Table 3 The accuracy comparison of forest cover datasets in China.
Products | Forest cover | Non-forest cover | OA (%) | ||||
---|---|---|---|---|---|---|---|
UA (P, %) | PA (R, %) | F1 | UA (P, %) | PA (R, %) | F1 | ||
WorldCover | 86.32 ± 0.31 | 88.45 ± 0.33 | 87.37 | 96.10 ± 0.13 | 95.30 ± 0.10 | 95.70 | 93.58 ± 0.12 |
Esri Land cover | 89.07 ± 0.30 | 78.83 ± 0.39 | 83.64 | 92.90 ± 0.16 | 96.63 ± 0.09 | 94.73 | 92.02 ± 0.14 |
FROM-GLC10 | 85.16 ± 0.33 | 82.16 ± 0.37 | 83.63 | 93.83 ± 0.16 | 94.99 ± 0.11 | 94.40 | 91.66 ± 0.14 |
CRLC | 88.79 ± 0.30 | 81.72 ± 0.38 | 85.11 | 93.90 ± 0.15 | 96.47 ± 0.09 | 95.17 | 92.70 ± 0.14 |
GLC-FCS30 | 85.15 ± 0.33 | 78.65 ± 0.40 | 81.77 | 92.96 ± 0.16 | 95.36 ± 0.10 | 94.14 | 91.14 ± 0.15 |
GlobeLand30 | 85.09 ± 0.35 | 70.30 ± 0.40 | 76.99 | 89.77 ± 0.19 | 95.49 ± 0.10 | 92.54 | 88.73 ± 0.17 |
CLCD | 85.38 ± 0.32 | 86.70 ± 0.35 | 86.04 | 95.56 ± 0.13 | 95.07 ± 0.10 | 95.31 | 92.98 ± 0.13 |
FCM16 | 91.12 ± 0.27 | 87.31 ± 0.34 | 89.17 | 95.76 ± 0.13 | 97.12 ± 0.08 | 96.44 | 94.64 ± 0.12 |