Digitial elevation
model for terrain
correction
Since as on today no
nationwide digitial
elevation model
(DEM) on appropriate
scale is available,
a local DEM was
computed based on
about 130 spot heights
in the area. These
elevation data have
been gridded by using
least square collocation
(LSC) technique with
second order Markov
covariance function(Fig.4(a)). The
DEM was generated in a grid of 15 X
15 arc second and tested for observed
heights versus the interpolated heights.
In general these spot heights were
found to be in good agreement with
the interpolated DEM heights.
Methodology
The methodology for geoid
computation was based
on remove –compute– restore technique as
described in sec.2. and can
be summarized as follows:
• Remove the long
wave length part
of EGM96 global
geopotential model
and terrain effect
from the observed
free air gravity
anomalies to derive
residual gravity
anomalies(Fig.5).
• Compute
the residual
undulations NRES
of the geoid
by numerical
integration
of Stokes integral (Eqn.1) using reduced
gravity anomaly data.
• Restore the long wavelength
effect NEGM96 and residual
terrain effect NRTM to get final
geoidal undulation N that is:
N = NEGM96 + NRTM + NRES
|