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Fig. 2 | Carbon Balance and Management

Fig. 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

Fig. 2

Procedure for predicting and mapping AGC from LiDAR and inventory plot data in Eucalyptus fast-growing plantations. Pearson’s correlation (r); Model Improvement Ratio (MIR); Leave-one-out cross-validation (LOOCV); Adjusted coefficient of determination (adj.R2); Percentage of variation explained (Pseudo-R2); Root mean squared error (RMSE). a The light gray panel corresponds to the LiDAR data processing step and b the gray panel correspond to the AGC modeling step

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Carbon Balance and Management

ISSN: 1750-0680

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