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Table 3

Modeling aCDOM(440) using different Sentinel-2 band combinations

InputDataset
B2/B3, B4/B2 training 0.92 0.3% 0.16 −0.0015 
validation 0.95 18% 0.13 −0.0121 
B2/B3, B4/B3 training 0.97 0.01% 0.01 0.0013 
validation 0.06 72% 0.48 −0.1026 
B4/B3, B4/B2 training 0.78 0.59% 0.28 −0.0047 
validation 0.61 46% 0.29 −0.0172 
B2/B3, B4/B2, B4/B3 training 0.910 0.44% 0.21 −0.0034 
validation 0.71 36% 0.24 −0.0058 
InputDataset
B2/B3, B4/B2 training 0.92 0.3% 0.16 −0.0015 
validation 0.95 18% 0.13 −0.0121 
B2/B3, B4/B3 training 0.97 0.01% 0.01 0.0013 
validation 0.06 72% 0.48 −0.1026 
B4/B3, B4/B2 training 0.78 0.59% 0.28 −0.0047 
validation 0.61 46% 0.29 −0.0172 
B2/B3, B4/B2, B4/B3 training 0.910 0.44% 0.21 −0.0034 
validation 0.71 36% 0.24 −0.0058 
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