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Estimating the heights and diameters at breast height of trees in an urban park and along a street using mobile LiDAR
Landscape and Ecological Engineering ( IF 2 ) Pub Date : 2019-04-10 , DOI: 10.1007/s11355-019-00379-6
Han Kyul Heo , Dong Kun Lee , Jin Han Park , James H. Thorne

Because trees can positively influence local environments in urban ecosystems, it is important to measure their morphological characteristics, such as height and diameter at breast height (DBH). However, measuring these data for each individual tree is a time-consuming process that requires a great deal of manpower. In this study, we investigated the feasibility of using mobile LiDAR to estimate tree height and DBH along urban streets and in urban parks. We compared measurements from a mobile LiDAR unit with field measurements of tree height and DBH in urban parks and streets. The height-above-ground and Pratt circle fit methods were applied to calculate tree height and DBH, respectively. The LiDAR-estimated tree heights were highly accurate albeit slightly underestimated, with a root mean square error of 0.359 m for the street trees and 0.462 m for the park trees. On the other hand, the estimated DBHs were moderately accurate and overestimated, with a root mean square error of 3.77 cm for the street trees and 8.95 cm for the park trees. Densely planted trees in the park and obstacles in urban areas result in “shadows” (areas with no data), reducing accuracy. Irregular trunk shapes and scanned data that did not include full data point coverage of every trunk were the reasons for the errors. Despite these errors, this study highlights the potential of tree measurements obtained with mobile terrestrial LiDAR platforms to be scaled up from point-based locations to neighborhood-scale and city-scale inventories.

中文翻译:

使用移动LiDAR估算城市公园和沿街道树木的胸高的高度和直径

由于树木可以对城市生态系统的局部环境产生积极影响,因此测量树木的形态特征(如身高和胸高(DBH))很重要。但是,为每棵树测量这些数据是一个耗时的过程,需要大量的人力。在这项研究中,我们调查了使用移动LiDAR估算沿城市街道和城市公园的树高和DBH的可行性。我们将移动式LiDAR装置的测量结果与城市公园和街道中树木高度和DBH的现场测量结果进行了比较。地上高度和Pratt圆拟合方法分别用于计算树高和DBH。LiDAR估计的树高是高度准确的,尽管被低估了一点,街树的均方根误差为0.359 m,0。公园树木462 m。另一方面,估计的DBH适度准确且被高估了,街树的均方根误差为3.77 cm,公园树的均方根误差为8.95 cm。公园里茂密的树木和城市地区的障碍物造成了“阴影”(没有数据的区域),降低了准确性。错误的原因是不规则的行李箱形状和未包括每个行李箱的完整数据点覆盖范围的扫描数据。尽管存在这些错误,本研究还是强调了将移动地面LiDAR平台获得的树木测量结果从基于点的位置扩展到邻里规模和城市规模清单的潜力。公园树木95厘米。公园里茂密的树木和城市地区的障碍物造成了“阴影”(没有数据的区域),降低了准确性。错误的原因是不规则的行李箱形状和未包括每个行李箱的完整数据点覆盖范围的扫描数据。尽管存在这些错误,本研究还是强调了将移动地面LiDAR平台获得的树木测量结果从基于点的位置扩展到邻里规模和城市规模清单的潜力。公园树木95厘米。公园里茂密的树木和城市地区的障碍物造成了“阴影”(没有数据的区域),降低了准确性。错误的原因是不规则的行李箱形状和未包括每个行李箱的完整数据点覆盖范围的扫描数据。尽管存在这些错误,本研究还是强调了将移动地面LiDAR平台获得的树木测量结果从基于点的位置扩展到邻里规模和城市规模清单的潜力。
更新日期:2019-04-10
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