Skip to Main content Skip to Navigation
Journal articles

An Efficient Detection of Moroccan Coastal Upwelling Based on Fusion of Chlorophyll-a and Sea Surface Temperature Images With a New Validation Index

Zineb Abidi 1 Khalid Minaoui 1 Anass El Aouni 2 Ayoub Tamim 3 Hicham Laanaya 1
2 AIRSEA - Mathematics and computing applied to oceanic and atmospheric flows
Inria Grenoble - Rhône-Alpes, UGA - Université Grenoble Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : 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.
Complete list of metadata

Cited literature [22 references]  Display  Hide  Download

https://hal.inria.fr/hal-02884714
Contributor : Anass El Aouni <>
Submitted on : Tuesday, June 30, 2020 - 10:09:06 AM
Last modification on : Wednesday, March 10, 2021 - 3:04:06 PM

File

09127830.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Zineb Abidi, Khalid Minaoui, Anass El Aouni, Ayoub Tamim, Hicham Laanaya. An Efficient Detection of Moroccan Coastal Upwelling Based on Fusion of Chlorophyll-a and Sea Surface Temperature Images With a New Validation Index. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2020, pp.1-5. ⟨10.1109/LGRS.2020.3002473⟩. ⟨hal-02884714⟩

Share

Metrics

Record views

172

Files downloads

374