The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
2.3 Method 
First one We had need radiometric calibration relation with 
specially our study area and estimate quantity on the original 
data of PALSAR (fig 2.3). 
<7° = 20 log(ZW / DN ma ) / Tetuko 2002 / 
<j° = ah 
Figure 2.5. Figure of Backscattered Coefficient the Deglii 
Tsgaan Mountain around 
Snow cover depth illustrate to classification by figure of 
Backscattered coefficient. 
Figure 2.3. ALOS/PALSAR original data /2007/09/18/ 
Radiometric calibration setup is displayed fig 2.4. Further we 
determinant snow cover depth on land surface. Therefore we 
need perpendicular to this surface with scattering ray contain 
informations. So we using padar ray the surface perpendicular 
projection (eq.l). 
DN C - DN * cos(# - (fj) (l) 
Were: (p - main angle of oblique surface, 
0- Radar ray insident angle 
3. RESULTS 
ALOS/PALSAR data using glassier thickness determane model 
demonstrate. This model using exact study area Kharkhiraa 
.2). 
-42-23 
-22-18 
-17-15 
■m 
-7-5 
-4-3 
-2-1 
0 
Figure 2.4. Radiometric calibration setup. 
Next one, This calibration and refinement finished then the 
Backscattered Coefficient calculation by eq.(2). This coefficient 
is contained surface depth information. The coefficient is main 
parameter contained depth information for radar data (fig 2.5). 
The coefficient found by Eq.(2) is direct related with snow 
cover depth the surface. Eq.(3) contianed a- coefficient will be 
determane to using in-situ data. Eq.(2) is calculated by 
simulation method relation the surface properties. 
Figure 3.1 Illustrate of Snow cover depth the Deglii Tsgaan 
Mountain around 
Figure 3.2. Snow cover depth illustrate Kharkhiraa Turgen 
Mountains.