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Table 7 The classification accuracies for the dominant species. For the abbreviations used, please refer to Tables 3 and 4. The confusion matrices of the classifications are presented as Appendix I

From: On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes

Classifier

Number of explanatory variables

Explanatory variables

Overall accuracy (%)

Kappa coefficient

Spmax

3

I mean, all + Prop_first + D 40

73.6

0.40

4

I mean, all + Prop_first + D 40 + H 60

76.2

0.48

Spmax+95

3

I mean, all + Prop_first + D 40

55.5

0.34

4

I mean, all + Prop_first + D 40 + H 60

57.7

0.39

Sp75

3

I mean, all + Prop_first + D 30

58.5

0.34

4

I mean, all + Prop_first + D 40 + H 70

59.6

0.35

Sp75+95

3

I mean, all + Prop_first + D 30

46.8

0.30

4

I mean, all + Prop_first + D 40 + H 70

45.7

0.28