Full text: XVIIIth Congress (Part B7)

  
SWI 
  
140 
  
    
    
  
    
  
  
TM (B3-B4) 
120 
,(PVI) 
N VY 1-0407x £ 140.6 
100 "d So 
SA e a. 8: 
> Ful 9 À 
e Vegetation "« Dry Bare 
S 8 Coverage N Soil 
SD N. N 
a Y 
c) (SWI) Soil Wetness Index (SWI) 
y = 0.9609x - 10.225 SWI= -x - 0.9609y + 20) 
Wet B 
10 s Mi vs Perpendicular 
Cd Vegetation Index (PVI) 
£F PVI= y - 0.9609x + 20 
20 
20 40 60 80 100 120 140 
B3-COUNT(x) 
Fig.2 Soil wetness index (SWI) and perpendicular vegetation index (PVI) 
derived from Landsat TM data acquired on April 29th, 1993. 
  
  
  
  
  
120 
JERS-1/SAR-TM:SWI 
100 | > > 
80 
60 = 
40 . 
2 y = 5.2676x + 131.7 
; V 0. 2/42 
0 : s 
-20 -18 -16 -14 -12 -10 -8 -6 
SAR-NRCS(dB) 
Fig.3 Result of the regression analysis between 
SAR backscatter (NRCS) and SWI. 
686 
80 
70 F 
60 r 
50 | 
40 
30 r 
20 
  
JERS-1/SAR-TM: PVI 
  
ÿ = 6.5908x + 123.52 
Ré = 0.3881 
  
  
  
-14 -12 -10 
SAR-NRCS(dB) 
Fig.4 Result of the regression analysis between 
SAR backscatter (NRCS) and PVI. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996 
 
	        
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