Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST)
| Type | Article | ||||||||
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| Date | 2021-12 | ||||||||
| Language | English | ||||||||
| Author(s) | Ciancia Emanuele 1, 2, Lacava Teodosio1, Pergola Nicola1, Vellucci Vincenzo3, Antoine David4, 5, Satriano Valeria2, Tramutoli Valerio2 |
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| Affiliation(s) | 1 : Institute of Methodologies for Environmental Analysis, Italian National Research Council, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy 2 : School of Engineering, University of Basilicata, Via dell’AteneoLucano 10, 85100 Potenza, Italy 3 : Institut de la Mer de Villefranche, CNRS, Sorbonne Université, LOV, F-06230 Villefranche-sur-Mer, France 4 : Remote Sensing and Satellite Research Group, School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia 5 : Laboratoired’Océanographie de Villefranche, CNRS, Sorbonne Université, IMEV, F-06230 Villefranche-sur-Mer, France |
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| Source | Remote Sensing (2072-4292) (MDPI AG), 2021-12 , Vol. 13 , N. 24 , P. 5151 (20p.) | ||||||||
| DOI | 10.3390/rs13245151 | ||||||||
| WOS© Times Cited | 3 | ||||||||
| Note | This article belongs to the Special Issue Advances in Remote Sensing Systems for Disaster Management and Risk Mitigation | ||||||||
| Keyword(s) | phytoplankton phenology, multi-sensor ocean colour data, long-term analysis, North-Western Mediterranean Sea | ||||||||
| Abstract | Investigating the variability of phytoplankton phenology plays a key role in regions characterized by cyclonic circulation regimes or convective events, like the north-western Mediterranean Sea (NWM). The main goal of this study is to assess the potential of the robust satellite techniques (RST) in identifying anomalous phytoplankton blooms in the NWM by using 9 years (2008–2017) of multi-sensor chlorophyll-a (chl-a) products from the CMEMS and OC-CCI datasets. Further application of the RST approach on a corresponding time-series of in situ chl-a measurements acquired at the BOUSSOLE site allows evaluation ofthe accuracy of the satellite-based change detection indices and selecting the best indicator. The OC-CCI derived chl-a anomaly index shows the best performances when compared to in situ data (R2 and RMSE of 0.75 and 0.48, respectively). Thus, it has been used to characterize an anomalous chl-a bloom that occurred in March 2012 at regional scale. Results show positive chl-a anomalies between the BOUSSOLE site and the Center of Convection Zone (CCZ) as a possible consequence of an intense convection episode that occurred in February 2012. |
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