基于LiDAR点云的景观空间“绿视率”量化分析方法研究  

Research on the Quantitative Analysis Method of"Green Viewing Ratio"of Landscape Spatial Form Based on Three-dimensional LiDAR Point Cloud Data

作　　者：成实[1] 张冠亭 张潇涵 刘奕秋 CHENG Shi;ZHANG Guanting;ZHANG Xiaohan;LIU Yiqiu

机构地区：[1]东南大学城乡规划流动站,南京210018 [2]南京工业大学建筑学院,南京211816 [3]东南大学建筑学院,南京210096 [4]瑞士苏黎世联邦理工学院建筑学院,苏黎世8046

出　　处：《中国园林》2022年第2期12-19,共8页Chinese Landscape Architecture

基　　金：国家自然科学基金青年科学基金项目(编号52108045);国家自然科学基金面上项目资助(编号52078112)共同资助;中国博士后科学基金资助项目(编号2021M700767);江苏省博士后科研资助计划A类项目(编号2021K024A);中央高校基本科研业务费专项资金项目(编号2242021R20016)。

摘　　要：LiDAR点云在景观空间定量研究中具有重要作用,而目前对其运用多局限于景观空间的信息采集,为探讨如何基于LiDAR点云数据展开景观空间的相关形态量化分析,选取了过往研究中多局限于二维图像分析的"绿视率"指标进行具体分析讨论,将其量化分析方法归为空间数据采集、处理、建模、分析4个主要环节。以南京河西某住区绿地为研究案例,选取其中4处具有典型差异的空间节点对基于LiDAR点云数据的"绿视率"分析方法加以运用,发现该方法具有"分析高效性""数据全面性""结果准确性"3个方面的突出优势及运用价值,对后续风景园林领域研究与实践的高质量、精细化发展具有积极作用。LiDAR point cloud is usually used for spatial information collection,but it also plays an essential role in the quantitative research of landscape space.In this paper,the Green Viewing Ratio(GVR)index,often calculated by 2-dimension images in previous studies,is selected for LiDAR point cloud-based analysis and comparison with traditional methods.This paper develops a quantitative method for calculating GVR by using the LiDAR point cloud,which contains four main steps:spatial data collection,processing,modeling,and analysis.And the proposed method is performed on four typical spatial spots in a residential green space within Hexi District,Nanjing.The result shows that the proposed method has outstanding advantages and application values in three aspects:efficiency,comprehensiveness and accuracy.Besides,this paper also reveals that the proposed method has potential benefits for high-quality and refined development in future landscape research and practice.

关 键 词：风景园林 三维点云数据 绿视率 空间量化 分析方法 

分 类 号：TU986[建筑科学—城市规划与设计]