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Testing the accuracy of imaging software for measuring tree root volumes

机译:测试用于测量树根体积的成像软件的准确性

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Manually measuring tree root characteristics can be inefficient and limiting. To test the application of a new digital technology in tree root architecture research, root systems from 29 green ash (Fraxinus pennsylvanica 'Patmore') trees were unearthed, cleaned, and photographed to create 3D models using structure from motion (SfM) photogrammetry. Three root segments from each root system were selected, marked, and removed after being photographed. The volumes of these segments (derived from the 3D models) were compared against volumes measured using water displacement. In addition to the root segments, model and water displacement volumes were compared for three complete root systems. Regression analysis showed a strong linear relation between the two volumes measurements (adjusted R-2 = 0.97 for the root segment data). The RMSE for the root segment volume estimates was 40.37 cm(3) (12.3%), with a bias of 17.2 cm(3) (5.3%). This error rate was similar to previous published work and suggests the technology used may allow researchers to improve efficiency in data capture, add new measurements (i.e., surface area) to their modeling efforts, and digitally preserve tree root systems for future study. (C) 2016 Elsevier GmbH. All rights reserved.
机译:手动测量树的根特征可能是效率低下和局限性的。为了测试一种新的数字技术在树根结构研究中的应用,使用运动(SfM)摄影测量的结构,对29棵绿灰(Fraxinus pennsylvanica'Patmore')树的根系进行了挖掘,清洁和拍照,以创建3D模型。在拍照后,从每个根系统中选择,标记和删除三个根段。将这些片段的体积(源自3D模型)与使用水驱替测量的体积进行比较。除了根段,还比较了三个完整根系的模型和水驱替量。回归分析显示两个体积测量值之间具有很强的线性关系(对于根段数据,调整后的R-2 = 0.97)。根段体积估计的RMSE为40.37 cm(3)(12.3%),偏差为17.2 cm(3)(5.3%)。该错误率与之前发表的工作相似,表明所使用的技术可以使研究人员提高数据捕获效率,为建模工作增加新的测量值(即表面积),并以数字方式保存树根系统以供将来研究。 (C)2016 Elsevier GmbH。版权所有。

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