Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
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DOI：
10.1016/j.agrformet.2009.04.008
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发表时间：
2009-09-01
影响因子：
6.2
通讯作者：
Palacin, Jordi
中科院分区：
文献类型：
--
作者：
Rosell, Joan R.;Llorens, Jordi;Palacin, Jordi
近年来，激光雷达（LIDAR，光探测与测距）传感器被广泛用于测量树木、作物和森林的结构特征等环境参数。植物的结构特征影响着光合作用、生长、co2固存和蒸散等多种生物物理过程，在植物与大气之间的物质和能量交换中起着关键作用，影响着陆地和地上的碳储存，因此了解植物的结构特征具有很高的科学价值。在这项工作中，我们报告了在农业中使用二维激光雷达扫描仪来获得植物的三维（3D）结构特征。激光雷达可以快速、无损地测量植被的三维结构（几何形状、大小、高度、横截面等）。激光雷达提供了一个三维点云，它很容易用计算机辅助设计软件可视化。三维、高密度的数据对于植物几何参数的定性和定量研究具有独特的价值。结果在水果和柑橘果园和葡萄园中得到了证明，从而得出结论，激光雷达系统能够以足够的精度测量植物的几何特征，适用于大多数农业应用。该系统实现了作物三维数字化图像的获取，可获得大量的植物信息，如植物的高度、宽度、体积、叶面积指数、叶面积密度等。三维数字植物结构的物理尺寸、形状和整体外观与真实植物之间有很大程度的一致性，揭示了开发系统获得的三维树模型相对于真实结构的一致性。对于部分选定的树木，人工测量的体积与3D LIDAR模型测量的体积之间的相关系数高达0.976。(C) 2009 Elsevier B.V.版权所有
In recent years, LIDAR (light detection and ranging) sensors have been widely used to measure environmental parameters such as the structural characteristics of trees, crops and forests. Knowledge of the structural characteristics of plants has a high scientific value due to their influence in many biophysical processes including, photosynthesis, growth, CO2-sequestration and evapotranspiration, playing a key role in the exchange of matter and energy between plants and the atmosphere, and affecting terrestrial, above-ground, carbon storage. In this work, we report the use of a 2D LIDAR scanner in agriculture to obtain three-dimensional (3D) structural characteristics of plants. LIDAR allows fast, non-destructive measurement of the 3D structure of vegetation (geometry, size, height, cross-section, etc.). LIDAR provides a 3D cloud of points, which is easily visualized with Computer Aided Design software. Three-dimensional, high density data are uniquely valuable for the qualitative and quantitative study of the geometric parameters of plants. Results are demonstrated in fruit and citrus orchards and vineyards, leading to the conclusion that the LIDAR system is able to measure the geometric characteristics of plants with sufficient precision for most agriculture applications. The developed system made it possible to obtain 3D digitalized images of crops, from which a large amount of plant information - such as height, width, volume, leaf area index and leaf area density - could be obtained. There was a great degree of concordance between the physical dimensions, shape and global appearance of the 3D digital plant structure and the real plants, revealing the coherence of the 3D tree model obtained from the developed system with respect to the real structure. For some selected trees, the correlation coefficient obtained between manually measured volumes and those obtained from the 3D LIDAR models was as high as 0.976. (C) 2009 Elsevier B.V. All rights reserved.