Scientia Silvae Sinicae ›› 2021, Vol. 57 ›› Issue (1): 85-94.doi: 10.11707/j.1001-7488.20210109
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Langning Huo,Xiaoli Zhang*
Received:
2019-03-01
Online:
2021-01-25
Published:
2021-03-10
Contact:
Xiaoli Zhang
CLC Number:
Langning Huo,Xiaoli Zhang. Individual Tree Information Extraction and Accuracy Evaluation Based on Airborne LiDAR Point Cloud by Multilayer Clustering Method[J]. Scientia Silvae Sinicae, 2021, 57(1): 85-94.
Table 1
The stand information of the super plot"
树高 最大值 Maximum height/m | 树高 最小值 Minimum height/m | 树高 均值 Mean height/m | 冠幅加权 平均树高 Average height weighted by crown diameter/m | 冠幅 最大值 Maximum crown diameter/m | 冠幅 最小值 Minimum crown diameter/m | 冠幅 均值 Mean crown diameter/m |
33.80 | 2.00 | 9.29 | 10.92 | 9.05 | 0.50 | 3.22 |
郁闭度 Canopy closure | 株数密度 Stem density/ hm-2 | 树高基尼指数 Gini coefficient | 树高变异系数 Coefficient of variation | 聚集指数 Aggregation index | 最邻近体间平均距离 Mean distance between the nearest neighbors/m | |
0.70 | 1 435 | 0.35 | 55.20 | 0.99 | 1.31 |
Table 2
The parameters and their abbreviation used in this paper"
参数名称 Parameter name | LiDAR提取木 Test trees from LiDAR data | 实际对照木 Reference trees | 精度 Accuracy |
单木树高Individual tree height | h_test | h_ref | A_h |
单木冠幅Individual tree crown diameter | c_test | c_ref | A_c |
林分平均高(冠幅加权平均树高) Mean height of the stands (average height weighted by crown diameter) | H_test | H_ref | A_H |
林木数量Number of trees | N_test | N_ref | N_match |
树高基尼指数Gini coefficient | Gc_test | Gc_ref | A_Gc |
树高变异系数Coefficient of variation | Cv_test | Cv_ref | A_Cv |
最邻近体间平均距离 Mean distance between the nearest neighbors | r_test | r_ref | A_r |
聚集指数Aggregation index | R_test | R_ref | A_R |
树高分布均方根误差RMSE of tree height | RMSE_H | ||
冠幅分布均方根误差RMSE of crown diameter | RMSE_C |
Table 3
Effect of slice number setting on clustering effect and accuracy"
分层数 Number of slices | A_k(%) | 单木信息精度 Accuracy of individual tree information | 林分结构信息精度 Accuracy of forest structure information | ||||||
A_h(%) | A_c(%) | A_H(%) | RMSE_H | RMSE_C | A_Gc(%) | A_Cv(%) | |||
3 | 82.61 | 91.85 | 68.51 | 91.73 | 66.88 | 139.26 | 64.93 | 65.38 | |
4 | 84.86 | 92.38 | 66.13 | 93.40 | 59.68 | 132.73 | 74.94 | 75.04 | |
5 | 86.24 | 91.80 | 64.52 | 95.60 | 48.04 | 128.54 | 77.45 | 77.31 | |
6 | 87.35 | 91.73 | 63.10 | 97.31 | 46.17 | 126.33 | 80.45 | 80.25 | |
7 | 87.69 | 91.05 | 63.02 | 98.29 | 39.93 | 121.44 | 83.05 | 82.72 | |
8 | 87.80 | 91.30 | 61.12 | 99.18 | 43.85 | 119.26 | 86.45 | 86.11 | |
9 | 88.28 | 91.12 | 62.27 | 99.84 | 33.94 | 114.75 | 87.15 | 86.56 | |
10 | 88.70 | 90.99 | 61.56 | 99.37 | 29.53 | 111.68 | 89.65 | 89.23 |
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