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...
Published in: | International Journal of Remote Sensing |
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Language: | English |
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Online Access: | http://hdl.handle.net/2115/43124 https://doi.org/10.1080/01431160802558790 |
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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 |
_version_ |
1766032507685306368 |