Table 8 Scenario W0.7 – Pearson correlation and linear regression analysis between AUDPCW and the AUC of spectral features (non-fungicide treatment block) (results for Scenario X are presented in Supplementary Data S Table 2).

From: The potential of UAV and very high-resolution satellite imagery for yellow and stem rust detection and phenotyping in Ethiopia

 

UAV

SkySat

Pleiades

r

R2adj

RMSE

r

R2adj

RMSE

r

R2adj

RMSE

G-AUC

0.81*

0.57*

2.79

0.73

  

0.72

  

R-AUC

0.91*

0.80*

1.93

0.83*

0.62*

2.64

0.79

  

NIR-AUC

0.54

  

0.58

  

0.59

  

NGRDI-AUC

− 0.19

  

− 0.01

  

− 0.78

  

NDVI-AUC

− 0.92**

0.81**

1.85

− 0.71

  

− 0.59

  

GNDVI-AUC

− 0.85*

0.65*

2.52

− 0.68

  

− 0.30

  

TVI-AUC

0.01

  

− 0.01

  

0.30

  

CVI-AUC

− 0.58

  

− 0.49

  

0.43

  

CIG-AUC

− 0.85*

0.66*

2.50

− 0.64

  

− 0.29

  

RGR-AUC

0.26

  

0.05

  

0.80

  

RDVI-AUC

− 0.58

  

− 0.38

  

0.09

  

VARIg-AUC

− 0.19

  

− 0.01

  

− 0.78

  

OSAVI-AUC

− 0.77

  

− 0.71

  

− 0.59

  

MSR-AUC

− 0.85*

0.65*

2.54

− 0.63

  

− 0.55

  

MSAVI2-AUC

− 0.39

  

− 0.73

  

− 0.61

  

RVI-AUC

0.94**

0.85**

1.63

0.73

  

0.61

  

SAVI-AUC

− 0.49

  

− 0.71

  

− 0.59

  

SR-AUC

− 0.80

  

− 0.60

  

− 0.53

  
  1. *p-value < 0.05; **p-value < 0.01; and ***p-value < 0.001.
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