Table 9:   				Confusion matrix when the Random Forests classifier is applied to the combination of Landsat-8 OLI, RADARSAT-2, DEM, and slope data.  			
  			  				  				  					| Class | Ap | Af | At | O | Mc | McV | Ms | MsV | Ms/R | SG | SGV | S/R | T | bT | gT | gsT | sT | wT | TV | T/R | B | R | User’s accuracy | Error of Commission | 
    				  					| Ap | 38 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95.0 | 5.0 | 
    				  					| Af | 0 | 76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| At | 0 | 0 | 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| O | 0 | 0 | 0 | 109 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| Mc | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| McV | 0 | 0 | 0 | 0 | 0 | 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| Ms | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 99.3 | 0.7 | 
    				  					| MsV | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 96.7 | 3.3 | 
    				  					| Ms/R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| SG | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 176 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96.7 | 3.3 | 
    				  					| SGV | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 99.3 | 0.7 | 
    				  					| S/R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| T | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 98.8 | 1.2 | 
    				  					| bT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| gT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| gsT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| sT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 
    				  					| wT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0 | 0 | 0 | 0 | 99.2 | 0.8 | 
    				  					| TV | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 99 | 0 | 0 | 0 | 99.0 | 1.0 | 
    				  					| T/R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0 | 0 | 100 | 0 | 
    				  					| B | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 100 | 0 | 
    				  					| R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 99.4 | 0.6 | 
    				  					| Producer’s accuracy | 100 | 100 | 100 | 99.1 | 100 | 98.4 | 98.6 | 98.3 | 99.0 | 99.4 | 97.2 | 100 | 100 | 100 | 100 | 100 | 98.0 | 99.2 | 100 | 100 | 100 | 100 |  |  | 
    				  					| Error of Omission | 0 | 0 | 0 | 0.9 | 0 | 1.6 | 1.4 | 1.7 | 1.0 | 0.6 | 2.8 | 0 | 0 | 0 | 0 | 0 | 2.0 | 0.8 | 0 | 0 | 0 | 0 |  |  |