Remote sensing of suspended particulate matter in turbid oyster‐farming ecosystems

Gernez, Pierre; Barillé, Laurent; Lerouxel, Astrid; Mazeran, Constant; Lucas, Axel; Doxaran, David

doi:10.1002/2014jc010055

Cited by 49 publications

(46 citation statements)

References 48 publications

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“…Due to tidal resuspension, SPM concentration seldom decreases below 50 g m −3 and regularly exceeds 500 g m −3 . As a too high SPM concentration impacts oyster clearance rate and other physiological functions , oysters grown in this farming site are negatively impacted by high SPM concentration (Gernez et al, 2014). Daily mean chl a concentration was reported to vary between 4 and 14 mg m −3 (Dutertre et al, 2009), and monthly means between 5 and 30 mg m −3 were previously reported at the study site .…”

Section: Study Sitementioning

confidence: 64%

“…Oyster clearance rate was computed from SPM concentration as in using a non-linear function response (see also Figure 3 in Gernez et al, 2014). Briefly, oyster clearance rate is constant and equal to 4.8 L h −1 when SPM concentration is lower than 60 g m −3 .…”

Section: Simulating Oyster Physiology From Spacementioning

confidence: 99%

“…Despite these issues, Sentinel2 offers four main advantages for the remote-sensing of shellfish farming ecosystems. First, its high spatial resolution (20 m) made it possible to observe aquaculture sites located nearshore, in narrow bays and estuaries (Gernez et al, 2014), and to analyze within-farm spatial variability. Second, its relatively small revisit time (which is now 5 days since the launch of Sentinel-2B) increases the probability of acquiring cloud-free data over a given site.…”

Section: Advantages and Limitations Of Sentinel2 For Aquaculture Applmentioning

confidence: 99%

“…The second objective is to analyze the tide-driven influence of SPM and chl a variability on oyster ecological response at the scale of an oyster farm. For that purpose, and building on previous studies (Gernez et al, 2014;Thomas et al, 2016), Earth Observation (EO) and shellfish physiological modeling were interconnected in order to remotely quantify the influence of rapidly changing environmental conditions on oyster clearance and chl consumption rates.…”

Section: Introductionmentioning

confidence: 99%

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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

2017

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The algorithms of Novoa et al. (2017) and Gons et al. (2005) were recalibrated and applied to Sentinel2 data to 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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Section: Study Sitementioning

confidence: 64%

Section: Simulating Oyster Physiology From Spacementioning

confidence: 99%

Section: Advantages and Limitations Of Sentinel2 For Aquaculture Applmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

2017

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“…R rs signal appears to be far from zero in the near-infrared wavelengths for the most turbid waters (e.g. Doxaran et al, 2003;Gernez et al, 2014). In such turbid…”

Section: Figurementioning

confidence: 99%

Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Tyler

Hunter

Spyrakos

et al. 2016

Science of The Total Environment

130

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The Earth's surface waters are a fundamental resource and encompass a broad range of ecosystems that are core to global biogeochemical cycling and food and energy production.Despite this, the Earth's surface waters are impacted by multiple natural and anthropogenic pressures and drivers of environmental change. The complex interaction between physical, chemical and biological processes in surface waters poses significant challenges for in situ monitoring and assessment and often limits our ability to adequately capture the dynamics of aquatic systems and our understanding of their status, functioning and response to pressures. Here we explore the opportunities that Earth observation (EO) has to offer to basin-scale monitoring of water quality over the surface water continuum comprising inland, transition and coastal water bodies, with a particular focus on the Danube and Black Sea region. This review summarises the technological advances in EO and the opportunities that the next generation satellites offer for water quality monitoring. We provide an overview of algorithms for the retrieval of water quality parameters and demonstrate how such models have been used for the assessment and monitoring of inland, transitional, coastal and shelfsea systems. Further, we argue that very few studies have investigated the connectivity between these systems especially in large river-sea systems such as the Danube-Black Sea. Subsequently, we describe current capability in operational processing of archive and near real-time satellite data. We conclude that while the operational use of satellites for the assessment and monitoring of surface waters is still developing for inland and coastal waters and more work is required on the development and validation of remote sensing algorithms for these optically complex waters, the potential that these data streams offer for developing an improved, potentially paradigm-shifting understanding of physical and biogeochemical processes across large scale river-sea continuum including the Danube-Black Sea is considerable.

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Clarifying water clarity: A call to use metrics best suited to corresponding research and management goals in aquatic ecosystems

Turner

Fall

Friedrichs

2022

Limnol Oceanogr Letters

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Water clarity is a subjective term and can be measured multiple ways. Different metrics such as light attenuation and Secchi depth vary in effectiveness depending on the research or management application. In this essay, we argue that different questions merit different water clarity metrics. In coastal and inland waters, empirical relationships to estimate light attenuation can yield clarity estimates that either under-or overestimate the underwater light climate for restoration goals, such as potential habitat available for submerged aquatic vegetation. Best practices in reporting water clarity measurements include regionally specific, temporally representative calibrations and communicating the metric that was actually measured. An intentional choice of the water clarity metric best suited to the research or management question yields the most useful results.The term "water clarity" is inherently ambiguous. Water clarity generally refers to the distance that light penetrates through water, as well as the visibility of objects through water. In lakes, rivers, estuaries, coastal zones, and the open ocean, water clarity is an essential measurement for monitoring programs and a wide variety of research applications. For example, water clarity is used to assess habitat quality for submerged aquatic vegetation (SAV), to study visual predation, and to model primary production. Water clarity is measured using multiple methods, some focused on the depth of light penetration, some based on the depth of object visibility, and others based on the amounts of components present (Fig. 1).General metrics presented here include: Secchi disk depth (Z SD ) (Secchi and Cialdi 1866; Tyler 1968; Preisendorfer 1986), the downwelling and scalar light attenuation coefficients of photosynthetically active radiation (K d (PAR) and K o (PAR)) (Kirk 1994), turbidity (Zaneveld et al. 1980Davies-Colley and Smith 2001;Sampedro and Salgueiro 2015;Eidam et al. 2022), and beam attenuation (Bishop 1999). In this paper, the terms K d and K o will refer to K d (PAR) and K o (PAR). Z SD , K o , and K d are apparent optical properties, descriptors of water bodies that depend on both the substances present and the light field (Mobley 2022). Component-based metrics include colored dissolved organic matter (CDOM) commonly measured by its light absorption (aCDOM; m À1 ) (Green and Blough 1994) or

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Remote sensing of suspended particulate matter in turbid oyster‐farming ecosystems

Cited by 49 publications

References 48 publications

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

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

Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Clarifying water clarity: A call to use metrics best suited to corresponding research and management goals in aquatic ecosystems

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