A Simple Tool for Automatic Extraction of Moroccan Coastal Upwelling from Sea Surface Temperature Images

Ayoub Tamim 1 Khalid Minaoui 2 Khalid Daoudi 3 Abderrahman Atillah 4 Hussein Yahia 3 Driss Aboutajdine 5 Mohammed Faouzi Smiej 6, 7
1 LRIT
LRIT - Laboratoire de Recherche Informatique et Télécommunications
2 LRIT Associated Unit to the CNRST-URAC n◦ 29
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
5 GSCM-LRIT - Laboratoire de Recherche en Informatique et Télécommunications [Rabat]
6 MSG-ATR - Utilisation scientifique des images du satellites MSG acquises en temps réel
7 CRTS - Centre Royal de Télédétection Spatiale
Abstract : This work aims at automatically identify and ex- tract the region covered by the upwelling waters in the costal ocean of Morocco using the well known region-growing segmen- tation algorithm. The later consists in coarse segmentation of upwelling area which characterized by cold and usually nutrient- rich water near the coast. The complete system has been validated by an oceanographer over a database of 30 Sea Surface Tem- perature (SST) satellite images of the year 2007 obtained from Advanced Very High Resolution Radiometer (AVHRR) sensor onboard NOAA-18 satellite serie, demonstrating its capability and effectiveness to reproduce the shape of upwelling area.
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Ayoub Tamim, Khalid Minaoui, Khalid Daoudi, Abderrahman Atillah, Hussein Yahia, et al.. A Simple Tool for Automatic Extraction of Moroccan Coastal Upwelling from Sea Surface Temperature Images. SITA'14 - 9th International Conference on Intelligent Systems: Theories and Applications, IEEE, May 2014, RABAT, Morocco. ⟨hal-00973756⟩

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