Table. 1 Method and Accuracy (MSS, TM, SPOT) Classification results.

Classification accuracy(%)	Classification
	Pinus tabulea- forais	larix principis- rupprechtii	betula platyphylla & populus davidina	quercus liaotun- gensis	brush	grass land	Fields	wild land	resi- dentail points	body of water	average accuracy %
MSS754 *	92.5	37.5	85.6	80.8	43.7	78.0	69.0	95.0			77.9
TM453 *	92.0	86.0	77.0	90.0	86.0	43.9	77.0	90.0			84.0
SPOT1 *	91.3		98.4	97.5	91.5	100.0	81.3	88.8			93.2
	Conifer		robinia pesudaocaia	valley shelter forest				bare wild land
SPOT2	89.2		81.5	100.0	90.0	79.2	81.0	86.7	54.6	100	84.7

*Experiment sites of MSS,TM,SPOT1 are in the same region, experiment site of SPOT2 in hilly region.

Table 6 The smallest distinction area in experimental region on Tm SPOT image

Image	TM				SPOT
The smallest distinguished area land type	Minimum resolving ability(ha)				Minimum resolving ability(ha)
	Good background	Number of pixel	Bad background	Number of pixel	Good background	Number of pixel	Bad background	Number of pixel
Conifer	0.37	4.1	0.45	5.0	0.2	5.0	0.3	7.5
Robinia Pesudoacaia	0.6	6.7	1.0	11.1	0.16	4.0	0.2	5.0
Deciduous forest	0.5	5.6	0.8	8.9	0.2	5.0	0.25	6.3
Brush	0.41	4.6	0.6	6.7	0.2	5.0	0.37	9.3
Valley shelter-forest	More than two rows		More than 3 rows		In 2 rows of background ,one rows of large trees can be distinguished.
Grassland	0.2	0.2	0.3	3.3	9.15	1.7	0.2	5.0
Field	0.4	4.4	0.63	7.0	0.25	6.3	0.4	10.0
Bare land	0.2	2.2	0.6	6.7	0.2	5.0	0.45	11.3