| ZOU Juhong,ZENG Tao,GUO Maohua,CUI Songxue. 2016. The study on an Antarctic sea ice identification algorithm of the HY-2A microwave scatterometer data. Acta Oceanologica Sinica, 35(9):74－79 |
| The study on an Antarctic sea ice identification algorithm of the HY-2A microwave scatterometer data |
| 海洋二号微波散射计极地海冰识别算法研究 |
| Received:April 13, 2015 Revised:August 05, 2015 |
| DOI：10.1007/s13131-016-0927-5 |
| Key words:HY-2A scatterometer sea ice identification Antarctic |
| 中文关键词: 海洋二号 微波散射计 海冰识别 极地 |
| 基金项目: |
| Author Name | Affiliation | E-mail | | ZOU Juhong | National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China | zoujuhong@mail.nsoas.org.cn | | ZENG Tao | National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China | | | GUO Maohua | National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China | | | CUI Songxue | National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China | |
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| Abstract: |
| An Antarctic sea ice identification algorithm on the HY-2A scatterometer (HSCAT) employs backscattering coefficient (σ0) and active polarization ratio (APR) for a preliminary sea ice identification. Then standard deviation (STD) filtering and space filtering are carried out. Finally, it is used to identify sea ice. A process uses a σ0, STD threshold and an APR as sea ice indicators. The sea ice identification results are verified using the sea ice distribution data of the ASMR2 released by the National Snow and Ice Data Center as a reference. The results show very good consistence of sea ice development trends, seasonal changes, area distribution, and sea ice edge distribution of the sea ice identification results obtained by this algorithm relative to the ASMR2 sea ice results. The accuracy of a sea ice coverage is 90.8% versus the ASMR2 sea ice results. This indicates that this algorithm is reliable. |
| 中文摘要: |
| 本文对海洋二号（HY-2A）微波散射计极地海冰识别算法进行了研究。该算法以后向散射系数、STD阈值和APR作为海冰识别的指标，首先利用后向散射系数阈值和极化比的海冰识别，在此基础上分别进行方差滤波和空间滤波，最终得出海冰分布结果。以美国雪冰中心发布的微波辐射计海冰分布产品为参考，对本文的海冰识别结果进行验证，结果表明，本文算法所得海冰识别结与SSMI海冰结果在海冰发展趋势，季节变化、面积分布和外缘线分布上都具有很好的一致性，其海冰面积识别的准确率相对SSMI海冰结果优于91%。 |
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