Analysis of Taper Functions for Larix olgensis Using Mixed Models and TLS

Analysis of Taper Functions for Larix olgensis Using Mixed Models and TLS
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使用混合模型和 TLS 分析长白落叶松锥度函数

DOI:
10.3390/f12020196
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发表时间:
2021-02
期刊:
影响因子:
2.9
通讯作者:
Wang Fan
Wang Fan
中科院分区:
农林科学2区
文献类型:
--
作者:
Li D;an;Jia Weiwei;Guo Haotian;Wang Fan

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地面激光扫描技术在森林资源调查、森林参数反演、树木三维模型重建等方面具有重要意义。TLS能够准确、快速、无损地获取立木的三维结构信息。利用TLS数据而不是砍伐木数据构建了基于树效应的削度函数混合模型,并对TLS数据提取和模型预测效果进行了评价,以推导出树干直径和蓄积量。对9个样地的580株落叶松进行了TLS分析,并对孟家岗的30株落叶松进行了树干解析。首先,从TLS数据分析股骨柄分析的不同高度处的直径精度。然后,利用树干解析数据和TLS数据建立树干削度函数,选择最优的基本模型,确定基于树效应的混合模型。拟合了6个基本模型,并通过各种统计指标对锥度方程进行了综合评价。最后,利用小区的最优混合模型推算出树干直径和树干体积。TLS获得的股骨柄直径准确度> 98%。这些数据的锥度函数拟合结果大致相同,最佳基本模型为Kozak(2002)-II。对于树体效应,以a6和a9作为混合参数,混合模型拟合效果最好,最优混合模型的预测精度达到99.72%,混合模型对树径的预测精度在74.22%~ 97.68%,蓄积量的预测精度为96.38%。相对高度70(RH 70)是提取的最佳高度,混合模型的拟合精度高于基本模型。
Terrestrial laser scanning (TLS) plays a significant role in forest resource investigation, forest parameter inversion and tree 3D model reconstruction. TLS can accurately, quickly and nondestructively obtain 3D structural information of standing trees. TLS data, rather than felled wood data, were used to construct a mixed model of the taper function based on the tree effect, and the TLS data extraction and model prediction effects were evaluated to derive the stem diameter and volume. TLS was applied to a total of 580 trees in the nine larch (Larix olgensis) forest plots, and another 30 were applied to a stem analysis in Mengjiagang. First, the diameter accuracies at different heights of the stem analysis were analyzed from the TLS data. Then, the stem analysis data and TLS data were used to establish the stem taper function and select the optimal basic model to determine a mixed model based on the tree effect. Six basic models were fitted, and the taper equation was comprehensively evaluated by various statistical metrics. Finally, the optimal mixed model of the plot was used to derive stem diameters and trunk volumes. The stem diameter accuracy obtained by TLS was >98%. The taper function fitting results of these data were approximately the same, and the optimal basic model was Kozak (2002)-II. For the tree effect, a 6 and a 9 were used as the mixed parameters, the mixed model showed the best fit, and the accuracy of the optimal mixed model reached 99.72%.The mixed model accuracy for predicting the tree diameter was between 74.22% and 97.68%, with a volume estimation accuracy of 96.38%. Relative height 70 (RH70) was the optimum height for extraction, and the fitting accuracy of the mixed model was higher than that of the basic model.
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