Satellite-derived parameters for biological modelling in coastal waters: Illustration over the eastern continental shelf of the Bay of Biscay

Gohin, Francis; Loyer, Sophie; Lunven, Michel; Labry, Claire; Froidefond, Jean-Marie; Delmas, Daniel; Huret, Martin; Herbland, Alain

doi:10.1016/j.rse.2004.11.007

Cited by 128 publications

(115 citation statements)

References 30 publications

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“…Firstly, the number of matching data pairs available for the validation discussed in this study was significantly lower than those used by GOHIN et al (2002; for the BB. Whereas those authors found 178 data pairs for Chlo-a (GOHIN et al, 2002) and 158 for SPM (GOHIN et al, 2005), we only found between 10 and 13 pairs for Chlo-a and between 20 and 29 for SPM, depending on the exclusion method used, for the RDP. It has been suggested that the validation of satellite data requires a large number Table 2.…”

Section: Discussioncontrasting

confidence: 98%

“…OC5 is a regional empirical algorithm, which performed well in the BB, driving to an R 2 of 0.7 for Chlo-a (GOHIN et al, 2002) and of 0.6 for SPM (GOHIN et al, 2005) in that region. By contrast, our results for the RDP show very low values for the R 2 and PCC coefficients, evidencing a low linear correlation between the in situ observations and the satellite data processed with the OC5 algorithm.…”

Section: Discussionmentioning

confidence: 98%

“…MODIS reflectance products Level-2 were downloaded by IFREMER in quasi real-time from the website OceanColor/GSFC (Goddard Space Flight Centre, http:// modis.gsfc.nasa.gov), and then processed with the OC5 algorithm (GOHIN et al, 2005;GOHIN, 2011). The particular images for the RDP region processed for Chlo-a and SPM used in this study were downloaded from the web site http://www.ifremer.fr/nausicaa2/rioplata.…”

Section: Datamentioning

confidence: 99%

“…Then, through the implementation of a semi-analytical model, it also gives the concentration of suspended particulate matter (SPM). This parameter is retrieved from the radiance at 555 nm for concentrations lower than 4 g m -3 , and from the radiance at 670 nm for concentrations greater than that value (GOHIN et al, 2005;GOHIN, 2011). OC5 has proven to be efficient with more than 10 years of SeaWIFS (Sea-Viewing Wide Field-of-View Sensor), MODIS (Moderate Resolution Imaging Spectroradiometer) and MERIS (MEdium Resolution Imaging Spectrometer) data for the northwestern European shelf, including the turbid coastal waters of the United Kingdom (SYKES; BARCIELA, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the performance of the OC5 algorithm of IFREMER for the highly turbid waters of Río de la Plata

Camiolo

Cozzolino

Simionato³

et al. 2016

Braz. j. oceanogr.

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Remote sensing provides a global vision of the oceans; validation is, however, an essential previous step. IFREMER developed the empirical algorithm OC5 for highly turbid (or type 2) waters and it performed well for the northwestern European shelf. The aim of this study was to evaluate the performance of this algorithm for the Río de la Plata estuary, utilizing in situ observations of chlorophyll-a and suspended matter. Our results show a low point-to-point correlation between in situ and remote observations for both variables. In addition, the root mean square log error (RMSE) exceeded 35% for both variables, indicating a poor performance of the OC5 algorithm. This might be related to the empirical nature of the algorithm, to the amount and distribution of the data used for the analysis, to the species that compose the phytoplankton of the region, to the presence of other optically active substances in the water, and to errors in the atmospheric corrections and/or to the spatial variability of the analyzed variables. In conclusion, our results confirm the need to develop regional algorithms which take into account the particular physical and biological characteristics of the area under study. AbstrAct

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Section: Discussioncontrasting

confidence: 98%

Section: Discussionmentioning

confidence: 98%

Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the performance of the OC5 algorithm of IFREMER for the highly turbid waters of Río de la Plata

Camiolo

Cozzolino

Simionato³

et al. 2016

Braz. j. oceanogr.

