Effect of sample size on the estimation of forest inventory attributes using airborne LiDAR data in large-scale subtropical areas

Table 3 Mean rRMSE and R² of the four attribute estimations for the four forest types on the validation dataset with a sample size of 30 and the total number of plots, respectively

Forest type	Sample size	VOL		BA		H		DBH
Forest type	Sample size	rRMSE (%)	R²	rRMSE (%)	R²	rRMSE (%)	R²	rRMSE (%)	R²
Chinese fir	222	22.18	0.761	11.78	0.582	11.78	0.804	16.79	0.617
Chinese fir	30	24.08	0.651	19.88	0.422	12.78	0.717	18.62	0.444
Masson pine	260	19.69	0.824	18.62	0.655	10.30	0.854	20.01	0.506
Masson pine	30	22.04	0.756	20.41	0.542	11.72	0.779	22.63	0.295
Eucalyptus	269	19.09	0.811	18.17	0.716	8.95	0.790	11.32	0.714
Eucalyptus	30	22.16	0.715	20.61	0.608	9.82	0.701	12.51	0.582
Broad-leaved	252	36.16	0.617	29.37	0.484	17.09	0.595	31.16	0.428
Broad-leaved	30	39.57	0.478	31.01	0.361	19.12	0.415	32.06	0.379

ISSN: 1297-966X