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Individual tree biomass estimation using terrestrial laser scanning

机译:利用陆地激光扫描估算单木生物量

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Determination of stem and crown biomass requires accurate measurements of individual tree stem, bark, branch and needles. These measurements are time-consuming especially for mature trees. Accurate field measurements can be done only in a destructive manner. Terrestrial laser scanning (TLS) measurements are a viable option for measuring the reference information needed. TLS measurements provide dense point clouds in which features describing biomass can be extracted for stem form and canopy dimensions. Existing biomass models do not utilise canopy size information and therefore TLS-based estimation methods should improve the accuracy of biomass estimation. The main objective of this study was to estimate single-tree-level aboveground biomass (AGB), based on models developed using TLS data. The modelling dataset included 64 laboratory-measured trees. Models were developed for total AGB, tree stem-, living branch- and dead branch biomass. Modelling results were also compared with existing individual tree-level biomass models and showed that AGB estimation accuracies were improved, compared with those of existing models. However, current biomass models based on diameter-at-breast height (DBH), tree height and species worked rather well for stem- and total biomass. TLS-based models improved estimation accuracies, especially estimation of branch biomass. We suggest the use of stem curve and crown size geometric measurements from TLS data as a basis for allometric biomass models rather than statistical three-dimensional point metrics, since TLS statistical metrics are dependent on various scanning parameters and tree neighbourhood characteristics.
机译:确定茎和冠生物量需要精确测量单个树的茎,树皮,树枝和针叶。这些测量非常耗时,特别是对于成熟的树木。只能以破坏性的方式进行准确的现场测量。地面激光扫描(TLS)测量是测量所需参考信息的可行选择。 TLS测量提供了密集的点云,其中可以提取描述生物量的特征以获取茎的形态和冠层尺寸。现有的生物量模型不利用冠层大小信息,因此基于TLS的估算方法应提高生物量估算的准确性。这项研究的主要目的是基于使用TLS数据开发的模型来估计单树级地上生物量(AGB)。建模数据集包括64个实验室测量的树木。开发了总AGB,树茎,活枝和死枝生物量的模型。建模结果也与现有的单个树级生物量模型进行了比较,结果表明与现有模型相比,AGB估算精度有所提高。然而,当前基于生物量直径(DBH),树高和树种的生物量模型对于茎和总生物量效果很好。基于TLS的模型提高了估计精度,尤其是分支生物量的估计。我们建议使用TLS数据中的茎曲线和树冠尺寸几何测量值作为异形生物量模型的基础,而不是统计三维点度量标准,因为TLS统计度量标准取决于各种扫描参数和树木邻域特征。

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