Enhancing the Applicability of Satellite Remote Sensing for Estimation Using Machine Learning Models in China

Table 3

Description of the results and evaluation for the ML-LUR model.

		R2	MAE ()	RMSE ()	SMAPE (%)
Overall	925357	0.88	7.56	15.51	20.62
(A) Season
Winter	227604	0.88	8.29	14.70	17.27
Spring	232623	0.86	5.16	9.91	17.07
Summer	228551	0.80	3.41	4.83	20.40
Fall	236582	0.90	4.69	7.40	19.58
(B) Year
2020	470071	0.89	5.63	10.95	18.58
2021	415159	0.90	4.93	8.58	18.28