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The Cryosphere (TC)
Other literature type . Article . 2018 . Peer-reviewed
License: CC BY
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The Cryosphere (TC)
Article . Preprint . 2018
License: CC BY
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https://doi.org/10.5194/tc-201...
Preprint . 2017
License: CC BY
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The Cryosphere (TC)
Other literature type . 2018
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Estimation of Degree of Sea Ice Ridging Based on Dual-Polarized C-band SAR Data

Authors: Alexandru Gegiuc; Markku Similä; Juha Karvonen; Mikko Lensu; Marko Mäkynen; Jouni Vainio;

Estimation of Degree of Sea Ice Ridging Based on Dual-Polarized C-band SAR Data

Abstract

Abstract. 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.

Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:GE1-350 lcsh:QE1-996.5 lcsh:Geology lcsh:Environmental sciences

Microsoft Academic Graph classification: geography geography.geographical_feature_category C band Reference data (financial markets) Dual polarized Degree (temperature) Arctic Ridge Climatology Sea ice Sea ice concentration Geology Remote sensing

Keywords

Earth-Surface Processes, Water Science and Technology

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    27
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
gold
Funded by
EC| SPICES
Project
SPICES
Space-borne observations for detecting and forecasting sea ice cover extremes
  • Funder: European Commission (EC)
  • Project Code: 640161
  • Funding stream: H2020 | RIA
Validated by funder
,
AKA| Strategic and Operational Risk Management for Wintertime Maritime Transportation System
Project
  • Funder: Academy of Finland (AKA)
  • Project Code: 291683
iis
,
AKA| Kara-Arctic Monitoring and Operation Planning Platform / Consortium: KAMON
Project
  • Funder: Academy of Finland (AKA)
  • Project Code: 283034
iis
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