• DocumentCode
    3779398
  • Title

    Detection of Moroccan coastal upwelling using sea surface chlorophyll concentration

  • Author

    Anass El Aouni;Khalid Minaoui;Ayoub Tamim;Khalid Daoudi;Hussein Yahia;Abderrahman Atillah;Driss Aboutajdine

  • Author_Institution
    Mohammed V-Agdal University, LRIT Associated Unit to the CNRST-URAC n 29, Rabat, Morocco
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The aim of this work is to automatically identify and extract the upwelling area in the coastal ocean of Morocco using the satellite observation of chlorophyll concentration. The algorithm starts by the application of FCM algorithm for the purpose of finding regions of homogeneous concentration of the chlorophyll, resulting in c-partitioned labeled images. A region-growing algorithm is then used to filter out the noisy structures in the offshore waters not belonging to the upwelling regions. The proposed methodology has been validated by an oceanographer and tested over a database of 166 weekly Sea Surface chlorophyll data. The region of interst cover the southern part of Moroccan atlantic coast spanning from the years 2007 to 2012.
  • Keywords
    "Databases","Robustness"
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2015 IEEE/ACS 12th International Conference of
  • Electronic_ISBN
    2161-5330
  • Type

    conf

  • DOI
    10.1109/AICCSA.2015.7507165
  • Filename
    7507165