• DocumentCode
    2108750
  • Title

    Study of sea ice in North Water Polynya using multi-sensor spaceborne data

  • Author

    Shokr, Mohammed

  • Author_Institution
    Atmos. Environ. Service, Toronto, Ont., Canada
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1259
  • Abstract
    The North Water Polynya (NOW) is the largest and perhaps most active polynya in the Arctic region. A study of sea ice distribution and surface properties was conducted using multi sensor satellite remote sensing data in conjunction with surface measurements during an expedition in April/May 1998. The study utilized a data fusion technique which co-locates observations from three sensors: SSM/I, AVHRRA and Radarsat SAR to explore spatial and temporal statistics of sea ice in the polynya. Results show that thin ice (less than 15 cm thickness) occupied 35% of the polynya (during the study period). Ice surface temperature and surface albedo varied significantly in the middle of the polynya and were related to ice types (identified in the fine-resolution Radarsat images). Ice concentration calculation from SSM/I brightness temperature was verified against Radarsat visual observations. The mean concentration was 0.65 and it constituted mostly thin ice types
  • Keywords
    geophysical signal processing; oceanographic regions; oceanographic techniques; remote sensing by radar; sea ice; sensor fusion; AD 1998 04 to 05; AVHRRA data; NOW; North Water Polynya; Radarsat data; SSM/I data; data fusion; ice concentration; ice surface temperature; ice types; multi sensor satellite remote sensing; multi-sensor spaceborne data; sea ice; sea ice distribution; surface albedo; surface properties; thin ice; Arctic; Ice surface; Ocean temperature; Remote sensing; Satellites; Sea ice; Sea measurements; Sea surface; Sensor fusion; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.976812
  • Filename
    976812