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

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 S...

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Published in:International Journal of Remote Sensing
Main Authors: Toyota, T., Nakamura, K., Uto, S., Ohshima, K. I., Ebuchi, N.
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis
Subjects:
452
Online Access:http://hdl.handle.net/2115/43124
https://doi.org/10.1080/01431160802558790
id fthokunivhus:oai:eprints.lib.hokudai.ac.jp:2115/43124
record_format openpolar
spelling fthokunivhus:oai:eprints.lib.hokudai.ac.jp:2115/43124 2023-05-15T16:42:03+02:00 Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR Toyota, T. Nakamura, K. Uto, S. Ohshima, K. I. Ebuchi, N. http://hdl.handle.net/2115/43124 https://doi.org/10.1080/01431160802558790 eng eng Taylor & Francis http://hdl.handle.net/2115/43124 International Journal of Remote Sensing, 30(12): 3171-3189 http://dx.doi.org/10.1080/01431160802558790 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: http://www.informaworld.com/openurl?genre=article&issn=0143-1161&volume=30&issue=12&spage=3171 Sea ice Ice thickness L-band synthetic aperture radar (SAR) Topography Surface roughness Seasonal ice zone 452 article (author version) fthokunivhus https://doi.org/10.1080/01431160802558790 2022-11-18T01:01:48Z 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. Article in Journal/Newspaper Icebreaker Sea ice Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP) Okhotsk International Journal of Remote Sensing 30 12 3171 3189
institution Open Polar
collection Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP)
op_collection_id fthokunivhus
language English
topic Sea ice
Ice thickness
L-band synthetic aperture radar (SAR)
Topography
Surface roughness
Seasonal ice zone
452
spellingShingle Sea ice
Ice thickness
L-band synthetic aperture radar (SAR)
Topography
Surface roughness
Seasonal ice zone
452
Toyota, T.
Nakamura, K.
Uto, S.
Ohshima, K. I.
Ebuchi, N.
Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR
topic_facet Sea ice
Ice thickness
L-band synthetic aperture radar (SAR)
Topography
Surface roughness
Seasonal ice zone
452
description 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.
format Article in Journal/Newspaper
author Toyota, T.
Nakamura, K.
Uto, S.
Ohshima, K. I.
Ebuchi, N.
author_facet Toyota, T.
Nakamura, K.
Uto, S.
Ohshima, K. I.
Ebuchi, N.
author_sort Toyota, T.
title Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR
title_short Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR
title_full Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR
title_fullStr Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR
title_full_unstemmed Retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne L-band SAR
title_sort retrieval of sea ice thickness distribution in the seasonal ice zone from air-borne l-band sar
publisher Taylor & Francis
url http://hdl.handle.net/2115/43124
https://doi.org/10.1080/01431160802558790
geographic Okhotsk
geographic_facet Okhotsk
genre Icebreaker
Sea ice
genre_facet Icebreaker
Sea ice
op_relation http://hdl.handle.net/2115/43124
International Journal of Remote Sensing, 30(12): 3171-3189
http://dx.doi.org/10.1080/01431160802558790
op_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: http://www.informaworld.com/openurl?genre=article&issn=0143-1161&volume=30&issue=12&spage=3171
op_doi https://doi.org/10.1080/01431160802558790
container_title International Journal of Remote Sensing
container_volume 30
container_issue 12
container_start_page 3171
op_container_end_page 3189
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