Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area

Table 2

Different scenarios (noncombined and combined) from multisensor bands to classify.

Scenario	Layers	Layers used for classification	Sensor
1	Noncombined (single sensor)	NDVI	S2
2		VV	S1
3		VH	S1
4		VV/VH	S1
5		Texture	S1
6		VV; VH	S1
7		VV; VH; texture	S1
8		VV; VV/VH	S1
9		VH; VV/VH	S1
10		VV; VH; VV/VH	S1
11		VV; VH; VV/VH; texture	S1
12	Combined	NDVI; VV	S1 and S2
13		NDVI; VH	S1 and S2
14		NDVI; VH; texture	S1 and S2
15		NDVI; VV/VH	S1 and S2
16		NDVI; VV; VH	S1 and S2
17	(multisensor fusion)	NDVI; VV; VV/VH	S1 and S2
18		NDVI; VH; VV/VH	S1 and S2
19		NDVI; VH; VV/VH; texture	S1 and S2
20		NDVI; VV; VH; VV/VH	S1 and S2