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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

机译:拖拉机安装式扫描激光雷达,用于无损测量树木种植园的营养体积和表面积:与传统破坏性测量的比较

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摘要

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.
机译:描述了一种低成本的拖拉机安装式扫描光检测和测距(LIDAR)系统的使用,该系统能够对果园和葡萄园中的树行结构进行无损记录。田间试验包括在选定树木脱叶之前和之后在作物行的两侧进行几次LIDAR测量。使用合适的数值算法得出描述LIDAR观察到的树行体积和农作物总表面积的概要参数(表示为与地面表面积的比率)。苹果,梨果园和酿酒葡萄园的结果与破坏性叶片采样方法得出的结果显示出合理的一致性。同样,在人工和基于传感器的树行人工林营养量测量之间发现了良好的相关性。树木面积指数参数TAI给出了作物叶片面积的破坏性和非破坏性(即基于LIDAR的)决定因素之间的最佳相关性。事实证明,激光雷达系统是一项功能强大的技术,可低成本,快速且无损地估计植物的体积和叶面积特征。

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