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Relationship between tree row LIDAR-volume and leaf area density for fruit orchards and vineyards obtained with a LIDAR 3D Dynamic Measurement System

机译:用LIDAR 3D动态测量系统获得的果园和葡萄园的树行LIDAR体积与叶面积密度之间的关系

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In this work, a LIDAR 3D Dynamic Measurement System, based on a Two-Dimensional Terrestrial Laser-LIDAR Scanner (2D TLS), was used for the geometric characterisation of tree-row crops (apple trees, pear trees and vineyards). The trees were scanned with the LIDAR system from opposite sides to obtain two three-dimensional point clouds. The point clouds were registered and the volume occupied by the resulting point cloud, tree row LIDAR-volume (TRLV), was graphically and numerically obtained. The study undertaken in this paper is based on the hypothesis that there may exist a non-linear relationship between the TRLV and the leaf area density (LAD). The main objective is to examine the relationship between TRLV and LAD in vineyards, apple and pear orchards. The study of 35 blocks of vegetation reveals a good logarithmic fit, y = -0.36 ln(x) + 3.69 with R-2 = 0.87, between the TRLV (x) in dm(3) and the LAD (y) in dm(-1). It would appear that the TRLV of the crops under study (planted in a hedgerow-type configuration) is in itself an explanation of the LAD. The competition for light between the leaves and the space that these leaves occupy appear to follow a similar model in the three crops. According to the results of this study, the LAD can be estimated from the TRLV. If the LAD is multiplied by the TRLV, the leaf area of the vegetation under study can be obtained. It is therefore concluded that by using the information provided by the LIDAR 3D Dynamic Measurement System, a good estimation can be obtained of the leaf area in hedgerow fruit tree crops and hedgerow vineyards
机译:在这项工作中,基于二维陆地激光-LIDAR扫描仪(2D TLS)的LIDAR 3D动态测量系统被用于对树行作物(苹果树,梨树和葡萄园)进行几何表征。用激光雷达系统从相对的侧面扫描树木,以获得两个三维点云。记录点云,并以图形和数值方式获得所得到的点云所占据的体积,树行LIDAR体积(TRLV)。本文进行的研究基于这样的假设,即TRLV与叶面积密度(LAD)之间可能存在非线性关系。主要目的是研究葡萄园,苹果和梨园中TRLV和LAD之间的关系。对35个植被块的研究表明,在dm(3)中的TRLV(x)和dm(3)中的LAD(y)之间,y = -0.36 ln(x)+ 3.69(R-2 = 0.87)有很好的对数拟合。 -1)。看来,正在研究的农作物(以树篱型配置种植)的TRLV本身就是对LAD的解释。叶子和叶子所占据的空间之间的光竞争似乎遵循三种作物的相似模型。根据这项研究的结果,可以从TRLV估算LAD。如果将LAD乘以TRLV,则可以获得所研究植被的叶面积。因此,可以得出结论,通过使用LIDAR 3D动态测量系统提供的信息,可以对树篱果树作物和树篱葡萄园的叶子面积获得良好的估计。

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