8. CONCLUSIONS
In this study the authors have investigated the possibility of
estimating thin ice thickness with high resolution optical sensor
RSI. The comparison with in situ measurements proved that ice
thickness up to 20cm could be estimated with visible and near
IR band data of RSI under the snow less and cloud free
condition. The comparison of RSI data with MODIS data
suggested the possibility of estimating thin ice area with
MODIS images. Accordingly, MODIS images were used to
select sample areas of thin ice. By comparing AMSR-E
brightness temperatures characteristics of thin ice area with
other sea ice type areas, the authors have introduced the scatter
plots of AMSR-E (19GHz V-19GHz H) versus 37GHzV for
extracting thin sea ice area. The extracted thin sea ice areas
were validated by comparing with MODIS images. The result
proved the effectiveness of this methodology. The authors are
now examining the possibility of applying this methodology to
the other sea ice zones.
ACKNOWLEDGEMENT
This study was supported by JAXA under the framework of
GCOM-WI| Project. The FORMOSAT-2 data were provided
from NSPO. The authors would like to thank JAXA and NSPO
for their kind support.
REFERENCES
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Allison, I., “East antarctic sea ice: albedo, thickness
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2) Allison, L, *East antarctic sea ice: albedo, thickness
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3) Perovich, D. K. and T. C. Grenfell, “A theoretical
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4) Grenfell, T. C., “A theoretical model of the optical
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6) Cho, K., Y. Mochiduki, Y. Yoshida, M. Nakayama, K. Naoki,
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
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