Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST)
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/24/5151 |
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| author | Emanuele Ciancia Teodosio Lacava Nicola Pergola Vincenzo Vellucci David Antoine Valeria Satriano Valerio Tramutoli |
| author_facet | Emanuele Ciancia Teodosio Lacava Nicola Pergola Vincenzo Vellucci David Antoine Valeria Satriano Valerio Tramutoli |
| author_sort | Emanuele Ciancia |
| collection | DOAJ |
| description | 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 (R<sup>2</sup> 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. |
| first_indexed | 2024-03-10T03:11:40Z |
| format | Article |
| id | doaj.art-7f3990e5763744fcb9b63b5da70613b7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:11:40Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-7f3990e5763744fcb9b63b5da70613b72023-11-23T10:25:30ZengMDPI AGRemote Sensing2072-42922021-12-011324515110.3390/rs13245151Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST)Emanuele Ciancia0Teodosio Lacava1Nicola Pergola2Vincenzo Vellucci3David Antoine4Valeria Satriano5Valerio Tramutoli6Institute of Methodologies for Environmental Analysis, Italian National Research Council, C.da Santa Loja, Tito Scalo, 85050 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, Italian National Research Council, C.da Santa Loja, Tito Scalo, 85050 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, Italian National Research Council, C.da Santa Loja, Tito Scalo, 85050 Potenza, ItalyInstitut de la Mer de Villefranche, CNRS, Sorbonne Université, LOV, F-06230 Villefranche-sur-Mer, FranceRemote Sensing and Satellite Research Group, School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, AustraliaSchool of Engineering, University of Basilicata, Via dell’AteneoLucano 10, 85100 Potenza, ItalySchool of Engineering, University of Basilicata, Via dell’AteneoLucano 10, 85100 Potenza, ItalyInvestigating 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 (R<sup>2</sup> 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.https://www.mdpi.com/2072-4292/13/24/5151phytoplankton phenologymulti-sensor ocean colour datalong-term analysisNorth-Western Mediterranean Sea |
| spellingShingle | Emanuele Ciancia Teodosio Lacava Nicola Pergola Vincenzo Vellucci David Antoine Valeria Satriano Valerio Tramutoli Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST) Remote Sensing phytoplankton phenology multi-sensor ocean colour data long-term analysis North-Western Mediterranean Sea |
| title | Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST) |
| title_full | Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST) |
| title_fullStr | Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST) |
| title_full_unstemmed | Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST) |
| title_short | Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST) |
| title_sort | quantifying the variability of phytoplankton blooms in the nw mediterranean sea with the robust satellite techniques rst |
| topic | phytoplankton phenology multi-sensor ocean colour data long-term analysis North-Western Mediterranean Sea |
| url | https://www.mdpi.com/2072-4292/13/24/5151 |
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