Table 8 Confusion matrix obtained from the hierarchical classification.

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

Level-2 Code

100

211

212

213

214

215

216

217

218

219

221

222

223

230

231

232

233

240

250

290

300

500

600

700

800

Total

UA

F1-Score

100

1990

9

8

9

1

3

18

0

1

1

1

1

0

3

4

6

0

22

6

30

515

738

60

10

6

3442

57.8%

58.1%

211

86

1721

87

310

96

65

35

0

108

11

3

1

9

56

5

125

3

24

70

194

45

362

7

5

3

3431

50.2%

63.2%

212

29

27

88

36

0

14

0

0

3

1

0

0

1

2

2

1

0

9

19

41

19

84

4

1

0

381

23.1%

28.9%

213

8

67

19

485

18

36

3

0

21

4

0

1

4

13

3

37

1

8

22

82

7

64

2

0

0

905

53.6%

51.8%

214

10

30

0

19

82

7

5

0

39

2

2

0

3

0

0

1

0

4

5

10

4

51

2

0

0

276

29.7%

31.1%

215

10

37

5

49

11

110

6

0

12

2

0

0

0

1

0

0

0

3

24

22

11

87

1

0

1

392

28.1%

32.7%

216

90

30

0

13

5

7

1189

5

2

13

9

7

9

20

23

6

38

47

27

23

63

205

6

0

1

1838

64.7%

75.4%

217

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.0%

0.0%

218

0

5

0

8

18

2

1

0

30

0

0

0

0

1

0

1

0

0

1

4

0

4

0

0

0

75

40.0%

19.7%

219

0

1

0

0

0

1

0

0

0

9

0

0

0

2

0

0

1

1

3

1

1

5

1

0

0

26

34.6%

22.2%

221

6

8

0

0

1

1

3

0

1

1

124

7

1

5

11

5

3

9

2

10

3

13

1

0

0

215

57.7%

63.6%

222

8

4

0

0

0

1

1

0

0

3

6

152

7

6

6

2

0

7

3

3

3

13

1

0

0

226

67.3%

75.2%

223

0

0

0

0

0

0

0

0

0

0

2

0

8

0

1

0

0

0

0

0

0

0

0

0

0

11

72.7%

22.2%

230

12

3

0

1

0

1

0

0

0

0

0

1

1

41

3

2

0

5

3

2

5

9

0

0

0

89

46.1%

31.7%

231

19

2

1

2

0

0

12

0

0

0

13

3

4

5

269

3

2

22

4

16

17

26

3

0

0

423

63.6%

70.1%

232

14

24

1

2

3

1

1

0

2

1

0

1

4

2

5

429

1

7

3

23

2

32

1

0

0

559

76.7%

72.3%

233

3

2

0

0

0

0

8

0

0

1

1

0

0

1

4

0

52

1

3

2

1

5

0

0

0

84

61.9%

55.9%

240

4

10

1

1

0

1

1

0

1

4

6

2

6

7

0

7

0

79

5

16

4

17

0

0

0

172

45.9%

35.6%

250

17

6

4

5

2

7

3

0

2

0

2

0

1

4

0

0

0

5

187

11

12

129

0

1

0

398

47.0%

35.8%

290

17

1

3

9

1

10

0

0

1

0

2

1

1

0

6

0

0

8

13

168

43

51

8

1

0

344

48.8%

31.9%

300

770

6

2

9

3

2

12

0

1

0

2

0

0

0

2

0

1

4

15

25

9901

1153

49

19

69

12045

82.2%

85.0%

500

272

21

9

10

11

10

15

0

6

2

2

1

1

1

1

3

0

7

232

18

547

5809

8

7

29

7022

82.7%

73.0%

600

33

0

0

0

0

1

1

0

0

0

0

0

1

0

0

0

0

0

0

9

13

11

27

1

1

98

27.6%

18.7%

700

12

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

4

11

10

19

5

62

30.6%

29.7%

800

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

20

17

0

2

73

114

64.0%

48.3%

Total

3412

2014

228

968

252

281

1314

5

230

55

175

178

61

170

345

628

102

272

647

710

11240

8896

191

66

188

32628

OA = 70.6%

PA

58.3%

85.5%

38.6%

50.1%

32.5%

39.1%

90.5%

0.0%

13.0%

16.4%

70.9%

85.4%

13.1%

24.1%

78.0%

68.3%

51.0%

29.0%

28.9%

23.7%

88.1%

65.3%

14.1%

28.8%

38.8%

 

κ = 0.63

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