57A118
Retrieval of sea-ice thickness distribution in the Sea of
Okhotsk from ALOS/PALSAR backscatter data
Takenobu Toyota, Shuji Ono, Kohei Cho, Kay I. Ohshima
Corresponding author: Takenobu Toyota –
toyota@lowtem.hokudai.ac.jp
Although it is known that satellite data are useful for
obtaining ice-thickness distribution for perennial sea ice or in stable thin
sea-ice areas, it is still an unresolved issue for the seasonal sea-ice zone. In
this study, we approach the problem of ice-thickness retrieval by using L-band
synthetic aperture radar (SAR). In the SIZ, ice-thickness growth is closely
related to the ridging activity and therefore surface roughness is expected to
be correlated with ice thickness. L-band SAR is suitable for detecting such
surface roughness and therefore is expected to be a good tool for obtaining
thickness distribution. However, the available L-band SAR data have been very
limited so far. To verify this idea, we conducted the measurements of ice
thickness and surface roughness with the PV
‘Soya’, coordinated with
airborne L-band SAR observations (horizontal resolution = 3 m) in February 2005
in the southern Sea of Okhotsk and confirmed that backscatter coefficients
represent surface roughness well and resultantly have a good correlation with
ice thickness. To further extend this result to ALOS/PALSAR whose horizontal
resolution is 100 m, we conducted the first concurrent observation of ice
thickness, surface roughness and satellite L-band SAR with the same ship in the
same area in February 2008. The surface elevation was estimated with a
heli-borne laser profiler, and ice thickness was measured by a ship-borne video
monitoring system. To correct the slight difference in observation time, the
effect of sea-ice drift was also taken into account. As a result, it was found
that whereas it is difficult to discriminate sea ice from open water only from a
single polarization SAR data, in the sea-ice area which was selected from video
data backscatter coefficients are correlated well with ice thickness and surface
roughness, defined by standard deviation of surface elevation. This result sheds
light on the possibility of determining ice-thickness distribution in the SIZ.
The regression obtained from this analysis allowed us to depict the
ice-thickness distribution in the wide area. The results will also be
discussed.
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