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

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.