2004 
  
ise 
iction 
forest 
this 
them, 
)ccur. 
B 
were 
forest 
nfirm 
forest 
well. 
ermal 
amsi, 
= Can 
their 
2004) 
s. 
high 
using 
‚his is 
states 
a. 
ming 
F this 
h as; 
le 
ed to 
), and 
ity of 
imum 
pa 
cient | 
)3 
—— 
12 
dem 
— 
$1 
strate 
39 
  
m 
chical 
n and 
orest- 
tween 
- lands 
International Archives of the Photogrammetry, Remote Sensing 
causes dominance of background soil reflectance on reflectance 
of vegetation. On the other hand in wheat fields since July is the 
time that wheat has been harvested hence there is no green 
vegetation and the majority of reflectance related to soil, there is 
confusion between rangelands and wheat field's reflectance. 
REFERENCES 
l-Alavipanah, S. K and M. Masoudi, 2001. Land use mapping 
using Land sat TM data and GIS (Case study: Mouk area, Iran), 
Journal of Agricultural Science and Natural Resources, Gorgan 
University of Agricultural Science and Natural Resources, Vol. 
8, No. 1. 
2-Alavipanah, S. K., and Goossens. R. 1999, The role of TM 
thermal band in describing the state/ str Maximum likelihood 
ess of remote sensing in Iranian Desert. Proceeding of remote 
sensing in the 21st century, economic and environmental 
applications. 19th EARSEL Symposium, University of 
Vallodollid, Spain, 31 May- 2 June 1999, 31-37 P. 
3-Apan, A. A.,1997. Land Cover mapping for tropical forest 
rehabilitation planning using remotely sensed data, Int. J.R. S. 
Vol. 18, No. 5, PP. 1029-1049. 
4-Booth, D. J. and R.B. Oldfield, 1989. A comparison of 
classification algorithms in terms of speed and accuracy after 
303 
and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
the application of a post classification modal filter, Int. Journal 
of Remote Sensing, Vol. 10, No. 7, 1271-1276. 
5-Darvishsefat, Ali, 1997. A comparison of potentiality of Land 
sat TM and SPOT HRV data for forest and forest-stands 
classification, Iranian Journal of Natural Resources. Vol. 50, 
No. 1. 
-Fallah Shamsi, S. R., 1997. Spectral characteristics and 
monitoring of vegetation using satellite data, Ms. Seminar. 
College of Natural Resources, University of Tehran, Iran. 
7 - Gomarasca, M. A., 1993. One century of land use changes in 
the metropolitan area of Milan (Italy), Int. J. Remote Sensing, 
Vol. 14, No. 2, pp. 211-223. 
8 - Hosseini, S. Z., Khajeddin, S. J., Azarnivand, H. and 
Khalilpour S.A., 2004. Utilizing vegetation indices, first and 
fused bands for vegetation cover percentage mapping, National 
Geomatics conference, lanian National Cartographic Center. 
9 - Sabins, F.F., 1996, Remote sensing: principal and 
interpretation 3rd Ed, W.H. Freman and Company, New York., 
494pp. 
10- Stanz, K., Meyer, P., und Itten K. L, 1987. Hierarchical 
classification with knowledge based binary decision, proceeding 
of the IGARSS 87 Symposium, Ann Arbor, pp 97-102. 
I1- Zobeiry, M. and A. R. Majd, 1998. An introduction to 
remote sensing technology and its application in natural 
resources, second edition, University of Tehran, Iran.