Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data

doi:10.1016/j.isprsjprs.2022.01.002

	Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data
	Hu, Tianyu 1; Wei, Dengjie 1; Su, Yanjun 1; Wang, Xudong 2; Zhang, Jing 1; Sun, Xiliang 1; Liu, Yu 3; Guo, Qinghua3,4
	2022
发表期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN	0924-2716
卷号	184 页码:203-214
摘要	Street trees are important components of an urban green space and understanding and measuring their ecological and cultural services is crucial for assessing the quality of streets and managing urban environments. Currently, most studies mainly focus on evaluating the ecological services of street trees by measuring the amount of greenness, but how to evaluate their aesthetic functions through quantitative measurements of street trees remain unclear. To address this problem, we propose a method to assess the aesthetic functions of street trees by quantifying the shape of greenness inspired by assessments of skyline aesthetics. Using a state-of-the-art mobile mapping system, we collected downtown-wide lidar data and panoramic images in Jinzhou City, Hebei Province, China. We developed a method for extracting the canopy line from the mobile lidar data, and then identified two basic elements, peaks and gaps, from street canopy lines and extracted six indexes (i.e., richness of peaks, evenness of peaks, frequency of peaks, total length of gaps, evenness of gaps and frequency of gaps) to describe the fluctuations and continuities of street canopy lines. We analyzed the abundance and spatial distribution of these indexes together with survey responses on the streets' aesthetics and found that most of them were significantly correlated with human perception of streets. Compared to indexes of amount of greenness (e.g., green volume and green view index), these shape indexes have stronger influences on the physical aesthetic beauty of street trees. These findings suggest that a comprehensive assessment of the aesthetic function of street trees should consider both shape and amount of greenness. This study provides a new perspective for the assessment of urban green spaces and can assist future urban greening planning and urban landscape management.
关键词	Mobile mapping system Street tree Shape Aesthetical value Greenness
学科领域	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.1016/j.isprsjprs.2022.01.002
收录类别	SCI
语种	英语
WOS关键词	GREEN SPACE ; VISIBILITY ; FEASIBILITY ; EXTRACTION ; ATTITUDES ; SERVICES ; COVER
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED) ; Social Science Citation Index (SSCI)
WOS记录号	WOS:000781623800004
出版者	ELSEVIER
文献子类	Article
出版地	AMSTERDAM
EISSN	1872-8235
资助机构	National Natural Science Foundation of China [41901358, 41871332, 31971575]
作者邮箱	qinghua.guo@pku.edu.cn
引用统计	被引频次：28[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28538
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.North China Univ Water Resources & Elect Power, Coll Architecture, Zhengzhou 450045, Henan, Peoples R China 4.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China 5.Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
推荐引用方式 GB/T 7714	Hu, Tianyu,Wei, Dengjie,Su, Yanjun,et al. Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2022,184:203-214.
APA	Hu, Tianyu.,Wei, Dengjie.,Su, Yanjun.,Wang, Xudong.,Zhang, Jing.,...&Guo, Qinghua.(2022).Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,184,203-214.
MLA	Hu, Tianyu,et al."Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 184(2022):203-214.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Quantifying_the_shap（13276KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文