Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

New Zealand Journal of Forestry Science

Table 6 Prediction methods evaluation using the prediction and validation sets for the Eucalyptus stands

Method	Statistic	Basal area error (m²)		Volume error (m³)
Method	Statistic	Prediction set	Validation set	Prediction set	Validation set
MLR	ME	0.00	− 0.05	0.00	− 0.74
	MAE	0.07	0.09	1.56	2.08
	RMSE	0.08	0.14	1.89	2.48
	RMSE (%)	5.50	9.42	12.27	16.72
RF	ME	0.01	− 0.03	0.08	− 0.90
	MAE	0.03	0.09	0.62	1.63
	RMSE	0.04	0.14	0.73	2.21
	RMSE (%)	2.48	9.54	4.77	14.91
SVM	ME	− 0.01	− 0.05	0.00	− 0.66
	MAE	0.04	0.09	1.19	1.59
	RMSE	0.06	0.14	1.60	2.02
	RMSE (%)	4.14	9.39	10.41	13.58
ANN	ME	0.09	0.03	0.94	0.45
	MAE	0.10	0.09	1.70	1.68
	RMSE	0.14	0.13	1.98	2.05
	RMSE (%)	8.87	8.52	12.88	13.82

MLR multiple linear regression, RF random forest, SVM support vector machine, ANN artificial neural networks, ME mean error, MAE mean absolute error, RMSE root mean square error