Detecting seasonal change of broad-leaved woody canopy leaf area density profile using 3D portable LIDAR imaging
Detecting seasonal change of broad-leaved woody canopy leaf area density profile using 3D portable LIDAR imaging
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DOI：
10.1071/fp09113
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发表时间：
2009-01-01
影响因子：
3
通讯作者：
Omasa, Kenji
中科院分区：
文献类型：
--
作者：
Hosoi, Fumiki;Omasa, Kenji
利用三维便携式扫描光测距(LIDAR)成像技术，研究了木本冠层阔叶树(Zelkova serrata[Thunberg]Makino)垂直叶面积密度(LAD)分布的季节变化。首先，使用便携式激光雷达采集了春季、夏季、秋季和冬季的树冠三维点云数据。为了收集数据，激光雷达从离地面10米的三个位置均匀地扫描了树冠。然后，使用基于体素的冠层剖面(VCP)方法从激光雷达数据计算每个季节的垂直LAD廓线。在计算过程中，使用冬季获得的激光雷达数据消除了非光合作用组织。利用高分辨率便携式激光雷达测量的叶片倾角数据，对叶片倾角对LAD估测的影响进行了修正。结果表明，春季至夏季冠层上部LAD值呈增加趋势，夏季至秋季冠层中下部LAD值呈下降趋势。此外，还比较了不同季节激光雷达获取的LIA分布。LIA在春季呈均匀分布，夏季则转为嗜食性分布。在秋天，天空中的角度
Seasonal change of vertical leaf area density (LAD) profiles of woody canopy broad-leaved trees (Zelkova serrata [Thunberg] Makino) was estimated using 3D portable scanning light detection and ranging (LIDAR) imaging. First, 3D point cloud data for the canopy were collected using a portable LIDAR in spring, summer, autumn and winter. For data collection, the canopy was evenly scanned by the LIDAR from three positions 10m above the ground. Next, the vertical LAD profile in each season was computed from the LIDAR data using the voxel-based canopy profiling (VCP) method. For the computation, non-photosynthetic tissues were eliminated using the LIDAR data obtained during winter. Influence of leaf inclination angle (LIA) on LAD estimation was corrected by LIA data measured by a high-resolution portable scanning LIDAR. The resultant profiles showed that LAD values tended to increase at the upper canopy from spring to summer and decrease at the middle and lower canopy from summer to autumn. Moreover, LIDAR-derived LIA distributions were compared among different seasons. LIA showed an even distribution in spring but changed to a planophile distribution in summer. In autumn, the angles in the