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Table 7 Random Forest models fitted for predicting AGC from LiDAR pulse densities of 5 and 10 pulses m−2

From: Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast-growing Eucalyptus forest plantation using airborne LiDAR data

Pulse density

LiDAR derived metrics

Pseudo-R2

RMSE

Bias

Mg ha−1

%

Mg ha−1

%

5

H99TH + HVAR + H10TH

81.79

3.52

6.14

−0.03

−0.06

10

82.17

3.44

6.01

−0.01

−0.01

  1. Pearson’s correlation coefficient (r); root mean square error (RMSE)