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基于激光雷达技术的郑州市行道树空间围合度研究
引用本文:王 霄,李 垚,张旭光,卢伟娜,王旭东.基于激光雷达技术的郑州市行道树空间围合度研究[J].林业调查规划,2023,48(1):158-164.
作者姓名:王 霄  李 垚  张旭光  卢伟娜  王旭东
作者单位:河南农业大学风景园林规划设计院,河南 郑州 450000;华北水利水电大学,河南 郑州 450000
基金项目:华北水利水电大学高层次人才科研启动项目(201629).
摘    要:行道树作为城市道路空间的重要组成部分,对于提升城市道路品质和改善道路空间宜人度发挥着重要作用。选取郑州市作为研究区域,基于激光雷达技术,对道路及行道树样本进行定量化调查分析,利用宽高比、树冠占有率以及天空视图3个指标对行道树空间围合度进行研究。结果表明,样本行道树的平均宽高比为3.21,平均树冠占有率为30.83%,平均天空视图数值为0.43。其中,影响空间围合度的因素主要有道路宽度、道路等级、道路板式。研究结果将为城市行道树空间结构的优化及调控提供科学依据。

关 键 词:围合度  激光雷达  城市道路  行道树  宽高比  树冠占有率  天空视图

Spatial Enclosure Degree of Street Trees in Zhengzhou Based on LiDAR Technology
Abstract:As an important part of urban road space, street trees play an important role in improving urban road quality and road space amenity. This paper selected Zhengzhou City as the research area, carried out the quantitative investigation and analysis of the road and street tree samples based on LiDAR technology, and studied the spatial enclosure of the street trees by using the three indicators of aspect ratio, crown ratio and sky view. The results showed that the average aspect ratio of the sample street trees was 3.21, the average crown ratio was 30.83%, and the average sky view was 0.43. The main factors affecting road aspect ratio were road width, road grade and road slab. The research results provided scientific basis for the optimization and regulation of the spatial structure of urban street trees.
Keywords:enclosure  LiDAR  urban road  street tree  aspect ratio  crown ratio  sky view
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