In mapping studies, a classical procedure is to evaluate model performance and associated errors by randomly selecting a number (e.g., 10%) of test observations (here, 1-km pixels of “observed” AGB) that are set aside at the model calibration stage and only used to quantify model prediction error (validation step). This procedure, used in pantropical carbon