1. Figure 3 An example plot with high error index values for the estimated diameter distributions: ML-estimation (48.5), parameter recovery (70.7), ALS-based parameter prediction (97.9), ALS-based parameter recovery (110.5), distribution matching (38.5), field information based parameter prediction (37.4) and k-nn (52.2).
From: Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation
Forestry (Lond). Published online September 22, doi: /forestry/cpx041
Forestry (Lond) | © Institute of Chartered Foresters, All rights reserved. For Permissions, please

2. Figure 2 An example plot with average error index values for the estimated diameter distributions:ML-estimation (37.2), parameter recovery (39.2), ALS-based parameter prediction (55.1), ALS-based parameter recovery (36.7), distribution matching (39.1), field information based parameter prediction (43.3) and k-nn (52.7).
From: Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation
Forestry (Lond). Published online September 22, doi: /forestry/cpx041
Forestry (Lond) | © Institute of Chartered Foresters, All rights reserved. For Permissions, please

3. Figure 1 An example plot with low error index values for the estimated diameter distributions: ML-estimation (20.5), parameter recovery (20.2), ALS-based parameter prediction (26.3), ALS-based parameter recovery (22.3), distribution matching (47.4), field information based parameter prediction (24.0) and k-nn (34.8).
From: Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation
Forestry (Lond). Published online September 22, doi: /forestry/cpx041
Forestry (Lond) | © Institute of Chartered Foresters, All rights reserved. For Permissions, please