• DocumentCode
    1223084
  • Title

    Evaluation of SSM/I and AMSR-E Sea Ice Concentrations in the Antarctic Spring Using KOMPSAT-1 EOC Images

  • Author

    Lee, Hoonyol ; Han, Hyangsun

  • Author_Institution
    Dept. of Geophys., Kangwon Nat. Univ., Chuncheon
  • Volume
    46
  • Issue
    7
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    1905
  • Lastpage
    1912
  • Abstract
    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 rmse 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.
  • Keywords
    data analysis; image sensors; remote sensing; sea ice; AD 2005 09 to 11; AMSR-E; Advanced Microwave Scanning Radiometer-EOS; Antarctic Spring; Antarctic continental; KOMPSAT-1; Korea Multi-Purpose Satellite-1; NASA Team algorithm; SSM/I evaluation; Special Sensor Microwave/Imager; dark-gray ice; data analysis; diurnal variation; electronic optical camera images; gray ice; sea ice concentrations; spatiotemporal standard deviation; white ice; Advanced Microwave Scanning Radiometer-EOS (AMSR-E); Korea Multi-Purpose Satellite-1 (KOMPSAT-1); Special Sensor Microwave/Imager (SSM/I); electronic optical camera (EOC); ice type C; image analysis; new ice; passive microwave; sea ice; sea ice concentration (SIC); spatiotemporal standard deviation; thin ice; young ice;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.916479
  • Filename
    4524264