Sea ice classification in the Weddell Sea based on scatterometer data  

作　　者：GAO Xiang PANG Xiaoping JI Qing 

机构地区：[1]Chinese Antarctic Center of Surveying and Mapping, Wuhan University [2]Collaborative Innovation Center for Territorial Sovereignty and Maritime Rights, Wuhan University [3]Key Laboratory of Polar Surveying and Mapping,National Administration of Surveying, Mapping and Geoinformation

出　　处：《Advances in Polar Science》2017年第3期196-203,共8页极地科学进展（英文版）

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)

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.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.

关 键 词：sea ice type QUIKSCAT ASPECT Weddell Sea 

分 类 号：P731.15[天文地球—海洋科学]