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Shellfish Aquaculture from Space: Potential of Sentinel2 to Monitor Tide-Driven Changes in Turbidity, Chlorophyll Concentration and Oyster Physiological Response at the Scale of an Oyster Farm
Open accessAbstract
The algorithms of Novoa et al. (2017) and Gons et al. (2005) were recalibrated and applied to Sentinel2 data to respectively retrieve suspended particulate matter (SPM) and chlorophyll a (chl a) concentration in the environmentally and economically important intertidal zones. Sentinel2-derived chl a and SPM concentration distributions were analyzed at the scale of an oyster farm over a variety of tidal conditions. Sentinel2 imagery was then coupled with ecophysiological modeling to analyze the influence of tide-driven chl a and SPM dynamics on oyster clearance and chl consumption rates. Within the studied oyster farming site (Bourgneuf Bay along the French Atlantic coast), chl consumption rate mirrored the changes in chl a concentration during neap tides, whereas oyster clearance and chl consumption rates were both negatively impacted by high SPM concentration during spring tides.
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“Gernez et al. (2017) demonstrated how satellite data could be used to monitor shellfish health through a unique application of suspended particulate matter and chl-a algorithms to Sentinel-2 imagery.”
From Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry (2020) · cites this paper as Gernez et al. (2017)
In the citing paper
“The resulting model allowed the effects of tide-driven dynamics on oyster feeding rates to be examined in Bourgneuf Bay, along the French Atlantic coast.”
From Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry (2020) · cites this paper as Gernez et al. (2017)
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Cited by
Sorted by citations
Wolny, J. L., Tomlinson, M. C., Schollaert Uz, S., Egerton, T. A., McKay, J. R., Meredith, A., Reece, K. S., Scott, G. P., & Stumpf, R. P. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.00337 · Cited by 80
“Gernez et al. (2017) demonstrated how satellite data could be used to monitor shellfish health through a unique application of suspended particulate matter and chl-a algorithms to Sentinel2 imagery.”
Background
Metadata
- Authors
- Gernez, P., Doxaran, D., & Barillé, L.
- Affiliations
- Université de Nantes (FR)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Gernez, Pierre
- Venue
- Frontiers in Marine Science
- Publisher
- Frontiers Media SA
- Published
- 2017-05-16
- Volume
- 4
- ISSN
- 2296-7745 (ISSN-L)
- OpenAlex
- W2615064060
- Cited by
- 85
- References
- 0
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 5 · 2023: 12 · 2022: 15 · 2021: 8 · 2020: 13 · 2019: 7 · 2018: 8 · 2017: 1
- FWCI
- 5.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Marine Science (publishedVersion, cc-by)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- Funders
- Centre National de la Recherche Scientifique (PNTS-2015-07)
- Agence Nationale de la Recherche (ANR-12-AGRO-0001)
- Seventh Framework Programme (606797)
- European Commission (678396)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Marine Bivalve and Aquaculture Studies
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Plankton and Biogeochemistry
- Physical Sciences › Earth and Planetary Sciences › Earth-Surface Processes › Coastal and Marine Dynamics
- Keywords
- Sentinel-2, oyster aquaculture, suspended particulate matter, chlorophyll a, turbidity, tidal dynamics, intertidal zone, remote sensing of coastal waters, Bay of Bourgneuf
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