Acta Prataculturae Sinica ›› 2021, Vol. 30 ›› Issue (11): 1-12.DOI: 10.11686/cyxb2020569
Dian-dai ZHANG1(), Xue-mei WANG1,2(), Mei ZAN1,2
Received:
2020-12-16
Revised:
2021-05-10
Online:
2021-10-19
Published:
2021-10-19
Contact:
Xue-mei WANG
Dian-dai ZHANG, Xue-mei WANG, Mei ZAN. Estimation of vegetation aboveground biomass in the Wei-Ku Oasis based on Landsat 8 OLI images[J]. Acta Prataculturae Sinica, 2021, 30(11): 1-12.
植被指数 Vegetation index | 计算公式 Calculation formula |
---|---|
归一化植被指数 NDVI | |
差值植被指数 DVI | |
比值植被指数 RVI | |
土壤调节植被指数 SAVI | |
修改型土壤调节植被指数MSAVI | |
增强型植被指数 EVI | |
大气阻抗植被指数 ARVI |
Table 1 Calculation formulas of vegetation index
植被指数 Vegetation index | 计算公式 Calculation formula |
---|---|
归一化植被指数 NDVI | |
差值植被指数 DVI | |
比值植被指数 RVI | |
土壤调节植被指数 SAVI | |
修改型土壤调节植被指数MSAVI | |
增强型植被指数 EVI | |
大气阻抗植被指数 ARVI |
波段组合Band combination | 计算公式Calculation formula |
---|---|
波段值和波段倒数Band value and band reciprocal | B1,B2,B3,B4,B5,B6,B7 1/B2,1/B3,1/B4,1/B5,1/B6,1/B7 |
2个波段比值Ratio of 2 bands | B23=B2/B3,B24=B2/B4,B25=B2/B5 B34=B3/B4,B35=B3/B5,B45=B4/B5 |
3个波段比值Ratio of 3 bands | B234=(B2+B3)/B4, B235=(B2+B3)/B5, B243=(B2+B4)/B3 B245=(B2+B4)/B5, B253=(B2+B5)/B3, B254=(B2+B5)/B4 B342=(B3+B4)/B2, B345=(B3+B4)/B5, B352=(B3+B5)/B2 B354=(B3+B5)/B4, B452=(B4+B5)/B2, B453=(B4+B5)/B3 |
4个波段比值Ratio of 4 bands | B2345=(B2+B3)/(B4+B5),B2435=(B2+B4)/(B3+B5) B2534=(B2+B5)/(B3+B4),B3425=(B3+B4)/(B2+B5) B234/5=(B2+B3+B4)/B5,B345/2=(B3+B4+B5)/B2 |
Table 2 Calculation formulas of Landsat 8 band combination
波段组合Band combination | 计算公式Calculation formula |
---|---|
波段值和波段倒数Band value and band reciprocal | B1,B2,B3,B4,B5,B6,B7 1/B2,1/B3,1/B4,1/B5,1/B6,1/B7 |
2个波段比值Ratio of 2 bands | B23=B2/B3,B24=B2/B4,B25=B2/B5 B34=B3/B4,B35=B3/B5,B45=B4/B5 |
3个波段比值Ratio of 3 bands | B234=(B2+B3)/B4, B235=(B2+B3)/B5, B243=(B2+B4)/B3 B245=(B2+B4)/B5, B253=(B2+B5)/B3, B254=(B2+B5)/B4 B342=(B3+B4)/B2, B345=(B3+B4)/B5, B352=(B3+B5)/B2 B354=(B3+B5)/B4, B452=(B4+B5)/B2, B453=(B4+B5)/B3 |
4个波段比值Ratio of 4 bands | B2345=(B2+B3)/(B4+B5),B2435=(B2+B4)/(B3+B5) B2534=(B2+B5)/(B3+B4),B3425=(B3+B4)/(B2+B5) B234/5=(B2+B3+B4)/B5,B345/2=(B3+B4+B5)/B2 |
序号 Serial number | 常规统计模型函数 Function of conventional statistical models | 表达式 Expression |
---|---|---|
1 | 线性函数 Linear function | |
2 | 幂函数 Power function | |
3 | 逆函数 Inverse function | |
4 | 对数函数 Logarithmic function | |
5 | 指数函数 Exponential function | |
6 | S型曲线函数 S-curve function | |
7 | 二次项函数 Quadratic term function | |
8 | 三次项函数 Cubic term function |
Table 3 Function expressions conventional statistical model
序号 Serial number | 常规统计模型函数 Function of conventional statistical models | 表达式 Expression |
---|---|---|
1 | 线性函数 Linear function | |
2 | 幂函数 Power function | |
3 | 逆函数 Inverse function | |
4 | 对数函数 Logarithmic function | |
5 | 指数函数 Exponential function | |
6 | S型曲线函数 S-curve function | |
7 | 二次项函数 Quadratic term function | |
8 | 三次项函数 Cubic term function |
序号 Serial number | 变量 Variables | 乔木 Arbors | 灌木 Shrubs | 草本 Herbs | 农作物 Crops | 序号 Serial number | 变量 Variables | 乔木 Arbors | 灌木 Shrubs | 草本 Herbs | 农作物 Crops |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | NDVI | 0.716** | 0.720** | 0.711** | 0.602** | 11 | B354 | 0.660** | 0.617** | 0.628** | 0.673** |
