Table 10.
Error matrix for accuracy assessment of LULC classification using artificial neural network (Leeuwen et al. [48]).
| LULC | Deep Water |
Shallow Water |
Urban | Bare Soil |
Agricultural Land | Grassland | Forest | Cloud | Sum |
|---|---|---|---|---|---|---|---|---|---|
| Deep water |
1065 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1068 |
| Shallow water |
0 | 291 | 1 | 0 | 0 | 0 | 0 | 0 | 292 |
| Urban | 0 | 0 | 2953 | 3 | 69 | 0 | 87 | 0 | 3112 |
| Bare soil |
0 | 0 | 0 | 2973 | 0 | 0 | 0 | 0 | 2973 |
| Agricultural land | 0 | 0 | 110 | 0 | 1771 | 0 | 0 | 0 | 1881 |
| Grassland | 0 | 6 | 45 | 0 | 121 | 675 | 0 | 0 | 847 |
| Forest | 2 | 37 | 28 | 0 | 0 | 0 | 1601 | 0 | 1668 |
| Cloud | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1582 | 1585 |
| Sum | 1067 | 337 | 3140 | 2976 | 1961 | 675 | 1688 | 1582 | 13,426 |
| Overall accuracy | 0.96 | ||||||||
| Kappa | 0.95 | ||||||||