Google Earth Engine for Advanced Land Cover Analysis from Landsat-8 Data with Spectral and Topographic Insights

Table 3

Quantitative results of the suggested SVM approach for land cover classification.

Method	Classes	Precision	Recall	F1 score	OA	Kappa
SVM + SB	Water	0.9839	0.9899	0.9869	0.8412	0.7983
	High vegetation	0.9428	0.885	0.913
	Low vegetation	0.6773	0.6208	0.6478
	Crops	0.6733	0.7179	0.6949
	Built-up	0.8225	0.8944	0.857
SVM + SB + SI	Water	0.9886	0.9889	0.9887	0.8607	0.8230
	High vegetation	0.9217	0.9261	0.9239
	Low vegetation	0.6992	0.7026	0.7009
	Crops	0.7241	0.7374	0.7307
	Built-up	0.8782	0.8592	0.8686
SVM + SB + SI + TF	Water	0.9875	0.9932	0.9903	0.8847	0.8534
	High vegetation	0.9546	0.9125	0.9331
	Low vegetation	0.7514	0.7536	0.7525
	Crops	0.7866	0.7878	0.7872
	Built-up	0.8673	0.9107	0.8885