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Modeling the remote-sensing reflectance of highly turbid waters

Authors :
Wong, Joel
Liew, Soo Chin
Wong, Elizabeth
Lee, Zhongping
Source :
Applied Optics; April 2019, Vol. 58 Issue: 10 p2671-2677, 7p
Publication Year :
2019

Abstract

In ocean-color remote sensing, subsurface remote-sensing reflectance (r_rs) of optically deep waters can be linked to its absorption (a) and backscattering coefficients (b_b) by various models. The use of such models allows for quick calculations r_rs from such coefficients, eliminating the need to solve the radiative transfer equation. In particular, r_rs can be expressed as a function of b_b/(a+b_b). HydroLight and Monte Carlo simulations showed that commonly used models underestimate r_rs 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 r_rs and inherent optical properties (IOPs) for waters of any turbidity, to avoid significant errors in waters of high turbidity.

Details

Language :
English
ISSN :
1559128X and 21553165
Volume :
58
Issue :
10
Database :
Supplemental Index
Journal :
Applied Optics
Publication Type :
Periodical
Accession number :
ejs49658231