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“…These components are important water quality indicators (IOCCG 2000(IOCCG , 2008 and commonly monitored for the larger areas, by means of optical satellite remote sensing of the ocean (oceancolor.gsfc.nasa.gov), coastal areas (www.coastcolor.org) and even lakes (http://www.globolakes.ac.uk), since they affect water transparency, a parameter that needs to be monitored in coastal areas to comply with the European water directives (2006/7/EC; 2008/56/EC; 2000/60/EC). However, even if the satellite spatial resolution is improving and it is suitable for the open ocean, it is less accurate in coastal and inland waters (Blondeau-Patissier et al 2004;Gohin et al 2005). Relatively complex radiometers, airborne or at ground level, are used to improve the resolution and are used to validate satellite images (Kallio et al 2001;Deschamps et al 2004;Nechad et al 2010).…”

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confidence: 99%

WACODI: A generic algorithm to derive the intrinsic color of natural waters from digital images

Novoa

Wernand

Woerd

2015

Limnology & Ocean Methods

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This document presents the WAter COlor from Digital Images (WACODI) algorithm, which extracts the color of natural waters from images collected by low-cost digital cameras, in the context of participatory science and water quality monitoring. SRGB images are converted to the CIE XYZ color space, undergoing a gamma expansion and illumination correction that includes the specular reflection at the air-water interface.The XYZ values obtained for each pixel of the image are converted to chromaticity coordinates and Hue color angle (a w ), which is a measure of color. Based on the distributions of a w in sub-sections of the image, an approximation of the intrinsic color of the water is obtained. This algorithm was applied to images acquired in 2013 during two field campaigns in Northern Europe. The Hue color angles were derived from hyperspectral measurements above and below the surface, carried out simultaneously with image acquisition. When for each station a specific illumination correction was applied, based on the corresponding hyperspectral data, a good fit (r 2 5 0.93) was obtained between the image and the spectra Hue color angles (slope 5 0.98, intercept 5 20.03). When a more generic illumination correction was applied to the same images, based on the sky conditions at the time of the image acquisition (either overcast or sunny), a slightly inferior, but still satisfactory fit resulted. Results on the application of the WACODI algorithm to the first images collected by the public via the smartphone application or "APP," developed within the European FP7 Citclops, are presented at the end of this study.

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Intrusion of Rhone River diluted water into the Bay of Marseille: Generation processes and impacts on ecosystem functioning

et al. 2014

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The Rhone River provides the largest inputs of terrestrial freshwater and nutrients into the Mediterranean Sea. The Rhone River diluted water intrusions into the Bay of Marseille were investigated, examining their physical generation processes and associated biogeochemical impact by using in situ observations, remote sensing data, and a three-dimensional physical/biogeochemical coupled model. During our study period from 2007 to 2011, Rhone River intrusions occurred on average 7.6 times per year and affected more frequently the northern part of the bay. A classification of intrusion events in three categories is proposed (short lived, big, and small) as a function of their duration and spatial extent. The intrusions appeared to be driven by: (i) wind forcing, (ii) the presence of a mesoscale eddy, (iii) the Rhone River discharge volume, and (iv) the variation in thermocline depth. Typically, a combination of these favorable factors was necessary to induce an intrusion. An intrusion strongly impacts the biogeochemical functioning of the Bay of Marseille by bringing large quantities of nutrients into the bay. Mass balances were computed allowing us to quantify this impact on the Bay of Marseille. The results show that the ecological impact depends very much on the type of intrusion, with big intrusions having the highest impact.

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Satellite-derived parameters for biological modelling in coastal waters: Illustration over the eastern continental shelf of the Bay of Biscay

Cited by 128 publications

References 30 publications

Evaluating the performance of the OC5 algorithm of IFREMER for the highly turbid waters of Río de la Plata

Evaluating the performance of the OC5 algorithm of IFREMER for the highly turbid waters of Río de la Plata

WACODI: A generic algorithm to derive the intrinsic color of natural waters from digital images

Intrusion of Rhone River diluted water into the Bay of Marseille: Generation processes and impacts on ecosystem functioning

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