Table 9 Confusion matrix derived from the final map for the EMBAL dataset.

From: European Union crop map 2022: Earth observation’s 10-meter dive into Europe’s crop tapestry

Level-2 Code

100

210

213

214

215

216

217

219

221

222

223

230

231

232

233

240

250

290

300

500

600

700

800

Total

UA

F1-Score

100

0

98

37

7

12

56

0

0

36

1

1

0

11

7

3

239

78

129

312

547

0

0

0

1574

0.0%

0.0%

210

0

2426

636

235

222

70

0

0

31

9

0

0

16

85

3

59

360

14

109

364

0

0

0

4639

52.3%

60.7%

213

0

128

268

68

50

1

0

0

1

2

1

0

0

29

1

7

61

0

15

70

0

0

0

702

38.2%

27.3%

214

0

69

37

62

12

12

0

0

5

0

0

0

0

7

0

7

14

0

4

40

0

0

0

269

23.0%

17.6%

215

0

102

66

20

92

4

0

0

7

0

0

0

2

0

0

8

37

0

15

65

0

0

0

418

22.0%

19.0%

216

0

95

36

9

27

2339

38

0

58

5

8

5

51

3

57

118

158

18

57

176

0

0

0

3258

71.8%

78.1%

217

0

0

0

0

0

0

5

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

5

100.0%

20.4%

219

0

2

0

0

5

1

0

0

2

0

0

0

0

0

0

1

13

1

0

5

0

0

0

30

0.0%

0.0%

221

0

3

3

1

2

10

0

0

134

1

11

0

12

3

4

30

13

0

6

10

0

0

0

243

55.1%

39.5%

222

0

0

1

0

1

3

0

0

2

88

12

1

3

4

0

26

6

0

0

7

0

0

0

154

57.1%

65.2%

223

0

0

0

0

0

0

0

0

0

1

2

0

0

0

0

4

1

0

0

1

0

0

0

9

22.2%

7.3%

230

0

5

4

0

0

0

0

0

1

0

0

27

5

0

0

28

3

0

0

1

0

0

0

74

36.5%

47.0%

231

0

15

4

1

4

37

0

0

21

3

2

5

398

0

17

35

27

2

6

9

0

0

0

586

67.9%

70.9%

232

0

14

0

0

0

10

0

0

0

2

0

0

6

279

0

5

34

0

7

8

0

0

0

365

76.4%

69.0%

233

0

14

1

0

0

20

0

0

3

0

0

0

10

0

84

15

1

0

1

7

0

0

0

156

53.8%

50.8%

240

0

5

5

0

6

3

0

0

9

3

5

2

1

17

1

50

51

1

5

6

0

0

0

170

29.4%

9.7%

250

0

52

26

1

13

14

1

0

7

0

0

0

1

1

0

6

255

1

10

195

0

0

0

583

43.7%

23.0%

290

0

97

13

1

7

4

0

0

5

0

0

1

5

0

0

43

18

3

19

45

0

0

0

261

1.1%

0.9%

300

0

82

25

5

22

68

0

0

32

1

2

0

9

5

0

77

82

133

4978

2375

0

0

0

7896

63.0%

70.1%

500

0

147

101

24

76

83

0

0

81

0

2

0

6

4

4

101

421

119

733

9962

0

0

0

11864

84.0%

77.3%

600

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

12

8

0

0

0

21

0.0%

0.0%

700

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

6

4

0

0

0

11

0.0%

0.0%

800

0

2

0

0

0

0

0

0

0

0

0

0

0

0

1

0

1

0

12

4

0

0

0

20

0.0%

0.0%

Total

0

3356

1264

434

551

2735

44

0

435

116

46

41

537

444

175

859

1634

421

6307

13909

0

0

0

33308

OA = 64.4%

PA

0.0%

72.3%

21.2%

14.3%

16.7%

85.5%

11.4%

0.0%

30.8%

75.9%

4.3%

65.9%

74.1%

62.8%

48.0%

5.8%

15.6%

0.7%

78.9%

71.6%

0.0%

72.3%

21.2%

 

κ = 0.54

  1. UA = User’s Accuracy, PA = Producer’s Accuracy, OA = Overall Accuracy, Kappa coefficient = κ.