Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data

For ship navigation in the Baltic Sea ice, parameters such as ice edge, ice concentration, ice thickness and degree of ridging are usually reported daily in manually prepared ice charts. These charts provide icebreakers with essential information for route optimization and fuel calculations. However...

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Published in:The Cryosphere
Main Authors: Gegiuc, Alexandru, Similä, Markku, Karvonen, Juha, Lensu, Mikko, Mäkynen, Marko, Vainio, Jouni
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-12-343-2018
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00007465 2023-05-15T14:58:31+02:00 Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data Gegiuc, Alexandru Similä, Markku Karvonen, Juha Lensu, Mikko Mäkynen, Marko Vainio, Jouni 2018-01 electronic https://doi.org/10.5194/tc-12-343-2018 https://noa.gwlb.de/receive/cop_mods_00007465 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007422/tc-12-343-2018.pdf https://tc.copernicus.org/articles/12/343/2018/tc-12-343-2018.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-12-343-2018 https://noa.gwlb.de/receive/cop_mods_00007465 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007422/tc-12-343-2018.pdf https://tc.copernicus.org/articles/12/343/2018/tc-12-343-2018.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2018 ftnonlinearchiv https://doi.org/10.5194/tc-12-343-2018 2022-02-08T22:58:31Z For ship navigation in the Baltic Sea ice, parameters such as ice edge, ice concentration, ice thickness and degree of ridging are usually reported daily in manually prepared ice charts. These charts provide icebreakers with essential information for route optimization and fuel calculations. However, manual ice charting requires long analysis times, and detailed analysis of large areas (e.g. Arctic Ocean) is not feasible. Here, we propose a method for automatic estimation of the degree of ice ridging in the Baltic Sea region, based on RADARSAT-2 C-band dual-polarized (HH/HV channels) SAR texture features and sea ice concentration information extracted from Finnish ice charts. The SAR images were first segmented and then several texture features were extracted for each segment. Using the random forest method, we classified them into four classes of ridging intensity and compared them to the reference data extracted from the digitized ice charts. The overall agreement between the ice-chart-based degree of ice ridging and the automated results varied monthly, being 83, 63 and 81 % in January, February and March 2013, respectively. The correspondence between the degree of ice ridging reported in the ice charts and the actual ridge density was validated with data collected during a field campaign in March 2011. In principle the method can be applied to the seasonal sea ice regime in the Arctic Ocean. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice The Cryosphere Niedersächsisches Online-Archiv NOA Arctic Arctic Ocean The Cryosphere 12 1 343 364
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Gegiuc, Alexandru
Similä, Markku
Karvonen, Juha
Lensu, Mikko
Mäkynen, Marko
Vainio, Jouni
Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
topic_facet article
Verlagsveröffentlichung
description For ship navigation in the Baltic Sea ice, parameters such as ice edge, ice concentration, ice thickness and degree of ridging are usually reported daily in manually prepared ice charts. These charts provide icebreakers with essential information for route optimization and fuel calculations. However, manual ice charting requires long analysis times, and detailed analysis of large areas (e.g. Arctic Ocean) is not feasible. Here, we propose a method for automatic estimation of the degree of ice ridging in the Baltic Sea region, based on RADARSAT-2 C-band dual-polarized (HH/HV channels) SAR texture features and sea ice concentration information extracted from Finnish ice charts. The SAR images were first segmented and then several texture features were extracted for each segment. Using the random forest method, we classified them into four classes of ridging intensity and compared them to the reference data extracted from the digitized ice charts. The overall agreement between the ice-chart-based degree of ice ridging and the automated results varied monthly, being 83, 63 and 81 % in January, February and March 2013, respectively. The correspondence between the degree of ice ridging reported in the ice charts and the actual ridge density was validated with data collected during a field campaign in March 2011. In principle the method can be applied to the seasonal sea ice regime in the Arctic Ocean.
format Article in Journal/Newspaper
author Gegiuc, Alexandru
Similä, Markku
Karvonen, Juha
Lensu, Mikko
Mäkynen, Marko
Vainio, Jouni
author_facet Gegiuc, Alexandru
Similä, Markku
Karvonen, Juha
Lensu, Mikko
Mäkynen, Marko
Vainio, Jouni
author_sort Gegiuc, Alexandru
title Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
title_short Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
title_full Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
title_fullStr Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
title_full_unstemmed Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
title_sort estimation of degree of sea ice ridging based on dual-polarized c-band sar data
publisher Copernicus Publications
publishDate 2018
url https://doi.org/10.5194/tc-12-343-2018
https://noa.gwlb.de/receive/cop_mods_00007465
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007422/tc-12-343-2018.pdf
https://tc.copernicus.org/articles/12/343/2018/tc-12-343-2018.pdf
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
The Cryosphere
genre_facet Arctic
Arctic Ocean
Sea ice
The Cryosphere
op_relation The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424
https://doi.org/10.5194/tc-12-343-2018
https://noa.gwlb.de/receive/cop_mods_00007465
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007422/tc-12-343-2018.pdf
https://tc.copernicus.org/articles/12/343/2018/tc-12-343-2018.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/tc-12-343-2018
container_title The Cryosphere
container_volume 12
container_issue 1
container_start_page 343
op_container_end_page 364
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