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Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR

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Title: Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR
Authors: Toyota, T. Browse this author →KAKEN DB
Nakamura, K. Browse this author
Uto, S. Browse this author
Ohshima, K. I. Browse this author →KAKEN DB
Ebuchi, N. Browse this author
Keywords: Sea ice
Ice thickness
L-band synthetic aperture radar (SAR)
Surface roughness
Seasonal ice zone
Issue Date: 20-Jun-2009
Publisher: Taylor & Francis
Journal Title: International Journal of Remote Sensing
Volume: 30
Issue: 12
Start Page: 3171
End Page: 3189
Publisher DOI: 10.1080/01431160802558790
Abstract: 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 (SIZ). 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. To verify this idea, we conducted ship-borne electromagnetic (EM) inductive sounding and supersonic profiling observations with an icebreaker, coordinated with airborne L-band SAR observations in the southern Sea of Okhotsk in February 2005. The surface elevation was estimated by representing the ship's motion with a low-pass filter. Backscattering coefficients 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.
Rights: This is an electronic version of an article published in International Journal of Remote Sensing, 30(12) 2009, 3171-3189. International Journal of Remote Sensing is available online at:
Type: article (author version)
Appears in Collections:低温科学研究所 (Institute of Low Temperature Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 豊田 威信

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