首页> 外文期刊>Annals of Botany >Exploring trees in three dimensions: VoxR, a novel voxel-based R package dedicated to analysing the complex arrangement of tree crowns
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Exploring trees in three dimensions: VoxR, a novel voxel-based R package dedicated to analysing the complex arrangement of tree crowns

机译:探索树木三维:VOXR,一种基于voxel的基于Voxel的R包,专门用于分析树冠的复杂排列

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摘要

Interest in tree form assessments using the terrestrial laser scanner (TLS) has increased in recent years. Yet many existing methods are limited to small-sized trees, principally due to noise and occlusion phenomena. In this paper, a novel voxel-based program that is dedicated to the analyses of large tree structures is presented. The method is based on the assumption that architectural trait variations (i.e. branching angle, bifurcation ratio, biomass allocation, etc.) influence the way a tree explores space. This method uses the concept of space exploration that considers a voxel as a portion of space explored by the tree. Once the TLS scene is voxelized, the program provides tools that extract qualitative (geometrical) and quantitative (volumetric) metrics. These tools measure (1) voxel dispersion in three dimensions (3-D), (2) projections of the voxel cloud in 2-D and (3) multi-temporal changes within a single tree crown.
机译:近年来,使用地球激光扫描仪(TLS)对树形评估的兴趣增加。 然而,许多现有方法仅限于小尺寸的树木,主要是由于噪音和遮挡现象。 本文提出了一种专用于大树结构分析的新型体素的程序。 该方法基于架构性状变化(即分支角度,分叉比,生物质分配等)影响树探索空间的方式。 此方法使用空间探索的概念,将体素视为树探索的空间部分。 一旦TLS场景被吸引,该程序提供了提取定性(几何)和定量(体积)度量的工具。 这些工具测量(1)体素分散在三维(3-D)中,(2)葡萄素云在2-D中的凸起和(3)在单树冠内的多时间变化。

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