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
2 LRIT Associated Unit to the CNRST-URAC n◦ 29
3 GeoStat - Geometry and Statistics in acquisition data
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

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Océan, Atmosphère

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⟩