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Modeling the remote-sensing reflectance of highly turbid waters

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Abstract

In ocean-color remote sensing, subsurface remote-sensing reflectance (rrs) of optically deep waters can be linked to its absorption (a) and backscattering coefficients (bb) by various models. The use of such models allows for quick calculations rrs from such coefficients, eliminating the need to solve the radiative transfer equation. In particular, rrs can be expressed as a function of bb/(a+bb). HydroLight and Monte Carlo simulations showed that commonly used models underestimate rrs in waters with high suspended sediment loads. Monte Carlo simulations confirmed that this issue is due to a sharp increase in multiple scattering events at high turbidity levels. A quartic polynomial model is derived relating rrs and inherent optical properties (IOPs) for waters of any turbidity, to avoid significant errors in waters of high turbidity.

© 2019 Optical Society of America

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