A tractor-mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with conventional destructive measurements
A tractor-mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with conventional destructive measurements
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DOI：
10.1016/j.biosystemseng.2008.10.009
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发表时间：
2009-02-01
影响因子：
5.1
通讯作者：
Palacin, Jordi
中科院分区：
文献类型：
--
作者：
Polo, Joan Ramon Rosell;Sanz, Ricardo;Palacin, Jordi
使用低成本的拖拉机安装的扫描光探测和测距（激光雷达）系统能够在果园和葡萄园的树行结构的非破坏性记录。实地测试包括在选定树木落叶之前和之后对作物行两侧进行的几次激光雷达测量。使用适当的数值算法推导出了描述LIDAR观察到的树行体积和总作物表面积（表示为与地面表面积的比率）的摘要参数。苹果和梨果园和葡萄酒生产的葡萄园的结果被证明是在合理的协议来自破坏性的叶片取样方法的结果。此外，良好的相关性被发现之间的手动和基于传感器的测量树木行种植的植被体积。树面积指数参数TAI给出了作物叶面积的破坏性和非破坏性（即基于激光雷达的）决定因素之间的最佳相关性。激光雷达系统被证明是一种低成本、迅速和非破坏性地估计植物体积和叶面积特征的强大技术。(C)2008年IAgRE。由爱思唯尔有限公司出版。保留所有权利。
The use of a low-cost tractor-mounted scanning Light Detection and Ranging (LIDAR) system for capable of making non-destructive recordings of tree-row structure in orchards and vineyards is described. Field tests consisted of several LIDAR measurements on both sides of the crop row, before and after defoliation of selected trees. Summary parameters describing the tree-row volume and the total crop surface area viewed by the LIDAR (expressed as a ratio with ground surface area) were derived using a suitable numerical algorithm. The results for apple and pear orchards and a wine producing vineyard were shown to be in reasonable agreement with the results derived from a destructive leaf sampling method. Also, good correlation was found between manual and sensor-based measurements of the vegetative volume of tree-row plantations. The Tree Area Index parameter, TAI, gave the best correlation between destructive and non-destructive (i.e. LIDAR-based) determinants of crop leaf area. The LIDAR system proved to be a powerful technique for low cost, prompt and non-destructive estimates of the volume and leaf-area characteristics of plants. (C) 2008 IAgrE. Published by Elsevier Ltd. All rights reserved.