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Table 2 Regression models between UAV-derived sapling height and total aboveground biomass (n = 571)

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

Model

R 2 adjusted

p-value

RMSE

AIC

Lineal

0.71

< 0.001

622.50

8924.65

Second-order polynomial regression

0.78

< 0.001

547.03

8778.81

Third-order polynomial regression

0.78

< 0.001

546.12

8776.92

Fourth-order polynomial regression

0.77

< 0.001

549.62

8784.19

Logarithmic regression

0.51

< 0.001

809.48

9223.02

Inverse exponential regression

0.78

< 0.001

546.00

8775.69

  1. RMSE, root-mean-square error; AIC, Akaike information criterion
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Annals of Forest Science

ISSN: 1297-966X