The Scientific World Journal / 2021 / Article / Tab 2 / Research Article
Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach Table 2 Results of the accuracy assessment for the LULC classification based on the ML classifier without the MaSegFil approach.
LULC class C_0 C_1 C_2 C_3 C_4 C_5 C_6 C_7 C_8 C_9 C_10 Total User accuracy Kappa C_0 105 22 2 0 0 2 0 0 0 0 0 131 0.802 0.000 C_1 32 199 27 0 0 10 0 0 1 0 0 269 0.740 0.000 C_2 24 19 64 0 0 4 25 21 19 0 0 176 0.364 0.000 C_3 11 0 1 5 0 0 37 1 24 0 0 79 0.063 0.000 C_4 3 5 1 0 3 0 1 11 0 2 0 26 0.115 0.000 C_5 27 49 22 0 0 33 2 1 6 0 0 140 0.236 0.000 C_6 12 0 2 0 0 0 551 6 12 0 0 583 0.945 0.000 C_7 1 0 2 0 0 0 31 357 6 1 0 398 0.897 0.000 C_8 13 0 12 0 0 1 25 8 145 0 0 204 0.711 0.000 C_9 0 0 0 0 0 0 0 4 0 59 5 68 0.868 0.000 C_10 0 0 0 0 0 0 0 0 0 8 45 53 0.849 0.000 Total 228 294 133 5 3 50 672 409 213 70 50 2127 0.000 0.000 Procedure accuracy 0.461 0.677 0.481 1.000 1.000 0.660 0.820 0.873 0.681 0.843 0.900 0.000 0.736 0.000 Kappa 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.684
C_0: primary dryland forest; C_1: secondary dryland forest; C_2: fields; C_3: open field; C_4: wetland forest; C_5: plantation; C_6: settlement; C_7: rice fields; C_8: shrubs; C_9: fishpond; C_10: water body.