DOI: 10.5194/tc-12-343-2018
Scopus记录号: 2-s2.0-85041209248
论文题名: Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data
作者: Gegiuc A ; , Similä M ; , Karvonen J ; , Lensu M ; , Mäkynen M ; , Vainio J
刊名: Cryosphere
ISSN: 19940416
出版年: 2018
卷: 12, 期: 1 起始页码: 343
结束页码: 364
语种: 英语
英文关键词: 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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75431
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Finnish Meteorological Institute (FMI), Marine Research, Erik Palménin aukio 1, Helsinki, Finland
Recommended Citation:
Gegiuc A,, Similä M,, Karvonen J,et al. Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data[J]. Cryosphere,2018-01-01,12(1)