• DocumentCode
    144264
  • Title

    Sea ice thickness retrieval from SAR imagery over Bohai sea

  • Author

    Lijian Shi ; Karvonen, Juha ; Bin Cheng ; Vihma, Timo ; Mingsen Lin ; Yu Liu ; Qimao Wang ; Yongjun Jia

  • Author_Institution
    Nat. Satellite Ocean Applic. Service (NSOAS), Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4864
  • Lastpage
    4867
  • Abstract
    The Bohai sea is a semi-enclosed sea located in the northeast of China. Safety of ship navigation and exploration platforms are important issues. Reliable near real time ice information is necessary and the ice thickness distribution is still a challenge. Here we present an ice thickness estimation method combining numerical sea ice model and SAR data. A high resolution thermodynamic snow and ice model (HIGHTSI) is applied to calculate the thermodynamic ice growth and used as the ice thickness background. SAR images are used to express the local ice statistics and to redistribute the modeled ice thickness. The results are evaluated by comparing with in-situ observations from oil platforms and ice forecast results from National Marine Environmental Forecasting Center (NMEFC).
  • Keywords
    oceanographic regions; sea ice; snow; statistics; synthetic aperture radar; thermodynamics; Bohai Sea; HIGHTSI; NMEFC; National Marine Environmental Forecasting Center; SAR data; SAR image; SAR imagery; exploration platform safety; high resolution thermodynamic snow and ice model; ice forecast; ice thickness background; ice thickness distribution; ice thickness estimation method; local ice statistics; modeled ice thickness redistribution; northeast China; numerical sea ice model; oil platform in-situ observation; real time ice information; sea ice thickness retrieval; semi-enclosed sea; ship navigation safety; thermodynamic ice growth calculation; Data models; Estimation; Ice thickness; Offshore installations; Sea ice; Synthetic aperture radar; Bohai Sea; Retrieval; SAR; Sea ice; Thickness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947584
  • Filename
    6947584