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| Minghelli Roman, Audrey; Polidori, Laurent; Mathieu-blanc, Sandrine; Loubersac, Lionel; Cauneau, François. |
| Bathymetric estimation using remote sensing images has previously been applied to high spatial resolution imagery such as CASI, Ikonos, or SPOT but not on medium spatial resolution images (i.e., MERIS). This choice can be justified when there is a need to map the bathymetry on large areas. In this letter, we present the results of the bathymetry estimation over a large known area, the Gulf of Lion (France), expanding over 270 x 180 km. |
| Tipo: Text |
Palavras-chave: MERIS; Coastal zone; Bathymetry. |
| Ano: 2007 |
URL: http://archimer.ifremer.fr/doc/2007/publication-2597.pdf |
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| Gangloff, Aurelien; Verney, Romaric; Doxaran, David; Ody, Anouck; Estournel, Claude. |
| In coastal environments, river plumes are major transport mechanisms for particulate matter, nutriments and pollutants. Ocean colour satellite imagery is a valuable tool to explore river turbid plume characteristics, providing observations at high temporal and spatial resolutions of suspended particulate matter (SPM) concentration over a long time period, covering a wide range of hydro-meteorological conditions. We propose here to use the MERIS-FR (300 m) Ocean Colour archive (2002–2012) in order to investigate Rhône River turbid plume patterns generated by the two main forcings acting on the north-eastern part of the Gulf of Lions (France): wind and river freshwater discharge. Results are exposed considering plume metrics (area of extension,... |
| Tipo: Text |
Palavras-chave: River plume metrics; Sediment dynamics; MERIS; Ocean color data; Suspended particulate matter; Gulf of Lions. |
| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00391/50258/50885.pdf |
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| Guillou, Nicolas; Rivier, Aurelie; Gohin, Francis; Chapalain, Georges. |
| The present study investigates the performances of the three-dimensional multicomponent hydro-sedimentary model ROMS (Regional Ocean Modeling System) to predict near-surface suspended sediment concentrations (SSC) in the English Channel (western Europe). Predictions are assessed against satellite-retrieved observations from raw MODIS and MERIS images for the year 2008 characterized by the highest availability of cloud-free data. Focus is put on improvements obtained with: (1) SSC inputs at the open boundaries; and (2) simple parameterizations of the settling velocity and the critical shear stress. Sensitivity studies confirm the importance of the advection of fine-grained suspended sediments in the central waters of the English Channel exhibiting benefits... |
| Tipo: Text |
Palavras-chave: ROMS; Satellite; MERIS; MODIS; Tide; Wave. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00276/38766/37307.pdf |
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| Lavigne, H.; Van Der Zande, D.; Ruddick, K.; Cardoso Dos Santos, J.f.; Gohin, Francis; Brotas, V.; Kratzer, S.. |
| Reliable satellite estimates of chlorophyll-a concentration (Chl-a) are needed in coastal waters for applications such as eutrophication monitoring. However, because of the optical complexity of coastal waters, retrieving accurate Chl-a is still challenging. Many algorithms exist and give quite different performance for different optical conditions but there is no clear definition of the limits of applicability of each algorithm and no clear basis for deciding which algorithm to apply to any given image pixel (reflectance spectrum). Poor quality satellite Chl-a data can easily reach end-users. To remedy this and provide a clear decision on when a specific Chl-a algorithm can be used, we propose simple quality control tests, based on MERIS water leaving... |
| Tipo: Text |
Palavras-chave: Ocean colour; Chlorophyll-a algorithms; Coastal waters; Quality control; Algorithm-switching approach; MERIS; OLCI; Sentinel-3. |
| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00675/78758/80933.pdf |
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| Palmer, Stephanie C. J.; Gernez, Pierre M.; Thomas, Yoann; Simis, Stefan; Miller, Peter I.; Glize, Philippe; Barillé, Laurent. |
| Aquaculture increasingly contributes to global seafood production, requiring new farm sites for continued growth. In France, oyster cultivation has conventionally taken place in the intertidal zone, where there is little or no further room for expansion. Despite interest in moving production further offshore, more information is needed regarding the biological potential for offshore oyster growth, including its spatial and temporal variability. This study shows the use of remotely-sensed chlorophyll-a and total suspended matter concentrations retrieved from the Medium Resolution Imaging Spectrometer (MERIS), and sea surface temperature from the Advanced Very High Resolution Radiometer (AVHRR), all validated using in situ matchup measurements, as input to... |
| Tipo: Text |
Palavras-chave: Satellite image; Time series; Bivalve; Dynamic energy budget; Growth modeling; MERIS; AVHRR; Marine spatial planning. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00605/71722/70185.pdf |
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| Guillou, Nicolas; Rivier, Aurelie; Chapalain, Georges; Gohin, Francis. |
| Numerous ecological problems of continental shelf ecosystems require a refined knowledge of the evolution of suspended sediment concentrations (SSC). The present investigation focuses on the spatial and temporal variabilities of near-surface SSC in coastal waters of the English Channel (western Europe) by exploiting numerical predictions from the Regional Ocean Modeling System ROMS. Extending previous investigations of ROMS performances in the Channel, this analysis refines, with increased spatial and temporal resolutions, the characterization of near-surface SSC patterns revealing areas where concentrations are highly correlated with evolutions of tides and waves. Significant tidal modulations of near-surface concentrations are thus found in the eastern... |
| Tipo: Text |
Palavras-chave: Sediment transport; Numerical modeling; Satellite; ROMS; MERIS; MODIS. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00345/45607/45227.pdf |
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| Tilstone, Gavin; Mallor-hoya, Silvana; Gohin, Francis; Couto, Andre Belo; Sa, Carolina; Goela, Priscila; Cristina, Sonia; Airs, Ruth; Icely, John; Zuehlke, Marco; Groom, Steve. |
| Chlorophyll-a (Chl a) is a key parameter for the assessment of water quality in coastal and shelf environments. The availability of satellite ocean colour offers the potential of monitoring these regions at unprecedented spatial and temporal scales, as long as a high level of accuracy can be achieved. To use satellite derived Chl a to monitor these environments, it is imperative that rigorous accuracy assessments are undertaken to select the most accurate ocean colour algorithm(s). To this end, the accuracy of a range of ocean colour Chl a algorithms for use with Medium Imaging Resolution Spectrometer (MERIS) Level 2 (L2) Remote Sensing Reflectance (Rrs), using two different atmospheric correction (AC) processors (COASTCOLOUR and MERIS Ground Segment... |
| Tipo: Text |
Palavras-chave: Case 2 waters; Coastal waters; Shelf waters; Chlorophyll-a; North Sea; Ocean colour; Remote sensing; MERIS; English Channel; Mediterranean coast; Portuguese coast. |
| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00359/46995/48634.pdf |
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