利用FY-3卫星MWRI数据探测海冰分布  

Sea Ice Distribution Detection Based on FY-3 Satellite MWRI Data

作　　者：吴展开 王星东[1,2] 王成 WU Zhankai;WANG Xingdong;WANG Cheng(College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China)

机构地区：[1]河南工业大学信息科学与工程学院,河南郑州450001 [2]中国科学院遥感与数字地球研究所,北京100094

出　　处：《测绘通报》2018年第10期56-60,65,共6页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金(41606209);中国科学院海洋环流与波动重点实验室开放基金(KLOCW1805);国家海洋局海洋大气化学与全球变化重点实验室开放基金(GCMAC1605);医学光电科学与技术教育部重点实验室开放基金(JYG1707)

摘　　要：基于风云3卫星(FY-3)微波成像仪(MWRI) 19 GHz数据提出了一种探测北极海冰分布的新方法,即利用海水和海冰在19 GHz频段极化差异最大的特性,通过大津法(Otsu算法)对19 GHz的极化差进行处理得到海水和海冰分类阈值,进而获取海冰分布。以2016年1月数据为例进行结果反演,并与美国冰雪数据中心(NSIDC)提供的结果进行了对比验证。结果表明:基于MWRI数据得到的1月平均海冰范围为12.905×106km^2,NSIDC结果为13.493×106km^2,二者仅差4.35%;且二者海冰范围日增长率比较接近,分别为0.038 4×10~6和0.041 9×106km^2。因此基于19 GHz极化差结合Otsu算法的北极海冰分布探测方法是可行的。Based on the MWRI 19 GHz data from the FY-3 microwave imager（ MWRI）,a new method for detecting the distribution of Arctic sea ice is proposed,using the most polarized characteristics of seawater and sea ice at 19 GHz.Then the polarization difference of 19 GHz is processed by Otsu algorithm to get the classification threshold of seawater and sea ice,and the Arctic sea ice distribution is obtained.The results of sea ice distribution are obtained by taking the data of January 2016 as an example to verify the distribution results of Arctic ice distribution with the North American Ice Data Center（ NSIDC）.The results show that the average sea ice extent in January based on FY-3 MWRI is 12.905×10^6 km2,and the sea ice extent provided by NSIDC is 13.493×106 km2,only a difference of 4.35%.And the daily growth rate of the sea ice extent are 0.038 4× 10^6 and 0.041 9× 106 km2,respectively.Therefore,it is feasible to detect Arctic sea ice distribution based on the difference of 19 GHz vertical polarization and horizontal polarization combined with Otsu algorithm.

关 键 词：FY-3 OTSU算法 海冰分布 极化差 MWRI 

分 类 号：P237[天文地球—摄影测量与遥感]