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Table 2 Regression analysis of characteristic bands and winter wheat LAI

From: Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

Modeling method

Variable extraction

Wavelengths numbers

Calibration

Validation

R2

RMSE

RPD

R2

RMSE

RPD

PLSR

Full_spectrum

94

0.79

0.81

2.15

0.78

0.79

2.06

FD

4

0.81

0.77

2.26

0.81

0.75

2.15

SPA

28

0.79

0.81

2.14

0.78

0.81

2.01

CARS

13

0.80

0.79

2.22

0.81

0.78

2.08

CARS_SPA

9

0.83

0.73

2.39

0.83

0.74

2.19

SVR

Full_spectrum

94

0.80

0.79

2.20

0.77

0.79

2.06

FD

4

0.80

0.78

2.22

0.80

0.72

2.24

SPA

28

0.81

0.75

2.31

0.79

0.76

2.14

CARS

13

0.79

0.79

2.20

0.77

0.79

2.04

CARS_SPA

9

0.82

0.75

2.31

0.84

0.65

2.75

Xgboost

Full_spectrum

94

0.93

0.50

3.48

0.80

0.79

2.04

FD

4

0.88

0.65

2.69

0.81

0.75

2.17

SPA

28

0.84

0.73

2.37

0.76

0.82

1.96

CARS

13

0.82

0.82

2.12

0.82

0.84

1.93

CARS_SPA

9

0.89

0.63

2.51

0.89

0.55

2.92