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Table 1 Regression models between UAV-derived sapling height and field tree height (n = 571)

From: Estimation of aboveground biomass and carbon stocks of Quercus ilex L. saplings using UAV-derived RGB imagery

Model

R2 adjusted

p-value

RMSE

AIC

Lineal

0.87

< 0.001

16.76

4818.00

Second-order polynomial regression

0.87

< 0.001

16.74

4817.60

Third-order polynomial regression

0.88

< 0.001

16.69

4814.69

Fourth-order polynomial regression

0.88

< 0.001

16.66

4812.25

Logarithmic regression

0.76

< 0.001

23.01

5178.29

Inverse exponential regression

0.79

< 0.001

21.80

5116.75

  1. RMSE root-mean-square error; AIC Akaike information criterion