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模拟高浑浊水体的遥感反射率。

Modeling the remote-sensing reflectance of highly turbid waters.

作者信息

Wong Joel, Liew Soo Chin, Wong Elizabeth, Lee Zhongping

出版信息

Appl Opt. 2019 Apr 1;58(10):2671-2677. doi: 10.1364/AO.58.002671.

Abstract

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

摘要

在海洋颜色遥感中,光学深层水域的水下遥感反射率( )可通过各种模型与吸收系数( )和后向散射系数( )相关联。使用这些模型可以根据这些系数进行快速计算,无需求解辐射传输方程。特别地, 可以表示为 /(+) 的函数。HydroLight和蒙特卡洛模拟表明,常用模型在高悬浮泥沙负荷的水域中会低估 。蒙特卡洛模拟证实,这个问题是由于高浊度水平下多次散射事件急剧增加所致。推导了一个四次多项式模型,将任何浊度水域的 与固有光学特性(IOPs)联系起来,以避免在高浊度水域中出现显著误差。

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