Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data
文献类型：期刊论文
| 作者 | Hu, Tianyu3; Wei, Dengjie3; Su, Yanjun3; Wang, Xudong4; Zhang, Jing3; Sun, Xiliang3; Liu, Yu5; Guo, Qinghua1,5 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 184页码:203-214 |
| ISSN号 | 0924-2716 |
| 关键词 | Mobile mapping system Street tree Shape Aesthetical value Greenness |
| DOI | 10.1016/j.isprsjprs.2022.01.002 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 电子版国际标准刊号 | 1872-8235 |
| 出版地 | AMSTERDAM |
| 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) |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000781623800004 |
| 资助机构 | National Natural Science Foundation of China [41901358, 41871332, 31971575] |
| 源URL | [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.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China 2.Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.North China Univ Water Resources & Elect Power, Coll Architecture, Zhengzhou 450045, Henan, 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. |
入库方式： OAI收割
来源：植物研究所
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