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Table 4 Performances of the inversion process over the 372 sampled leaves

From: Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model

Variables

Metrics

P3

P3b

P4

P4b

P5

P5b

PD

PDb

Cabc (µg/cm2)

r2

0.65

0.81

0.59

0.79

0.63

0.80

0.79

0.80

RMSE

30.92

27.66

19.90

10.93

25.85

19.21

25.33

22.72

RMSE Corr

8.70

6.51

9.88

6.67

8.94

6.66

6.83

6.67

Slope

1.67

1.63

1.35

1.18

1.54

1.41

1.57

1.50

Bias

− 27.70

− 25.09

− 14.99

− 8.11

− 23.29

− 17.56

− 23.22

− 20.69

\(C_{ab}\) (µg/cm2)

r2

–

–

–

–

0.81

0.82

0.81

0.82

RMSE

    

24.60

18.71

19.39

17.29

RMSE Corr

    

5.60

5.29

5.52

5.45

Slope

    

1.67

1.50

1.52

1.45

Bias

    

− 22.38

− 16.78

− 17.52

− 15.39

\(C_{c}\) (µg/cm2)

r2

    

0.16

0.04

0.48

0.45

RMSE

    

9.00

3.91

6.18

5.75

RMSE Corr

–

–

–

–

5.63

3.42

1.56

1.58

slope

    

0.88

0.99

1.80

1.74

Bias

    

− 0.91

− 0.78

− 5.70

− 5.30

\(C_{w}\) (mg/cm2)

r2

0.88

0.87

0.85

0.85

0.86

0.86

0.85

0.85

RMSE

2.35

2.87

3.75

3.91

3.65

3.79

2.47

2.67

RMSE Corr

1.06

1.13

1.06

1.07

1.03

1.04

1.08

1.09

Slope

1.13

1.17

1.23

1.24

1.23

1.24

1.14

1.16

Bias

− 1.96

− 2.47

− 3.54

− 3.68

− 3.48

− 3.59

− 2.14

− 2.34

\(C_{m}\) (mg/cm2)

r2

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

RMSE

2.45

2.82

2.82

3.07

2.83

3.06

2.59

2.87

RMSE Corr

1.67

1.80

1.80

1.90

1.80

1.89

1.75

1.84

slope

0.56

0.47

0.47

0.42

0.47

0.42

0.53

0.46

Bias

2.18

2.60

2.61

2.88

2.62

2.88

2.33

2.65

\(N\)

Mean

1.45

1.47

1.64

1.63

1.64

1.62

1.43

1.41

\(R_{surf}\)

Mean

0.05

0.05

0.01

0.01

0.01

0.01

0.01

0.01

\(f_{wb}\)

Mean

0.01

0.02

0.07

0.07

0.07

0.07

0.04

0.04

  1. The estimation performances of \(C_{abc}\), \(C_{ab}\), \(C_{c}\), \(C_{w}\) and \(C_{dm}\) were quantified using the squared Pearson correlation coefficient (r2) and the RMSE computed between the measured and estimated biochemical contents over the 186 available data. The RMSE Corr was computed when correcting for possible systematic deviations using a linear model characterized by a slope as observed in Fig. 6. Bias value was the difference between the mean measured and mean estimated biochemical contents. The numbers in italic indicate the best result for each biochemical content and model version