Sensitivity Analysis of Canopy Structural and Radiative Transfer Parameters to Reconstructed Maize Structures Based on Terrestrial LiDAR Data
Sensitivity Analysis of Canopy Structural and Radiative Transfer Parameters to Reconstructed Maize Structures Based on Terrestrial LiDAR Data
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基于地面激光雷达数据的冠层结构和辐射传输参数对重建玉米结构的敏感性分析
DOI：
10.3390/rs13183751
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发表时间：
2021-09
期刊：
影响因子：
5
通讯作者：
Li Juan
中科院分区：
文献类型：
--
作者：
Ali Bitam;Zhao Feng;Li Zhenjiang;Zhao Qichao;Gong Jiabei;Wang Lin;Tong Peng;Jiang Yanhong;Su Wei;Bao Yunfei;Li Juan
光探测和测距（LiDAR）传感器的成熟和可负担性使得快速获取3D点云数据以监测植被冠层的表型特征成为可能。然而，虽然大多数的研究集中在宏观尺度的植被参数的检索，有很少的研究解决明确的三维结构重建从陆地激光雷达数据和检索细尺度参数从这样的结构。从后面的研究中产生的一个具有挑战性的问题是需要大量的数据来表示实际冠层中的各种成分，这对于处理和进一步的应用来说可能是耗时和资源密集的。在这项研究中，我们提出了一个管道，重建的三角形基元组成的三维玉米结构的基础上，多视图地面激光雷达测量。然后，我们研究的敏感性的细节与冠层结构表示的叶角分布（LAD），叶面积指数（LAI），间隙分数，和定向反射因子（DRF）的计算。基于玉米田三个生长阶段的点云数据，重建出三角形数目最多的参考结构。为了在结构细节和为后续应用保留的准确性之间取得折衷，我们进行了一个简化的过程，以基于抽取率和Hausdorff距离获得多种细节配置。结果表明，LAD对结构的细节（或三角形的数量）不敏感。然而，LAI、间隙分数和DRF更敏感，并且需要相对高数量的三角形。建议每个叶子选择100 - 500个三角形，同时保持叶子的整体形状和较低的豪斯多夫距离，这是一个很好的折衷方案，可以代表树冠，并为各种参数的计算提供98%的整体准确度。
The maturity and affordability of light detection and ranging (LiDAR) sensors have made possible the quick acquisition of 3D point cloud data to monitor phenotypic traits of vegetation canopies. However, while the majority of studies focused on the retrieval of macro scale parameters of vegetation, there are few studies addressing the reconstruction of explicit 3D structures from terrestrial LiDAR data and the retrieval of fine scale parameters from such structures. A challenging problem that arises from the latter studies is the need for a large amount of data to represent the various components in the actual canopy, which can be time consuming and resource intensive for processing and for further applications. In this study, we present a pipeline to reconstruct the 3D maize structures composed of triangle primitives based on multi-view terrestrial LiDAR measurements. We then study the sensitivity of the details with which the canopy architecture was represented for the computation of leaf angle distribution (LAD), leaf area index (LAI), gap fraction, and directional reflectance factors (DRF). Based on point clouds of a maize field in three stages of growth, we reconstructed the reference structures, which have the maximum number of triangles. To get a compromise between the details of the structure and accuracy reserved for later applications, we carried out a simplified process to have multiple configurations of details based on the decimation rate and the Hausdorff distance. Results show that LAD is not highly sensitive to the details of the structure (or the number of triangles). However, LAI, gap fraction, and DRF are more sensitive, and require a relatively high number of triangles. A choice of 100−500 triangles per leaf while maintaining the overall shapes of the leaves and a low Hausdorff distance is suggested as a good compromise to represent the canopy and give an overall accuracy of 98% for the computation of the various parameters.
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影响因子：
13.5
作者：
J. Widlowski;Corrado Mio;M. Disney;Jennifer Adams;I. Andredakis;C. Atzberger;J. Brennan;L. Busetto;M. Chelle;Guido Ceccherini;Roberto Colombo;Jean-François Côté;A. Eenmäe;A. Eenmäe;R. Essery;J. Gastellu-Etchegorry;N. Gobron;E. Grau;V. Haverd;L. Homolová;Huaguo Huang;Linda Hunt;Hideki Kobayashi;B. Koetz;A. Kuusk;Joel Kuusk;Mait Lang;Mait Lang;Philip Lewis;Jennifer L. Lovell;Z. Malenovský;M. Meroni;F. Morsdorf;M. Mõttus;W. Ni-Meister;B. Pinty;M. Rautiainen;M. Schlerf;Ben Somers;J. Stuckens;M. Verstraete;Wenze Yang;Feng Zhao;T. Zenone
通讯作者：
J. Widlowski;Corrado Mio;M. Disney;Jennifer Adams;I. Andredakis;C. Atzberger;J. Brennan;L. Busetto;M. Chelle;Guido Ceccherini;Roberto Colombo;Jean-François Côté;A. Eenmäe;A. Eenmäe;R. Essery;J. Gastellu-Etchegorry;N. Gobron;E. Grau;V. Haverd;L. Homolová;Huaguo Huang;Linda Hunt;Hideki Kobayashi;B. Koetz;A. Kuusk;Joel Kuusk;Mait Lang;Mait Lang;Philip Lewis;Jennifer L. Lovell;Z. Malenovský;M. Meroni;F. Morsdorf;M. Mõttus;W. Ni-Meister;B. Pinty;M. Rautiainen;M. Schlerf;Ben Somers;J. Stuckens;M. Verstraete;Wenze Yang;Feng Zhao;T. Zenone
使用地面激光扫描仪的单扫描数据检索单棵树的间隙分数、元素聚集指数和叶面积指数
DOI：
10.1016/j.isprsjprs.2017.06.006
发表时间：
2017
影响因子：
12.7
作者：
Li Yumei;Guo Qinghua;Su Yanjun;Tao Shengli;Zhao Kaiguang;Xu Guangcai
通讯作者：
Xu Guangcai
影响因子：
7.3
作者：
Lagergren, F;Eklundh, L;Lindroth, A
通讯作者：
Lindroth, A
DOI：
10.3390/rs10101661
发表时间：
2018-10
期刊：
Remote. Sens.
影响因子：
--
作者：
N. Levashova;D. Lukyanenko;Yulia Mukhartova;A. Olchev
通讯作者：
N. Levashova;D. Lukyanenko;Yulia Mukhartova;A. Olchev
影响因子：
6.2
作者：
R. Myneni;J. Ross;G. Asrar
通讯作者：
R. Myneni;J. Ross;G. Asrar