气候变化领域集成服务门户(CCPortal): Quantifying the impact of urban trees on land surface temperature in global cities

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DOI	10.1016/j.isprsjprs.2024.03.007
	Quantifying the impact of urban trees on land surface temperature in global cities
	He, Tingting; Hu, Yihua; Guo, Andong; Chen, Yuwei; Yang, Jun; Li, Mengmeng; Zhang, Maoxin
发表日期	2024
ISSN	0924-2716
EISSN	1872-8235
起始页码	210
卷号	210
英文摘要	Urban trees are not only a core component of natural infrastructure but also an effective way to mitigate urban heat with nature-based solutions. Comprehensively revealing the cooling effects of trees and their drivers is valuable for enhancing urban climate resilience and promoting sustainable development. While existing studies have investigated the cooling effects of two-dimensional characteristics of trees, there has been limited consideration of the effects of vertical structure, especially in various climatic zones across the globe. In this study, we employed the Google Earth Engine cloud platform and the random forest algorithm to comprehensively assess the impact of three-dimensional (3D) characteristics of trees on land surface temperature across 596 cities worldwide. Results suggest that LST is generally lower in tree-covered areas than their surrounding built-up land, especially in the summer, with an average decrease of about 2.13 degrees C. We also found a significant negative correlation between tree canopy height and LST (similar to-0.83). Specifically, the mean LST decreases by about 0.16 degree celsius for every 1m increase in tree height. Globally, the average cooling intensity of trees is 1.86 degrees C, and is about 1.06 degrees C higher in summer than in winter. It is worth noting that during winter, the cooling effect of trees is more pronounced closer to the equator. In addition, the 3D characteristics of trees contribute more significantly to cooling intensity compared to their surrounding environmental factors. This study not only fills a global knowledge gap regarding the impact of 3D features of trees on LST, but also provides valuable insights into urban planning and management in response to climate change.
英文关键词	Tree canopy height; Land surface temperature; Cooling effect; Building form; Random forests
语种	英语
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001211287600001
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300757
作者单位	Zhejiang University; Zhejiang University; Northeastern University - China
推荐引用方式 GB/T 7714	He, Tingting,Hu, Yihua,Guo, Andong,et al. Quantifying the impact of urban trees on land surface temperature in global cities[J],2024,210.
APA	He, Tingting.,Hu, Yihua.,Guo, Andong.,Chen, Yuwei.,Yang, Jun.,...&Zhang, Maoxin.(2024).Quantifying the impact of urban trees on land surface temperature in global cities.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,210.
MLA	He, Tingting,et al."Quantifying the impact of urban trees on land surface temperature in global cities".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 210(2024).