摘要
利用第26次中国南极科学考察期间收集的海冰密集度船基观测资料以及由Landsat-7ETM+得到的海冰密集度来验证AMSR-E南极海冰区海冰密集度产品的精度。AMSR-E海冰密集度与船基目视观测的海冰密集度存在着一定的线性关系(R2=0.816),但两者匹配得并不是很好。与ETM+海冰密集度相比,AMSR-E数据趋向于低估海冰密集度,在25景晴空条件下的ETM+影像中,平均海冰密集度偏差(AMSR-E海冰密集度-ETM+海冰密集度)从-5.33%到-21.5%,而相应的均方根误差RMSE(Root Mean Squared Errors)从13.7%到33.8%。依据Landsat-7ETM+海冰分类,AMSR-E数据海冰密集度最大的误差产生于新冰区。
The purpose of this research is to assess the accuracy of sea ice concentrations derived from AMSR-E data using ship observations from the 26th Chinese National Antarctic Research Expedition （CHINARE） and Landsat-7 ETM＋ Imagery in Antarctic. The comparison of AMSR-E sea ice concentrations with ship observational data indicated a general linear relationship between the two types of observations （R2 = 0.816）, but two types of data didn＇t match each other quite well. AMSR-E tended to underestimate sea ice concentrations （compared to ETM＋ ice concentrations）, with average ice concentration biases ranging from -5.33% to -21.5 % and corresponding Root Mean Square Errors （RMSEs） ranging from 13.7% to 33.8%. For the Landsat-7 ETM＋ sea ice type classification, the largest errors occurred in areas of new ice; in such areas, new ice was recognized as seawater by AMSR-E owing to its emission of passive microwave radiation, which is different to that emitted from other first-year ice.
出处
《遥感学报》
EI
CSCD
北大核心
2013年第3期514-526,共13页
NATIONAL REMOTE SENSING BULLETIN
基金
国家高技术研究发展计划(863计划)(No.2008AA121705)~~
作者简介
（1981-），男，助理研究员，现从事极地海冰遥感的理论和应用研究，已发表论文6篇。E-mail：gisxiying@gmail．com
