1. An Efficient Detection of Moroccan Coastal Upwelling Based on Fusion of Chlorophyll-a and Sea Surface Temperature Images With a New Validation Index
- Author
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Ayoub Tamim, Anass El Aouni, Zineb El Abidi, Khalid Minaoui, Hicham Laanaya, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Mathematics and computing applied to oceanic and atmospheric flows (AIRSEA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Grenoble Alpes (UGA)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Higher institute of Marine Fisheries, and Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST)
- Subjects
Chlorophyll a ,Index (economics) ,[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph] ,[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS] ,0211 other engineering and technologies ,02 engineering and technology ,image fusion ,chemistry.chemical_compound ,[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph] ,14. Life underwater ,Electrical and Electronic Engineering ,021101 geological & geomatics engineering ,Remote sensing ,Fusion ,Image fusion ,Front (oceanography) ,sea-surface temperature (SST) ,Geotechnical Engineering and Engineering Geology ,main Moroccan upwelling front ,Sea surface temperature ,chemistry ,Chlorophyll-a ,[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD] ,Upwelling ,Satellite ,validation index ,Geology - Abstract
International audience; This research deals with the problem of identifying and extracting effectively the main Moroccan upwelling front. The proposed methodology, based on the image-fusion concept, comes to benefit from the information available in both sea-surface temperature (SST) and chlorophyll-a satellite images. Moreover, a new validation index is proposed by computing a simple gradient along the extracted upwelling limit. The developed procedure is applied over a database of 366 SST and 366 chlorophyll-a images from 2007 to 2014, covering the Moroccan Atlantic coast. The final results are validated qualitatively by an oceanographer and quantitatively by our innovative index. The findings of validation demonstrate the performance of our fusion approach.
- Published
- 2021
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