Evaluation of SSM/I and AMSR-E sea ice concentrations in the antarctic spring using KOMPSAT-1 EOC images

被引:11
作者
Lee, Hoonyol [1 ]
Han, Hyangsun [1 ]
机构
[1] Kangwon Natl Univ, Dept Geophys, Chunchon 200701, South Korea
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2008年 / 46卷 / 07期
关键词
Advanced Microwave Scanning Radiometer-EOS (AMSR-E); electronic optical camera (EOC); ice type C; image analysis; Korea Multi-Purpose Satellite-1 (KOMPSAT-1); new ice; passive microwave; sea ice; sea ice concentration (SIC); spatiotemporal standard deviation; Special Sensor Microwave/Imager (SSM/I); thin ice; young ice;
D O I
10.1109/TGRS.2008.916479
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
To evaluate sea ice concentrations (SICs) from the Special Sensor Microwave/Imager (SSM/I) and Advanced Microwave Scanning Radiometer-EOS (AMSR-E), we observed sea ice with the 6-m-resolution panchromatic electronic optical camera (EOC) sensor onboard the Korea Multi-Purpose Satellite-1 (KOMPSAT-1). A total of 68 cloud-free EOC images were obtained across the Antarctic continental edges from September to November 2005. Sea ice types in the EOC images were classified into white ice (W), gray ice (G), and dark-gray ice (D) and then compared with SSM/I and AMSR-E SICs. Spatiotemporal standard deviation of passive microwave SIC proved useful in selecting temporally stable and spatially homogeneous SICs to overcome the diurnal variation of sea ice in the analysis of data from multiple satellites. In the Antarctic spring, the EOC SIC of W + G showed the best fit to SSM/I SIC calculated by the NASA Team (NT) algorithm (mean difference of -2.3% and rmse of 3.2%), whereas that of W + G + D showed the best fit to AMSR-E SIC calculated by the NT2 algorithm (mean difference of 0.3% and rinse of 1.4%). It is concluded that the SSM/I NT algorithm responds to young ice in addition to the ice types A and B, whereas the AMSR-E NT2 algorithm detects ice type C and thin ice as well. The 4.7% difference of SICs between AMSR-E and SSM/I was attributed to the enhanced detection of ice type C (2.1%) and thin ice (2.6%) of the AMSR-E NT2 algorithm.
引用
收藏
页码:1905 / 1912
页数:8
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