Scientific Data

Table 6 LiDAR-AGB Linear Mixed Effects Model performance statistics at 1-ha and 0.16-ha plot sizes.

From: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

Plot Size (1-ha)					Plot Size (0.16-ha)
LCM	AIC	R²	RMSE [Mg ha⁻¹]	RMSE [%]	LCM	AIC	R²	RMSE [Mg ha⁻¹]	RMSE [%]
meanH	−180.42	0.89	43.62	15.2	meanH	149.94	0.71	88.55	32.4
RH60	−169.22	0.88	44.75	15.6	QMCH_chm	194.11	0.70	89.31	32.7
RH50	−167.22	0.88	45.27	15.8	RH90	379.89	0.65	96.81	35.4
RH70	−151.53	0.87	45.83	16.0	RH98	642.43	0.59	105.29	38.5
QMCH_chm	−148.49	0.88	45.30	15.8	RH40	869.25	0.60	106.49	39.0
RH80	−133.52	0.87	47.14	16.5	RH50	889.42	0.59	106.84	39.1
RH40	−114.58	0.86	48.46	16.9	CCF10	928.45	0.50	116.11	42.5
RH90	−102.74	0.85	50.54	17.7	RH60	975.37	0.59	106.68	39.0
RH98	−23.33	0.79	59.26	20.7	RH80	1033.34	0.62	103.08	37.7
CCF10	15.74	0.72	70.11	24.5	RH70	1036.05	0.59	106.41	38.9
CCF5	66.87	0.63	79.56	27.8	CCF5	1101.04	0.46	120.43	44.1
CV	85.22	0.61	81.18	28.4	CCF2	1105.63	0.45	121.80	44.6
CCF2	90.21	0.60	82.20	28.7	CV	1265.00	0.41	132.29	48.4
sdH	114.75	0.62	79.52	27.8	sdH	1365.98	0.41	128.62	47.1
rumple	131.76	0.58	83.77	29.3	rumple	1473.62	0.39	130.34	47.7

The table is sorted in ascending order based on the column “AIC” (Akaike information criterion) when the respective LiDAR Canopy Metric (LCM) is used for Eq. 1. R² and RMSEs (in Mg ha-1 and in %) are computed on back-transformed predictions.

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