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Estimation of Chlorophyll and Turbidity Using Sentinel 2A and EO1 Data in Kneiss Archipelago Gulf of Gabes, Tunisia

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Document pages: 21 pages

Abstract: Multispectral and hyperspectralsensor data of the bio-optical parameters with a high spatial resolution areimportant for monitoring and mapping of the coastal ecosystems and estuarineareas, such as the Kneiss Islands in the Gulf of Gabes. Sentinel 2 S2A andHyperion Earth observing-1 (EO1) imaging sensors reflectance data have beenused for water quality determination and mapping of turbidity TU andchlorophyll Chl-a in shallow waters. First, we applied a tidal swing area maskbased on uncorrelated pixel via 2D scatter plot between 665 nm and 865 nm toeliminate the overestimation of the concentration of water quality parametersdue to the effect of the bottom reflection. The processing for mapping and validatingChl-a, Turbidity S2A, and EO1 were performed using a relation betweenreflectance bands and in situ measurements. Therefore, we were able to validatethe performance of the case 2 regional coast colour processor (C2RCC) as wellas our region-adapted empirical optical remote sensing algorithms. Turbiditywas mapped based on the reflectance of 550 nm band for EO1 (R2 =0.63) and 665 nm band for S2A (R2 = 0.70). Chlorophyll was mappedbased on (457 528 nm) reflectance ratio (R2 = 0.57) for EO1 and(705 665 nm) reflectance ratio (R2 = 0.72) for the S2A.

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