*3.1. WorldView-3 Superspectral Land-Sea Habitat Mapping*

The classification performance of the BGR basic dataset provided a satisfactory OA of 89.15% (Figure 5a). On the one hand, the addition of the coastal and yellow predictors, yielding the VIS combination, increased the basic OA by 2.69% (Figure 5b). On the other hand, the addition of the RE, NIR1 and NIR2 to the VIS combination, so as to produce the optical dataset, augmented the basic OA by 8.79% (Figure 5c).

**Figure 5.** Maximum likelihood classification maps of the land-sea coral reefscape using WorldView-3: (**a**) basic dataset (blue-green-red); (**b**) visible dataset (Coastal-blue-green-yellow-red); (**c**) optical dataset (Coastal-blue-green-yellow-red-Red Edge-Near-InfraRed1-Near-InfraRed2).

The addition of the eight MIR spectral bands, individually, to the optical dataset showed a high mean contribution of 9.52% (Figure 6). However, some subtle patterns could be highlighted: the MIR8, MIR7, MIR2, MIR5 contributed to a gain of the basic OA (9.58%, 9.57%, 9.53% and 9.51%, respectively); the MIR3, MIR4 and MIR6 contributed to the mean increase of 9.5%; and the MIR1 contributed to an enhancement of 9.47%. Given that the optical boosting to the basic OA was 8.79%, all MIR bands brought novel information to discriminate LULC-SUSC.

**Figure 6.** Maximum likelihood classification maps of the land-sea coral reefscape using WorldView-3 optical dataset with: (**a**) Mid-InfraRed1 (MIR1); (**b**) MIR2; (**c**) MIR3; (**d**) MIR4; (**e**) MIR5; (**f**) MIR6; (**g**) MIR7; (**h**) MIR8.
