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.