Scientia Silvae Sinicae ›› 2023, Vol. 59 ›› Issue (8): 12-21.doi: 10.11707/j.1001-7488.LYKX20210955
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Xiaohui Yang1,Jinzhuo Wu2,Haoran Liu1,Hao Zhong1,Wenshu Lin1,*
Received:
2021-12-28
Online:
2023-08-25
Published:
2023-10-16
Contact:
Wenshu Lin
CLC Number:
Xiaohui Yang,Jinzhuo Wu,Haoran Liu,Hao Zhong,Wenshu Lin. Estimation on Canopy Closure for Plantation Forests Based on UAV-LiDAR[J]. Scientia Silvae Sinicae, 2023, 59(8): 12-21.
Table 1
Basic information of five kinds of plantation in the sample plots"
森林类型 Forest type | 林龄 Age/a | 平均树高 Average height/m | 平均胸径 Average DBH/cm | 林分密度 Stand density/(tree·hm?2) | 蓄积量 Volume/(m3·hm?2) |
白桦Betula platyphylla | 61 | 19.1 | 18.1 | 986 | 82.9 |
蒙古栎Quercus mongolica | 60 | 14.7 | 17.2 | 2 690 | 181.0 |
兴安落叶松Larix gmelinii | 62 | 18.0 | 19.8 | 1 120 | 160.8 |
樟子松Pinus sylvestris var. mongolica | 64 | 17.8 | 22.1 | 1 140 | 195.6 |
黑皮油松Pinus tabuliformis | 69 | 17.6 | 20.6 | 954 | 146.2 |
Table 2
Measured value of canopy closure of each quadrate"
样方编号 Sample plot No. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
针叶林 Coniferous forest | 0.86 | 0.86 | 0.84 | 0.84 | 0.86 | 0.86 | 0.86 | 0.86 | 0.84 | 0.86 |
阔叶林 Broad-leaved forest | 0.84 | 0.84 | 0.86 | 0.84 | 0.84 | 0.85 | 0.85 | 0.85 | 0.84 | 0.84 |
样方编号 Sample plot No. | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
针叶林 Coniferous forest | 0.84 | 0.84 | 0.86 | 0.84 | 0.84 | 0.85 | 0.85 | 0.85 | 0.84 | 0.84 |
阔叶林 Broad-leaved forest | 0.83 | 0.83 | 0.83 | 0.84 | 0.84 | 0.82 | 0.81 | 0.83 | 0.84 | 0.84 |
Table 3
LiDAR characteristic variables and descriptions"
特征变量 Characteristic variable | 变量描述 Variable description |
elev_asd | 归一化点云平均绝对偏差:总差异与给定点之间的总差值 Mean absolute deviation of normalized point cloud:the difference between the total difference and given points |
elev_AIH_25th | 归一化点云累计高程百分数的25分位数 The 25th quantile of normalized point cloud cumulative elevation percentage |
elev_aihInterDis | 归一化累计高程四分位数间距 Normalized cumulative elevation interquartile spacing |
elev_cv | 首次回波归一化点云变异系数 Coefficient of variation of first echo normalized point cloud |
elev_interDis | 归一化四分位数间距 Normalized interquartile spacing |
elev_mad | 归一化绝对偏差中值 Median value of normalized absolute deviation |
elev_mean | 归一化平均值 Normalized mean |
elev_median | 归一化中值 Normalized median |
elev_std | 归一化标准差 Normalized standard deviation |
elev_crr | 归一化冠层起伏比率 Normalized canopy fluctuation ratio |
int_asd | 首次回波平均绝对偏差 Mean absolute deviation of first echo |
int_cv | 首次回波归一化点云强度的变异系数 Variation coefficient of normalized point cloud intensity of first echo |
int_interDis | 首次回波四分位数间距 Interquartile interval of first echo |
int_mad | 首次回波绝对偏差中值 Median absolute deviation of first echo |
int_mean | 首次回波平均值 Mean of first echo |
int_median | 首次回波中值 Median of first echo |
int_std | 首次回波标准差 Standard deviation of first echo |
int_percentile_25th | 首次回波强度百分数 First echo intensity percentage |
int_AII_25th | 首次回波累计强度百分数 Cumulative intensity percentage of first echo |
int_Skewness/kurtosis | 首次回波所有激光雷达点强度分布的偏度/峭度 Skewness/kurtosis of intensity distribution of all LiDAR points in the first echo |
Open/closed | 在冠层容积模型中无体元区域的上层/下层 In the canopy volume model, the upper/lower layer of the region without voxel of free region |
Euphotic/oligophotic | 在冠层容积模型中有体元区域的上65%区域和下35%区域的比值 The ratio of upper 65% and lower 35% of voxel regions in the canopy volume model |
elev_density_30th、elev_density_60th | 冠层密度参数 Canopy closure parameters |
Hskewness/Hkurtosis | 冠层首次回波的偏度/峭度 Skewness/kurtosis of canopy first echo point |
CC2m | 首次回波中高于2 m的激光返回点占所有返回点的比例 The first return points above 2 m accounts for the percentage of all return points |
Fig.7
Measurement and estimation of forest canopy closure The red dots represent the known points of canopy closure for modeling. The 10 white points to be verified are evenly distributed in 6 rectangular plots with ground measured canopy closure data. The canopy closure points predicted by the regression equations are expressed as white triangles."
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