Abstract
In Algiers Bay, coccolithophore blooms of Holococcolithophora sphaeroidea species were identified from in situ observations during August 2003, July–August 2013, July 2015, and July 2017. This study determines for the first time in Algiers Bay the episodes of coccolithophore blooms from 2003 to 2018 using satellite and in situ observations. In addition, a new coccolithophore remote sensing reflectance index (Cocco-Index) is presented, which aims to detect the presence of coccolithophore bloom from satellites in space and time. It was applied to 16 years of data from the Moderate Resolution Imaging Sensor (2003–2018). From 2003 to 2018, the coccolithophore bloom appeared yearly in Algiers Bay but with a remarkable seasonal variability, developing mainly in winter and rarely in summer. This work is the first demonstration of applying a coccolithophore index for this region over such a large timescale
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Acknowledgments
We applied the sequence-determines-credit (SDC) approach for the authors’ sequence. We would like to thank the space agency NASA for providing the MODIS satellite images and the Copernicus service for providing the Sentinel data used in this paper. The authors thank Dr. Mehdia-Asma Keraghel (ENSSMAL, Algiers, Algeria), Dr. Hosseyn Otmani (ENSSMAL, Algiers, Algeria), Mr. Mohamed Zerrouki (ENSSMAL, Algiers, Algeria), and Mrs. Roufeida Benharkou (University of Annaba, Algeria) for their assistance in this work. This research was supported by the MESRS (Algerian government) PhD scholarship.
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Harid, R., Demarcq, H., Amanouche, S., Ait-Kaci, M., Bachari, NEI., Houma, F. (2023). Detection of Coccolithophore Bloom Episodes in Algiers Bay Using Satellite and In Situ Analysis. In: Niculescu, S. (eds) European Spatial Data for Coastal and Marine Remote Sensing. Springer, Cham. https://doi.org/10.1007/978-3-031-16213-8_1
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