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Modeling the Remote Sensing Reflectance of Highly Turbid Waters
  • Joel Wong,
  • Soo Chin Liew,
  • Elizabeth W. Wong
Joel Wong
National University of Singapore

Corresponding Author:[email protected]

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Soo Chin Liew
National University of Singapore
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Elizabeth W. Wong
National University of Singapore
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Abstract

Several models relating remote sensing reflectance to water inherent optical properties (IOPs) have been developed. In particular, the reflectance is expressed as a function of a parameter u which is related to the absorption and backscattering coefficients. We note that the quadratic model reported by Gordon et al (1988) has been widely accepted and validated. A more recent model by Lee et al (2004) separated the contributions by water and particle scattering. Most models however, only consider oceanic waters where scattering is low. This is not the case in coastal or inland waters with high suspended sediment load. Using HydroLight simulations in waters with high scattering coefficient values, we found that the quadratic relation is not sufficient to describe the corresponding remote sensing reflectance. A polynomial of at least fourth degree is required to fit the simulation results at high u. Monte Carlo simulations were conducted to investigate the relation between the remote sensing reflectance and the u parameter at similar IOP values. Results of Monte Carlo simulations confirm the quartic relation derived from HydroLight. Application of this derived relationship in relating IOPs to remote sensing reflectance will avoid significant errors in waters of high turbidity.
01 Apr 2019Published in Applied Optics volume 58 issue 10 on pages 2671. 10.1364/AO.58.002671