New Zealand Journal of Forestry Science

Table 9 Statistics of basal area and volume maps estimated by spatial predictions methods MLR, RF, SVM, and ANN

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

Method	Basal area (m²)					Volume (m³)
Method	Min	Max	Mean	Standard deviation	Total estimate	Min	Max	Mean	Standard deviation	Total estimate
MLR	0.62	1.83	1.52	0.20	6151.9	4.51	19.99	15.30	2.30	61,739.5
MLR-RK	0.65	1.93	1.52	0.21	6141.0	–	–	–	–	–
RF	0.96	1,89	1.51	0.17	6101.5	9.26	18.08	15.27	1.81	61,600.1
RF-RK	0.93	1.93	1.53	0.17	6166.6	9.02	18.37	15.36	1.91	61,965.7
SVM	0.88	2.12	1.57	0.18	6326.2	1.36	19.64	15.31	2.57	61,760.7
SVM-RK	0.76	2.10	1.56	0.19	6284.2	1.10	21.78	15.29	2.92	61,683.8
ANN	0.97	1.65	1.42	0.22	5715.3	8.32	15.68	13.93	2.70	56,223.8
ANN-RK	0.90	1.94	1.50	0.23	6070.3	–	–	–	–	–

Min minimum value, Max maximum value, MLR multiple linear regression, RF random forest, SVM support vector machine, ANN artificial neural networks, RK residual estimation by ordinary kriging

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