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Table 4 Photogrammetric-based models of dominant height (Ho) and wood volume (V) and corresponding root mean squared error (RMSE). Modeling framework included linear (lm), non-linear (nls), and random forest (rf). Predictors included are distribution percentiles (pxx), and the median absolute deviation of the height models (MAD)

From: Stand-level wind damage can be assessed using diachronic photogrammetric canopy height models

Variable

Model type

Model predictors

RMSE

RMSE (%)

Ho (m)

lm

1.05 p99–1.62

1.9

4

V (m3.ha−1)

lm

29.4 p99 - 414.6

93

25

 

nls

p501.84 + MAD7.29

89

24

 

rf

(p0, p25, p50 p75, p100)

120

32