2 | RVI | 0.701** | 0.716** | 0.707** | 0.675** | 12 | B452 | 0.657** | 0.519** | - | 0.669** |
3 | SAVI | 0.716** | 0.720** | 0.711** | 0.602** | 13 | B453 | 0.737** | 0.601** | - | 0.686** |
4 | ARVI | 0.662** | 0.543** | - | 0.589** | 14 | B345/2 | 0.634** | 0.497** | - | 0.666** |
5 | DVI | 0.730** | 0.670** | 0.609** | 0.488** | 15 | B2534 | 0.711** | 0.660** | 0.598** | 0.679** |
6 | EVI | 0.634** | 0.567** | 0.555** | 0.542** | 16 | 1/B3 | - | 0.587** | - | 0.756** |
7 | 1/B2 | 0.590** | 0.596** | 0.536** | 0.718** | 17 | 1/B4 | - | 0.531** | - | 0.742** |
8 | B253 | 0.755** | 0.701** | 0.588** | 0.682** | 18 | 1/B6 | - | - | - | 0.572** |
9 | B254 | 0.650** | 0.508** | - | 0.672** | 19 | 1/B7 | - | - | - | 0.669** |
10 | B352 | 0.677** | 0.571** | - | 0.670** | 20 | B34 | - | - | - | 0.557** |
Table 4 Correlation analysis of remote sensing characteristic factors and aboveground biomass of vegetation
序号 Serial number | 变量 Variables | 乔木 Arbors | 灌木 Shrubs | 草本 Herbs | 农作物 Crops | 序号 Serial number | 变量 Variables | 乔木 Arbors | 灌木 Shrubs | 草本 Herbs | 农作物 Crops |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | NDVI | 0.716** | 0.720** | 0.711** | 0.602** | 11 | B354 | 0.660** | 0.617** | 0.628** | 0.673** |
2 | RVI | 0.701** | 0.716** | 0.707** | 0.675** | 12 | B452 | 0.657** | 0.519** | - | 0.669** |
3 | SAVI | 0.716** | 0.720** | 0.711** | 0.602** | 13 | B453 | 0.737** | 0.601** | - | 0.686** |
4 | ARVI | 0.662** | 0.543** | - | 0.589** | 14 | B345/2 | 0.634** | 0.497** | - | 0.666** |
5 | DVI | 0.730** | 0.670** | 0.609** | 0.488** | 15 | B2534 | 0.711** | 0.660** | 0.598** | 0.679** |
6 | EVI | 0.634** | 0.567** | 0.555** | 0.542** | 16 | 1/B3 | - | 0.587** | - | 0.756** |
7 | 1/B2 | 0.590** | 0.596** | 0.536** | 0.718** | 17 | 1/B4 | - | 0.531** | - | 0.742** |
8 | B253 | 0.755** | 0.701** | 0.588** | 0.682** | 18 | 1/B6 | - | - | - | 0.572** |
9 | B254 | 0.650** | 0.508** | - | 0.672** | 19 | 1/B7 | - | - | - | 0.669** |
10 | B352 | 0.677** | 0.571** | - | 0.670** | 20 | B34 | - | - | - | 0.557** |
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
二次项Quadratic term | 0.686 | 4.517 | 0.067 | 0.893 | 9.521 | 0.118 | 0.000 | |
多元逐步回归MSR | 0.607 | 5.050 | 0.066 | 0.812 | 8.176 | 0.095 | 0.000 | |
偏最小二乘回归PLSR | 0.713 | 4.589 | 0.069 | 0.745 | 7.753 | 0.107 | 0.000 |
Table 5 Evaluation of different estimation models for aboveground biomass of arbors
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
二次项Quadratic term | 0.686 | 4.517 | 0.067 | 0.893 | 9.521 | 0.118 | 0.000 | |
多元逐步回归MSR | 0.607 | 5.050 | 0.066 | 0.812 | 8.176 | 0.095 | 0.000 | |
偏最小二乘回归PLSR | 0.713 | 4.589 | 0.069 | 0.745 | 7.753 | 0.107 | 0.000 |
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
S型曲线S-curve | 0.560 | 0.832 | 0.689 | 0.394 | 0.826 | 0.642 | 0.000 | |
多元逐步回归MSR | 0.542 | 10.525 | 6.577 | 0.637 | 5.810 | 4.125 | 0.000 | |
偏最小二乘回归 PLSR | 0.648 | 9.233 | 5.783 | 0.721 | 6.198 | 4.910 | 0.000 |
Table 6 Effect evaluation of different estimation models for aboveground biomass of shrubs
