首页 >  2013, Vol. 17, Issue (3) : 514-526

摘要

全文摘要次数: 5295 全文下载次数: 48
引用本文:

DOI:

10.11834/jrs.20132081

收稿日期:

2012-03-09

修改日期:

2012-05-24

PDF Free   HTML   EndNote   BibTeX
利用船测数据以及Landsat-7 ETM+影像评估南极海冰区AMSR-E海冰密集度
中国极地研究中心, 上海 200136
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-7 ETM+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-7 ETM+ 海冰分类,AMSR-E数据海冰密集度最大的误差产生于新冰区。

Assessment of AMSR-E ASI sea ice concentration using ship observations and Landsat-7 ETM+imagery
Abstract:

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.

本文暂时没有被引用!

欢迎关注学报微信

遥感学报交流群