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Sea ice classification in the Weddell Sea based on scatterometer data

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【作者】 GAO XiangPANG XiaopingJI Qing

【Author】 GAO Xiang;PANG Xiaoping;JI Qing;Chinese Antarctic Center of Surveying and Mapping, Wuhan University;Collaborative Innovation Center for Territorial Sovereignty and Maritime Rights, Wuhan University;Key Laboratory of Polar Surveying and Mapping,National Administration of Surveying, Mapping and Geoinformation;

【机构】 Chinese Antarctic Center of Surveying and Mapping, Wuhan UniversityCollaborative Innovation Center for Territorial Sovereignty and Maritime Rights, Wuhan UniversityKey Laboratory of Polar Surveying and Mapping,National Administration of Surveying, Mapping and Geoinformation

【摘要】 Sea ice type is an important factor for accurately calculating sea ice parameters such as sea ice concentration, sea ice area and sea ice thickness using satellite remote sensing data. In this study, sea ice in the Weddell Sea was classified from scatterometer data by the histogram threshold method and the Spreen model method, and evaluated and validated with the Antarctic Sea Ice Processes and Climate(ASPeCt) sea ice type ship-based observations. The results show that the two methods can both distinguish multi-year(MY) ice and first-year(FY) ice during the ice growth season, and that the histogram threshold method has a relatively larger MY ice classification extent than the Spreen model. The classification accuracy of the histogram threshold method is 77.8%, while the Spreen model method accuracy is 80.3% compared with the ship-based observations, thus indicating that the Spreen model method is better for discriminating MY ice from FY ice from scatterometer data. These results provide a basis and reference for further retrieval of long-time sea ice type information for the whole Antarctica.

【基金】 the supports from the National Natural Science Foundation of China (Grant nos. 41606215 and 41576188);the National Key Research and Development Program of China (Grant no. 2017YFA0603104);the fund of SOA Key Laboratory for Polar Science (Grant no. PS1502);the fund of Key Laboratory of Global Change and Marine-Atmospheric Chemistry, SOA (Grant no. GCMAC1504);the Fundamental Research Funds for the Central Universities (Grant no. 2042016kf0038);the Chinese Postdoctoral Science Foundation Funded Project (Grant no. 2016M602342)
【所属期刊栏目】 Articles (2017年03期)
  • 【DOI】10.13679/j.advps.2017.3.00196
  • 【分类号】P731.15
  • 【下载频次】15
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