Fig. 5From: On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumesComparison of the RMSEs obtained by the different approaches in the model fitting (above) and prediction (below). The broken and solid lines indicate the accuracies with and without dominant species information, respectively. The horizontal lines give the accuracies of the best SUR models and the other lines those of the k-MSN predictions with k = 1–10. Lines: 1 – no species information, 2 – Sp75, 3 – Sp75+95, 4 – Spmax, 5 – Spmax+95. The lines in the prediction situation depict the best possible prediction model for each species definition and modeling method. For the interpretation of the symbols used, see Fig. 1 Back to article page