, 4 
A comparision between results of the computer classification 
and from field survey in this area is given in Tabel 4. 
C 1 
9 r 
ssses of 
issi and 
Area of 
computer 
classifica 
tion 
( ha ) 
Area of 
field 
survey 
*1 ‘ 
( ha ) 
conformable 
percentage 
(%> 
Statistical 
area 
* 
2 
( ha ) 
confor- 
a b 1 e 
percen 
tage 
(%) 
C r 
issi and 
35928 
37090 
96.87 
38423 
93.51 
Bus 
9 r 
h 
issi and 
31277 
28361 
90.68 
26172 
83.6 
Woe 
9 r 
d 
issi and 
59231 
60840 
97.36 
63018 
93.99 
1 
'otal 
126436 
126291 
99.89 
127613 
99.07 
*1 From livestock burean of Llchuan, 
*2 From livestock burean of Hubei. 
TABLE 4. Area comparison for each kind of grassland between 
the computer classfication and field indent ification. 
3-2-4 Classification based on grass format 
In the third level classification we use traditional methods 
such as 1) collecting sample-square of grass. 2) makeing specimen 
of forage grass.3) recognizing and extracting superior species of 
forage grass in grass format. Table 5. show grass types of 3 large 
stretches of grassland. 
Ne 
gre 
ime of 
issi and 
Elevation 
( m ) 
Forage grass tape 
1 
lane h i 
1910-1951 
Anaphalis contocta-Arthraxon hispidus- 
Eriophorum conosum-Pteridium aquilinum- 
Viburnura macrocephalum fortums- 
Artemisia apiacea hance 
1 
iashan 
1500-1700 
Miscanthus sinensis arderss- 
Pterldium aqui 1 inum-Anapha 1 is contocta- 
Paspalum thunbergii 
> 1700 
Anaphalis contocta-Pter1diurn aquilinam- 
Cacalla tangutica-Arthr axon hispidus- 
Imperate cylindrica 
Q i i 
eushan 
1543-1784 
Miscanthus sinensis arderss- 
Cotonease adpressusbois- 
Eriophorum canosum-Artemisia apiacea hanc- 
Anaphalis contocta-Sallx dunnii ochneid- 
Arthraxon hispidus -Pteridium aquilinum 
'm 
Table 5. Forage grass types in 3 large grassland 
4 APPLICATION OF MATCHED MULTI-DATA IN EVALUATION OF GRASS RESOURSE 
4-1 PROCEDURE OF GRASS RESOURCE EVALUATION 
197 
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