气候变化领域集成服务门户(CCPortal): Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data

CCPortal

DOI	10.5194/tc-12-343-2018
	Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
	Gegiuc A.; Similä M.; Karvonen J.; Lensu M.; Mäkynen M.; Vainio J.
发表日期	2018
ISSN	19940416
卷号	12 期号:1
英文摘要	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. © Author(s) 2018.
学科领域	algorithm; estimation method; field survey; ice cover; ice ridge; ice thickness; navigation; optimization; polarization; radar imagery; RADARSAT; sea ice; synthetic aperture radar; Arctic Ocean; Atlantic Ocean; Baltic Sea
语种	英语
scopus关键词	algorithm; estimation method; field survey; ice cover; ice ridge; ice thickness; navigation; optimization; polarization; radar imagery; RADARSAT; sea ice; synthetic aperture radar; Arctic Ocean; Atlantic Ocean; Baltic Sea
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119229
作者单位	Finnish Meteorological Institute (FMI), Marine Research, Erik Palménin aukio 1, Helsinki, 00560, Finland
推荐引用方式 GB/T 7714	Gegiuc A.,Similä M.,Karvonen J.,et al. Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data[J],2018,12(1).
APA	Gegiuc A.,Similä M.,Karvonen J.,Lensu M.,Mäkynen M.,&Vainio J..(2018).Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data.Cryosphere,12(1).
MLA	Gegiuc A.,et al."Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data".Cryosphere 12.1(2018).