2003
DOI: 10.1364/ao.42.002623
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Remote-sensing reflectance of turbid sediment-dominated waters Reduction of sediment type variations and changing illumination conditions effects by use of reflectance ratios

Abstract: Variations of sediment type (grain size and refractive index) and changing illumination conditions affect the reflectance signal of coastal waters and limit the accuracy of sediment-concentration estimations from remote-sensing measurements. These effects are analyzed from numerous in situ remote-sensing measurements carried out in the Gironde and Loire Estuaries and then reduced and partly eliminated when reflectance ratios between the near infrared and the visible are considered. These ratios showed high cor… Show more

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Cited by 150 publications
(138 citation statements)
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“…λ NIR = 800 or 850 nm) and visible (e.g. λ VIS = 550 or 650 nm) spectral regions (Doxaran et al, 2002(Doxaran et al, , 2003(Doxaran et al, , 2006. Considering the nearinfrared spectral region is required in such waters where the R rs signal tends to saturate at visible wavebands (Doxaran et al, 2002).…”
Section: Ocean Colour Spm Quantification Algorithmmentioning
confidence: 99%
“…λ NIR = 800 or 850 nm) and visible (e.g. λ VIS = 550 or 650 nm) spectral regions (Doxaran et al, 2002(Doxaran et al, , 2003(Doxaran et al, , 2006. Considering the nearinfrared spectral region is required in such waters where the R rs signal tends to saturate at visible wavebands (Doxaran et al, 2002).…”
Section: Ocean Colour Spm Quantification Algorithmmentioning
confidence: 99%
“…Figure 5 shows the regression relationships between in-situ TSS and Rrs2, Rrs3 and Rrs3/Rrs2. Among these regressions, the band-ratio exponent algorithm showed better performance than the single-band algorithm based on measures with a higher coefficient of determination (R 2 ) and lower MRE because the influence of sediment grain size and refractive index variations on the reflectance in satellite bands is reduced when considering reflectance ratios [55]. According to the spectral characteristics of turbid waters, bands from 500 to 700 nm are effective for the retrieval of TSS concentrations from Landsat, SPOT and HJ-1A/1B satellite CCD sensors [7,10,16,27].…”
Section: Total Suspended Sediment Retrieval Modelmentioning
confidence: 99%
“…Algorithms to derive SPM at locations with such extreme high SPM concentrations are the one-band algorithm tuned for the Belgian coast Ruddick et al 2004), the ratio algorithms for the Gironde and Loire estuaries in France (Chl-a <5 g l ¡1 , SPM <30 to >2,000 mg l ¡1 , CDOM 0.05-0.26) (Doxaran et al 2003), and the regression algorithm for the Malaysian coastal waters around Penang (SPM maximum >250 mg l ¡1 ), which takes the speciWc optical properties of Chl-a and CDOM in account (Lim et al 2008). Miller andMcKee (2004) used Modis Terra (IOCCG 2009) with a ground resolution of 250 £ 250 m to develop their SPM ratio algorithm in the complex waters of the northern Gulf of Mexico (US), which is especially useful in narrow water bodies of estuaries or the channels between tidal Xats.…”
Section: ¡3mentioning
confidence: 99%