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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)