Scientia Silvae Sinicae ›› 2021, Vol. 57 ›› Issue (2): 31-38.doi: 10.11707/j.1001-7488.20210204
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Weisheng Zeng,Xiangnan Sun,Liuru Wang,Wei Wang,Ying Pu
Received:
2020-02-17
Online:
2021-02-25
Published:
2021-03-29
CLC Number:
Weisheng Zeng,Xiangnan Sun,Liuru Wang,Wei Wang,Ying Pu. Development of Forest Stand Volume Models Based on Airborne Laser Scanning Data[J]. Scientia Silvae Sinicae, 2021, 57(2): 31-38.
Table 1
The ranges of main stand variables for modeling plots"
森林类型 Forest type | 样地数 Number of plots | 林分年龄Age/a | 平均树高Mean tree height/m | 蓄积量Volume/(m3·hm-2) | |||||
最小值Min. | 最大值Max. | 最小值Min. | 最大值Max. | 最小值Min. | 最大值Max. | ||||
落叶松林Larix spp. | 197 | 26 | 185 | 6.4 | 20.1 | 5.94 | 334.97 | ||
红松林Pinus koraiensis | 197 | 20 | 206 | 4.2 | 19.8 | 9.94 | 669.29 | ||
桦树林Betula spp. | 202 | 8 | 80 | 6.4 | 15.9 | 4.78 | 258.62 | ||
杨树林Populus spp. | 194 | 8 | 90 | 5.8 | 21.5 | 15.59 | 347.18 |
Table 2
Evaluation indices of linear and nonlinear stand volume models"
森林类型 Forest type | 模型 Model | k | R2 | SEE/m3 | TRE(%) | MSE(%) | MPE(%) | MPSE(%) |
落叶松林 | (1) | 4 | 0.739 | 32.43 | -0.03 | 4.17 | 3.87 | 27.86 |
Larix spp. | (2) | 3 | 0.727 | 33.06 | -0.26 | -1.85 | 3.95 | 21.31 |
红松林 | (1) | 6 | 0.827 | 56.61 | 0.00 | -13.52 | 2.83 | 42.06 |
Pinus koraiensis | (2) | 4 | 0.818 | 57.74 | 0.01 | 0.26 | 2.89 | 17.18 |
桦树林 | (1) | 2 | 0.701 | 23.67 | 0.00 | 1.56 | 3.66 | 23.51 |
Betula spp. | (2) | 2 | 0.707 | 23.46 | -0.28 | -1.95 | 3.63 | 21.19 |
杨树林 | (1) | 2 | 0.710 | 41.37 | -1.77 | -53.28 | 3.78 | 71.71 |
Populus spp. | (2) | 2 | 0.722 | 40.54 | -0.29 | -1.28 | 3.71 | 22.67 |
Table 3
Fitting results of nonlinear stand volume model(2)"
森林类型 Forest type | 参数b0 Parameters b0 | 解释变量 Explainable variable | 参数估计值 Parameter estimate | t |
落叶松林 Larix spp. | 189 315 | X35 X71 X81 | 1.270 1 1.347 8 -2.384 8 | 15.60 4.26 9.76 |
落叶松林 Larix spp. | 189 315 | X35 X71 X81 | 1.270 1 1.347 8 -2.384 8 | 15.60 4.26 9.76 |
红松林 Pinus koraiensis | 2 961 | X38 X60 X82 X88 | 1.483 1 0.463 6 -2.104 4 1.008 1 | 19.97 2.14 6.10 2.28 |
桦树林 Betula spp. | 150 965 | X35 X82 | 1.477 6 -1.034 6 | 15.25 6.05 |
杨树林 Populus spp. | 15 555 | X37 X80 | 1.259 3 -0.755 9 | 17.34 6.83 |
Table 4
20 LiDAR variables having the greatest positive and negative relation with stand volume"
变量 Variable | 相关系数 Relation coefficient | 变量 Variable | 相关系数 Relation coefficient | 变量 Variable | 相关系数 Relation coefficient | 变量 Variable | 相关系数 Relation coefficient |
X35 | 0.777 | X07 | 0.762 | X77 | -0.395 | X81 | -0.421 |
X36 | 0.777 | X26 | 0.760 | X79 | -0.396 | X46 | -0.427 |
X37 | 0.774 | X06 | 0.760 | X91 | -0.396 | X82 | -0.430 |
X24 | 0.763 | X08 | 0.760 | X78 | -0.398 | X83 | -0.433 |
X25 | 0.763 | X23 | 0.758 | X80 | -0.402 | X90 | -0.435 |
Table 5
Parameter estimates and evaluation indices of dummy model(6)"
森林类型 Forest type | 参数估计值Parameter estimates | 评价指标Evaluation indices | ||||||||
b0 | b1 | b2 | R2 | SEE/m3 | TRE(%) | MSE(%) | MPE(%) | MPSE(%) | ||
落叶松林Larix spp. | 52 528 | 1.554 7 | -0.953 32 | 0.679 | 35.73 | -0.38 | -1.41 | 4.26 | 24.44 | |
红松林Pinus koraiensis | 16 047 | 1.659 7 | -0.835 34 | 0.814 | 58.00 | 0.01 | -0.38 | 2.90 | 18.23 | |
桦树林Betula spp. | 1 255 | 1.652 1 | -0.630 77 | 0.698 | 23.81 | -0.01 | -0.84 | 3.68 | 21.47 | |
杨树林Populus spp. | 11 831 | 1.335 9 | -0.740 94 | 0.703 | 41.90 | -0.07 | -0.30 | 3.83 | 23.26 |
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