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模拟海水中悬浮矿物颗粒的光学特性及其对海洋反射率的影响以及遥感算法对叶绿素的估算。

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

作者信息

Woźniak Sławomir B, Stramski Dariusz

机构信息

Marine Physical Laboratory, Scripps Institution of Oceanography, University of California at San Diego, La Jolla, California 92093-0238, USA.

出版信息

Appl Opt. 2004 Jun 10;43(17):3489-503. doi: 10.1364/ao.43.003489.

DOI:10.1364/ao.43.003489
PMID:15219032
Abstract

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)(lambda)/[a(lambda) + b(b)(lambda)], 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 approximately 50% to as much as 20-fold.

摘要

根据米氏散射理论,针对海水中悬浮矿物颗粒的不同粒径分布和复折射率,计算了其光学特性。分析了光谱后向散射系数与海水光谱吸收系数和后向散射系数之和的比值b(b)(λ)/[a(λ)+b(b)(λ)],将其作为不同特性和浓度的矿物颗粒海洋反射率的替代指标。考虑到颗粒粒径分布和折射率的合理变化范围,仅依据颗粒质量浓度对矿物颗粒吸收和散射特性及其对海洋反射率的影响进行一般参数化是不够的。必须考虑颗粒粒径分布和折射率的变化。由于存在矿物颗粒,从遥感算法得出的叶绿素估算误差可能非常大。例如,当矿物浓度为1 g m(-3)且叶绿素a浓度较低(0.05 mg m(-3))时,当前基于蓝绿反射率比的全球算法可能会使叶绿素高估约50%至高达20倍。

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