Estimating forest resources using airbone LiDAR-Estimating stand parameters of Sugi (Cryptomeria japonica D. Don) and Hinoki (Chamaecyparis obtusaEndl.) stands with differing densities
Estimating forest resources using airbone LiDAR-Estimating stand parameters of Sugi (Cryptomeria japonica D. Don) and Hinoki (Chamaecyparis obtusaEndl.) stands with differing densities
复制标题
利用机载激光雷达估算森林资源——估算不同密度的杉林和扁柏林的林分参数
DOI：
10.4287/jsprs.45.4
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
K. Naito
中科院分区：
文献类型：
--
作者：
K. Matsue;T. Itoh;K. Naito
这项研究的目的是评估利用小足迹激光探测和测距(LiDAR)数据估计林分重要参数的潜力。研究区域为日本柳杉(Cryptomeria Japan onicaD.)DON)和木兰Hinoki(Chamaecyparis obtusa Endl.)有不同密度的地块。我们使用散点图和回归分析来探索实地调查数据和LiDAR数据之间的关系。目标参数为主茎数、平均树高、平均胸径和平均主干体积。胸径由树冠表面积间接求取，材积由胸径间接求取。结果表明，各林分参数的决定系数为0.80~0.94，除Hinoki平均树高外，其余各林分参数间均有较高的相关性。而Hinoki平均树高的相对误差仅为0.22m。胸径和材积的Hinoki相对误差大于Sugi。我们假设这是由于DTM(数字地形模型)的精度降低，因为由于Hinoki树冠结构的干扰，最后一个脉冲没有到达地面。此外，由于其他原因，可能存在树冠表面积数据不准确的情况。
The purpose of this study was to assess the potential for estimating important parameters of forest stands with small footprint LiDAR (Light Detection and Ranging) data. The study area was a plantation of Sugi (Cryptomeria japonicaD. Don) and Hinoki (Chamaecyparis obtusa Endl.) with plots of differing densities. We explored the relationships between field survey data and LiDAR data using scatter plots and regression analysis. The targeted parameters were stem number, mean tree height, mean DBH (diameter at breast height) and mean stem volume. DBH was indirectly obtained from the tree crown surface area, and the timber volume was indirectly obtained from DBH. We confirmed that the coefficients of determination were 0.80-0.94 and there was a high correlation in stand parameters, except for Hinoki mean tree height. However, the relative error of Hinoki mean tree height was only 0.22m. Hinoki relative error of DBH and timber volume was greater than that of Sugi. We assume that this was due to a decrease in accuracy of DTM (Digital Terrain Model), as the Last-pulse did not reach the ground because of interference by Hinoki tree crown structure. In addition, it is possible that there are inaccuracies in the tree crown surface area data due to other reasons.
影响因子：
11.4
作者：
Omasa, K;Qiu, GY;Akiyama, Y
通讯作者：
Akiyama, Y