Full text: Proceedings, XXth congress (Part 8)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 
(Table 4) The resulted correlation coefficients of the field data 
with image data 
Vegetation Correlation Vegetation Correlation 
Hidex or coefficient Indeseot coefficient 
Band Band 
IR2 0.19 B3FU -0.087 
MIR 0.184 B4 0.147 
MND 0.329% B4FU 0.018 
MSI 0.111 B5 0.154 
NDVI 0:320* B5FU -0.053 
NIR 0.322% B6L -0.044 
RA 0.127 B6LFU -0.006 
SAVI 0.329% B6H -0.200 
TVI 0.329* B6HFU 0.003 
IRI -0.092 B7 0.112 
VNIRI 0.302 B7FU -0.242 
VNIR2 0.335* B8 -0.038 
PD311 -0.135 HYB2 -0.214 
PD312 -0.130 HYB3 -0.234 
PD321 -0.80 HYB4 (:38]** 
PD322 -0.034 VII 0.150 
MIRVI 0.309* VI2 -0.148 
MIRV2 0.352* VI3 -0.392** 
MINI 0.019 VIA -0.270** 
BI -0.114 VIS -0.027 
BIFU 0.184 VI6 -0.055 
B2 -0.147 VI7 -0.069 
B2FU -0.012 
B3 -0.132 
* Significantly at P=5% and ** significantly at P=1% 
FU= fused band using HIS method 
HYB- fused band using spectral response method 
The results of stepwise regression analysis are shown in Table 
(4). On the basis of this table contents, it is possible to create a 
model to predict the percentage cover over the whole studied 
Table -4- Results of step wise regression analysis 
R? Mean of Degree of Source of Variable 
Squares freedom Variation 
Regression NIS 
1256.03 4 B7FU 
0.64 Enter HYB4 
80.71 35 B5FU 
The suggested model is: 
Y= percentage cover, 
B6H= band 6 high gain, 
BSFU= fused band 5 using HIS method , 
B7FU= fused band 7 using HIS method 
HYB4= fused band 4 using spectral response method 
Sepehri (2000) applied the mentioned vegetation indices in 
Jahannema area, Gorgan, Iran and also Boyd et al (1996) and 
Sepehri et al (1998) used these indices as well. They expressed 
since there are high variations among cover data, so the 
vegetation indices are not much applicable to asses the 
vegetation cover. Among the examined indices, VI3 has highest 
correlation coefficient with vegetation cover (r=39.2%). Also 
the Sepehri et al (1998) and Boyd et al (1996), researches have 
reched the similar results. And the same results have been 
discussed for the VI6 vegetation index. NDVI has positive 
correlation with vegetation cover because of the high spectral 
reflectance of vegetation cover in band 4. Khajeddin in 1995 
has proved that NDVI is one of the indices that have correlation 
with vegetation cover at Jazmourian area. The low correlation 
coefficient between NDVI and vegetation cover is due to soil 
back ground (Apan et al 19997). MIRV2 has a high correlation 
with vegetation cover (r=35%). It seems that, the high 
vegetation reflectance on near infrared region is responsible to 
this point. Hyb4, created from merging panchromatic band with 
band 4, 3 and 2 data, has correlation with vegetation cover 
(P=1%). Considering the fusion algorithm in spectral responses, 
the spectral reflectance of Hyb4 is very similar to band 4. In 
addition, the latter spectral region of the vegetation reflectance 
is considerable; therefore this band could be used frequently to 
estimate vegetation cover. 
I- Apan, A. A., 1997. Land Cover mapping for tropical forest 
rehabilitation planning using remotely sensed data, Int. J.R. 5., 
Vol. 18, No. 5, PP. 1029-1049. 
2- Boyd, D.S., Foody, G.M., Curran, P.J., Lucus, R.M. and 
Klonzak, M., 1996. An assessment of radiance in landsat TM 
middle and thermal infrared warebands for the detection of 
tropical forest.rgeneration. Intl.J. Remote sensing, Vol. 17, No. 
2, 249-261. 
3- Hosseini, S. Z., 2003. Investigation on capability of ETM+ 
data for land use mapping, Ms thesis, College of Natural 
resources, University of Tehran, Iran 
4- 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. 
5- Khajeddin, S.J., 1995. A survey of the plant comunities of 
the Jazmorian, IRAN, using Landsat MSS data. Ph. D. thesis 
University of Reading 
6- Langford, M, 1997. Landcover mapping in a tropical hillsides 
in environment, a case study in the Caucau region of Colombia, 
Int. J. Remote Sensing, Vol. 18, No., 6. 
7- Sepehri, A. and M. R. Mottaghi, 2002. Application of 
vegetation indices for assessing rangelands cover percentage of 
Jahannema protected area - Gorgan (Iran), Iranian Journal of 
Natural Resources, Vol. 55, No. 2. 
8- Leeuwen, W. J. D and A. R. Hute, 1996. Effect of standing 
litter on the biophysical interpretation of plant canopies with 
spectral indices, Remote Sensing of Environment, 55:123-13 

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