Assessment of AMSR-E ASI sea ice concentration using ship observations and Landsat-7 ETM + imagery. [J]. Journal of Remote Sensing 17(3):514-526(2013) DOI: 10.11834/jrs.20132081.
Assessment of AMSR-E ASI sea ice concentration using ship observations and Landsat-7 ETM + imagery
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。
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 26 th 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 l argest 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.
North China Sea Marine Forecasting Center of Ministry of Natural Resources of PRC
Key Laboratory of Ministry of Natural Resource for Marine Environmental Information Technology, National Marine Data and Information Service, Ministry of Natural Resource
Department of Marine Science, Nanjing University of Information Science and Technology
University of Chinese Academy of Sciences
Key Laboratory of Microwave Remote Sensing, National Space Science Center of the Chinese Academy of Sciences