Full text: Proceedings of the Symposium on Global and Environmental Monitoring (Pt. 1)

590 
Table 1 Categories and their areas of test site a. 
44 CATEGORY 
PIXEL 
PERCENTAGE 
5 MEJOR CATEGORY 
PIXEL 
PERCENTAGE 
conifer trees 
360 
1. 0 7 
broad leaved trees 
1283 
3. 8 1 
nixed forest 
3 7 4 
1. 1 1 
TREE 
228 1 
6. 78 
baaboo 
5 5 
0. 16 
others 
2 0 9 
0. 6 2 
paddy 
3 2 4 1 
9. 63 
PADDY 
3 2 4 1 
9. 63 
fan 
4 6 6 9 
1 3. 8 7 
milberry field 
3 
0. 0 1 
orchard 
3 2 3 
0. 96 
other tree field 
34 
0. 10 
vinyl hothouse 
14 9 
0. 4 4 
hothouse 
1 8 
0. 05 
others 
7 
0. 02 
range land 
13 7 3 
4. 0 8 
grass land 
14 0 
0. 42 
gravel 
1 6 
0. 0 5 
sands 
5 12 
1. 52 
OTHERS 
9 6 5 1 
28. 67 
ordered land 
9 3 
0. 23 
lawn 
2 0 4 
0. 6 1 
golf links 
0 
0. 0 0 
open yard 
4 10 
1. 22 
parking area 
9 4 
0. 2 8 
park 
2 5 9 
0. 77 
concrete 
9 2 
0. 27 
tetra pot 
1 1 
0. 0 3 
grave yard 
12 8 
0. 38 
ground 
10 4 0 
3. 0 9 
tennis court(clay) 
3 9 
0. 12 
others 
36 
0. 1 1 
houses with garden 
14 4 0 
4. 2 8 
houses without garden 
8 2 9 0 
2 4. 6 3 
high density urban area 
2 4 6 2 
7. 31 
buildings (school, hospital. 
117 9 
3. 5 0 
codoniniun etc.) 
factory 
5 0 9 
1. 51 
URBAN 
16 7 9 5 
49. 90 
lumberyard 
5 7 
0. 17 
warehouse 
6 5 
0. 1 9 
road 
2 3 4 9 
6. 98 
railway 
2 8 5 
0. 85 
railway station 
3 
0. 0 1 
others 
15 6 
0. 46 
pond 
1 5 
0. 0 4 
river 
12 18 
3. 6 2 
WATER 
1691 
5. 0 2 
pool 
1 4 
0. 0 4 
sea 
4 4 4 
1. 32 
Table 2 Categories and their areas of test site b. 
44 CATEGORY 
PIXEL 
PERCENTAGE 
5 MEJOR CATEGORY 
PIXEL 
PERCENTAGE 
conifer trees 
14 7 2 
2. 
7 5 
broad leaved trees 
6 9 7 7 
1 3. 
0 2 
nixed forest 
3 7 4 
0. 
7 0 
TREE 
9 0 8 7 
16. 9 6 
banboo 
55 
0. 
1 0 
others 
209 
0. 
3 9 
paddy 
69 8 5 
1 3. 
04 
PADDY 
6 9 8 5 
1 3. 0 4 
fan 
4 669 
8. 
7 2 
nulberry field 
3 
0. 
0 1 
orchard 
323 
0. 
6 0 
other tree field 
3 4 
0. 
0 6 
vinyl hothouse 
14 9 
0. 
2 8 
hothouse 
1 8 
0. 
0 3 
others 
7 
0. 
0 1 
range land 
13 7 3 
2. 
5 6 
grass land 
14 0 
0. 
2 6 
gravel 
1 6 
0. 
0 3 
sands 
5 12 
0. 
9 6 
OTHERS 
110 8 9 
2 0. 7 0 
ordered land 
9 3 
0. 
1 7 
lawn 
2 0 4 
0. 
3 8 
golf links 
14 3 8 
2. 
6 8 
open yard 
4 10 
0. 
7 7 
parking area 
9 4 
0. 
1 8 
park 
2 5 9 
0. 
4 8 
concrete 
92 
0. 
1 7 
tetra pot 
1 1 
0. 
0 2 
grave yard 
12 8 
0. 
2 4 
ground 
10 4 0 
1. 
9 4 
tennis court(clay) 
39 
0. 
0 7 
others 
3 6 
0. 
0 7 
houses with garden 
14 4 0 
2. 
69 
houses without garden 
8 2 9 0 
1 5. 
4 7 
high density urban area 
2 4 6 2 
4. 
6 0 
buildings (school, hospital. 
117 9 
2. 
2 0 
codoniniun etc.) 
factory 
118 4 
2. 
2 1 
URBAN 
1 7 4 7 0 
3 2. 6 1 
lumberyard 
5 7 
0. 
1 1 
warehouse 
6 5 
0. 
1 2 
road 
2 3 4 9 
4. 
3 8 
railway 
2 8 5 
0. 
5 3 
railway station 
3 
0. 
0 1 
others 
15 6 
0. 
2 9 
pond 
1 5 
0. 
0 3 
river 
15 5 3 
2. 
9 0 
WATER 
8 9 4 0 
1 6. 6 9 
pool 
1 4 
0. 
03 
sea 
7 3 5 8 
1 3. 
7 4
	        
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