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Modeling the remote-sensing reflectance of highly turbid waters
- 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