://doi.org/10.1016/j.uclim.2022.101204
Embargo date
2023-07-01
ISSN
2212-0955
Source
Urban Climate, 44
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2022 Jinxin Yang, Qian Shi, M. Menenti, Yanhua Xie, Zhifeng Wu, Yong Xu, Sawaid Abbas