Detection of Moroccan coastal upwelling using sea surface chlorophyll concentration

Anass El Aouni 1 Khalid Minaoui 2 Ayoub Tamim 1 Khalid Daoudi 3 Hussein Yahia 3 Abderrahman Atillah 4 Driss Aboutajdine 2
1 LRIT
LRIT - Laboratoire de Recherche Informatique et Télécommunications
2 LRIT - Laboratoire de Recherche Informatique et Télécommunications
3 GeoStat - Geometry and Statistics in acquisition data
Inria Bordeaux - Sud-Ouest
4 CRTS - Centre Royal de Télédétection Spatiale
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 : Upwelling Satellite chlorophyll concentration Fuzzy clustering algorithm Region-growing
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Communication dans un congrès
12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2015, Nov 2015, Agadir, Morocco. IEEE, Computer Systems and Applications (AICCSA), 2015 IEEE/ACS 〈http://ieeexplore.ieee.org/document/7507165/?arnumber=7507165&tag=1〉. 〈10.1109/AICCSA.2015.7507165〉
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Anass El Aouni, Khalid Minaoui, Ayoub Tamim, Khalid Daoudi, Hussein Yahia, et al.. Detection of Moroccan coastal upwelling using sea surface chlorophyll concentration. 12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2015, Nov 2015, Agadir, Morocco. IEEE, Computer Systems and Applications (AICCSA), 2015 IEEE/ACS 〈http://ieeexplore.ieee.org/document/7507165/?arnumber=7507165&tag=1〉. 〈10.1109/AICCSA.2015.7507165〉. 〈hal-01360038〉

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