• DocumentCode
    2188860
  • Title

    Development of an algorithm to predict coastal buoy temperature from Advanced Very High Resolution Radiometer (AVHRR)

  • Author

    Williams, Ignatius Kweku ; Armaah, Rockson Ashitey ; Powell, Je´aime ; Hayden, Kuchumbi

  • Author_Institution
    Univ. of Ghana, Accra, Ghana
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2625
  • Lastpage
    2628
  • Abstract
    Elizabeth City State University currently operates a TeraScan Grounding station capable of receiving and processing imagery data collected by satellites managed by the National Oceanic and Atmospheric Administration (NOAA). The imagery received in the Infrared spectrum both measures sea surface temperatures and cloud cover for the eastern coast of North Carolina. Once the data sets were collected, they were statistically analyzed using the analysis of variance methodology and regression. Strong correlations were observed during the AVHRR-Buoy comparison for two of the three areas under the study. The NOAA-16 AVHRR SST emerged as the most consistent with the insitu data from the ORIN7 Buoy. This was due to its high coefficient of determination.
  • Keywords
    geophysical image processing; ocean temperature; oceanographic techniques; regression analysis; AVHRR-buoy; Elizabeth City State University; NOAA-16 AVHRR SST; National Oceanic and Atmospheric Administration; North Carolina; ORIN7 buoy; TeraScan Grounding station; advanced very high resolution radiometer; cloud cover; coastal buoy temperature; image processing data; infrared spectrum; regression analysis; sea surface temperatures; Ocean temperature; Satellites; Sea measurements; Sea surface; Temperature measurement; Temperature sensors; US Government agencies; Ocean temperature; Remote sensing; Temperature Sensor; Thermal Sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350390
  • Filename
    6350390