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Modeling the optical properties of mineral particles suspended in seawater and their influence on ocean reflectance and chlorophyll estimation from remote sensing algorithms

机译:建模悬浮在海水中的矿物颗粒的光学特性及其对海洋反射率和叶绿素估计的影响(基于遥感算法)

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The optical properties of mineral particles suspended in seawater were calculated from the Mie scattering theory for different size distributions and complex refractive indices of the particles. The ratio of the spectral backscattering coefficient to the sum of the spectral absorption and backscattering coefficients of seawater, b_(b)(λ)/[a(λ)+b_(b)(λ)], was analyzed as a proxy for ocean reflectance for varying properties and concentrations of mineral particles. Given the plausible range of variability in the particle size distribution and the refractive index, the general parameterizations of the absorption and scattering properties of mineral particles and their effects on ocean reflectance in terms of particle mass concentration alone are inadequate. The variations in the particle size distribution and the refractive index must be taken into account. The errors in chlorophyll estimation obtained from the remote sensing algorithms that are due to the presence of mineral particles can be very large. For example, when the mineral concentration is 1 g m~(-3) and the chlorophyll a concentration is low (0.05 mg m~(-3)), current global algorithms based on a blue-to-green reflectance ratio can produce a chlorophyll overestimation ranging from ~50% to as much as 20-fold.
机译:悬浮在海水中的矿物颗粒的光学特性是根据米氏散射理论针对颗粒的不同尺寸分布和复杂折射率计算得出的。分析了光谱的反向散射系数与海水的光谱吸收和反向散射系数之和的比值b_(b)(λ)/ [a(λ)+ b_(b)(λ)],作为海洋的代理各种矿物的特性和浓度的反射率。考虑到粒径分布和折射率的合理范围变化,仅就颗粒质量浓度而言,矿物颗粒的吸收和散射特性及其对海洋反射率的一般参数化是不够的。必须考虑粒度分布和折射率的变化。由于矿物颗粒的存在,从遥感算法获得的叶绿素估计误差可能很大。例如,当矿物质浓度为1 gm〜(-3)而叶绿素a浓度较低(0.05 mg m〜(-3))时,当前基于蓝绿色反射比的全局算法可以产生叶绿素高估率从〜50%到高达20倍不等。

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