Development of regional models of Pinus radiata height from GIS spatial data supported with supplementary satellite imagery

New Zealand Journal of Forestry Science

Table 4 Summary of statistics for the four regression models of maximum LiDAR height developed using data from Tairua Forest

Model no	Variables included	Fitting dataset		Validation dataset
		R ²	RMSE (m)	R ²	RMSE (m)
1	Age	0.929	3.13	0.951	2.66
2	Age, Site Index	0.934	3.02	0.953	2.60
3	Age, Mean REVI	0.931	3.07	0.948	2.75
4	Age, Site Index, Mean REVI	0.936	2.96	0.951	2.67

Shown are the coefficient of determination (R²) and root mean square error (RMSE) for the fitting and validation datasets. All variables in the four models were significant at P <0.001.