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
S型曲线S-curve | 0.560 | 0.832 | 0.689 | 0.394 | 0.826 | 0.642 | 0.000 | |
多元逐步回归MSR | 0.542 | 10.525 | 6.577 | 0.637 | 5.810 | 4.125 | 0.000 | |
偏最小二乘回归 PLSR | 0.648 | 9.233 | 5.783 | 0.721 | 6.198 | 4.910 | 0.000 |
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
二次项Quadratic term | 0.467 | 5.931 | 4.939 | 0.696 | 5.204 | 4.695 | 0.000 | |
多元逐步回归MSR | 0.462 | 5.958 | 4.901 | 0.687 | 5.271 | 4.824 | 0.000 | |
偏最小二乘回归 PLSR | 0.632 | 5.018 | 4.071 | 0.728 | 6.119 | 5.011 | 0.000 |
Table 7 Accuracy evaluation of estimation model for herbs aboveground biomass in the study area
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
二次项Quadratic term | 0.467 | 5.931 | 4.939 | 0.696 | 5.204 | 4.695 | 0.000 | |
多元逐步回归MSR | 0.462 | 5.958 | 4.901 | 0.687 | 5.271 | 4.824 | 0.000 | |
偏最小二乘回归 PLSR | 0.632 | 5.018 | 4.071 | 0.728 | 6.119 | 5.011 | 0.000 |
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
S型曲线S-curve | 0.623 | 22.027 | 16.058 | 0.513 | 18.648 | 14.360 | 0.000 | |
多元逐步回归MSR | 0.571 | 19.860 | 13.008 | 0.677 | 17.638 | 13.648 | 0.000 | |
偏最小二乘回归 PLSR | 0.613 | 18.863 | 13.158 | 0.626 | 17.659 | 13.671 | 0.000 |
Table 8 Accuracy evaluation of crops aboveground biomass estimation model in the study area
模型 Model | 表达式 Expression | 建模Modeling | 验证Verification | P | ||||
---|---|---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |||
S型曲线S-curve | 0.623 | 22.027 | 16.058 | 0.513 | 18.648 | 14.360 | 0.000 | |
多元逐步回归MSR | 0.571 | 19.860 | 13.008 | 0.677 | 17.638 | 13.648 | 0.000 | |
偏最小二乘回归 PLSR | 0.613 | 18.863 | 13.158 | 0.626 | 17.659 | 13.671 | 0.000 |
等级 Grade | 地上生物量 AGB (g·m-2) | 乔木Arbors | 灌木Shrubs | 草本Herbs | 农作物Crops | ||||
---|---|---|---|---|---|---|---|---|---|
面积 Area (km2) | 百分比 Proportion(%) | 面积 Area (km2) | 百分比 Proportion(%) | 面积 Area (km2) | 百分比 Proportion(%) | 面积 Area (km2) | 百分比 Proportion(%) | ||
Ⅰ | 0<AGB≤65 | 78.04 | 16.74 | 0.17 | 0.01 | 1245.46 | 75.21 | 45.11 | 0.92 |
Ⅱ | 65<AGB≤280 | 175.23 | 37.58 | 0.31 | 0.01 | 410.43 | 24.79 | 182.80 | 3.73 |
Ⅲ | 280<AGB≤950 | 212.98 | 45.68 | 2087.26 | 99.98 | - | - | 1436.62 | 29.31 |
Ⅳ | 950<AGB≤1450 | - | - | - | - | - | - | 3236.96 | 66.04 |
合计Total | - | 466.25 | 100.00 | 2087.74 | 100.00 | 1655.89 | 100.00 | 4901.49 | 100.00 |
Table 9 Statistics of vegetation aboveground biomass in study area
等级 Grade | 地上生物量 AGB (g·m-2) | 乔木Arbors | 灌木Shrubs | 草本Herbs | 农作物Crops | ||||
---|---|---|---|---|---|---|---|---|---|
面积 Area (km2) | 百分比 Proportion(%) | 面积 Area (km2) | 百分比 Proportion(%) | 面积 Area (km2) | 百分比 Proportion(%) | 面积 Area (km2) | 百分比 Proportion(%) | ||
Ⅰ | 0<AGB≤65 | 78.04 | 16.74 | 0.17 | 0.01 | 1245.46 | 75.21 | 45.11 | 0.92 |
Ⅱ | 65<AGB≤280 | 175.23 | 37.58 | 0.31 | 0.01 | 410.43 | 24.79 | 182.80 | 3.73 |
Ⅲ | 280<AGB≤950 | 212.98 | 45.68 | 2087.26 | 99.98 | - | - | 1436.62 | 29.31 |
Ⅳ | 950<AGB≤1450 | - | - | - | - | - | - | 3236.96 | 66.04 |
合计Total | - | 466.25 | 100.00 | 2087.74 | 100.00 | 1655.89 | 100.00 | 4901.49 | 100.00 |
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