Geography Reference
In-Depth Information
Table 5.9 The classification accuracy assessment for the resulted thematic map that represents the spatial distribution of the permanent and the winter
agricultural classes in the 21,000 ha project
Reference classes (image/ground)
Resulted classified classes from
LANDSAT-TM-images
Total/possible
Omissions (%)
Commissions (%)
Mapping accuracy (%)
1234567
Trees and shrubs (1)
9
1
0
0
0
1
0
11
2/11 = 0.18 9 100 = 18
3/11 = 27
9/9 ? 2+3 = 64
Alfalfa (2)
1
7
0
0
1
0
0
9
2/9 = 22
2/9 = 22
7/7 ? 2+2 = 63
Wheat (3)
1
1
17
4
1
0
0
24
7/24 = 29
5/24 = 20
17/17 ? 1+5 = 73
Barley (4)
0
0
4
13
0
0
2
19
6/19 = 31
6/19 = 31
13/13 ? 6+6 = 52
Sugar beet (5)
0
0
1
1
10
0
0
12
2/12 = 16
2/12 = 16
10/10 ? 2+2 = 71
Fallow (6)
1
0
0
0
0
17
0
18
1/18 = 5
1/18 = 5
17/17 ? 1+1 = 89
Other (7)
0
0
0
1
0
0
14
15
1/15 = 6
2/15 = 13
14/14 ? 1+2 = 82
Total 12 9 22 19 12 18 16 108
Overall LANDSAT-TM classification accuracy = 9 ? 7 ? 17 ? 13 ? 10 ? 17 ? 14/108 = 80 %
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