Table 3 LiDAR metrics considered for modeling

Height minimum, maximum, mean, mode, stddev, variance, CV, IQ, skewness, kurtoris, AAD

h_min, h_max, h_mean*¸ h_mode*, h_std, h_var, h_cv¸ h_iq, h_skw*, h_kur, h_aad,

Height percentile metrics from 01 to 99

h₀₁ to h₉₉*

Percentage of first returns above mean, mode, and 2m

PFR_Ahmean*, PFR_Amode, PFR_A2*

Percentage of all returns above mean, mode, and 2m

PAR_Ahmean*, PAR_Ahmode, PAR_A2

(All returns above mean)/(Total first returns) * 100

(All returns above mode)/(Total first returns) * 100

(All returns above 2m)/(Total first returns) * 100

AR_{Ahmeantotal100}, AR_{Ahmodetotal100}, AR_A2total100

First returns above mean, mode, and 2m

FR_Ahmean, FR_Ahmode, FR_A2

All returns above mean, mode, and 2m

AR_Ahmean, AR_Ahmode, AR_A2

Total first returns

tfr

Total all returns

tar