Institute of Oceanology, Polish Academy of Sciences, ul. Powstańców Warszawy 55, 81-712 Sopot, Poland.
Sensors (Basel). 2019 Sep 19;19(18):4043. doi: 10.3390/s19184043.
Many standard methods used for the remote sensing of ocean colour have been developed, though mainly for clean, open ocean waters. This means that they may not always be effective in complex waters potentially containing high concentrations of optically significant constituents. This paper presents new empirical formulas for estimating selected inherent optical properties of water from remote-sensing reflectance spectra (), derived, among other things, for waters with high concentrations of dissolved and suspended substances. These formulas include one for estimating the backscattering coefficient (620) directly from the magnitude of in the red part of the spectrum, and another for estimating the absorption coefficient (440) from the hue angle . The latter quantity represents the water's colour as it might be perceived by the human eye (trichromatic colour vision); it is easily calculated from the shape of the spectrum. These new formulas are based on a combined dataset. Most of the data were obtained in the specific, optically complex environment of the Baltic Sea. Additional data, taken from the NASA bio-Optical Marine Algorithm Dataset (NOMAD) and representing various regions of the global oceans, were used to widen the potential applicability of the new formulas. We indicate the reasons why these simple empirical relationships can be derived and compare them with the results of straightforward modelling; possible applications are also described. We present, among other things, an example of a simple semi-analytical algorithm using both new empirical formulas. This algorithm is a modified version of the well-known quasi-analytical algorithm (QAA), and it can improve the results obtained in optically complex waters. This algorithm allows one to estimate the full spectra of the backscattering and absorption coefficients, without the need for any additional a priori assumptions regarding the spectral shape of absorption by dissolved and suspended seawater constituents.
已经开发出许多用于海洋颜色遥感的标准方法,尽管这些方法主要针对清洁、开阔的海洋水域。这意味着它们在潜在含有高浓度光学上有意义成分的复杂水域中可能并不总是有效。本文提出了从遥感反射率光谱()中估算选定固有光学特性的新经验公式,这些公式除其他外,还针对溶解和悬浮物质浓度高的水域进行了推导。这些公式包括一个直接从光谱红色部分的 幅度估算后向散射系数(620)的公式,以及另一个从色调角()估算吸收系数(440)的公式。后者代表了人眼可能感知到的水的颜色(三色视觉);它可以很容易地从 光谱的形状计算出来。这些新公式基于组合数据集。大部分数据是在波罗的海特定的、光学复杂的环境中获得的。来自 NASA 生物光学海洋算法数据集(NOMAD)的其他数据,代表了全球各个海域,被用来扩大新公式的潜在适用性。我们指出了为什么可以推导出这些简单的经验关系,并将其与直接建模的结果进行比较;还描述了可能的应用。我们展示了,除其他外,一个使用两个新经验公式的简单半分析算法的示例。该算法是著名的准分析算法(QAA)的修改版本,可以改进在光学复杂水域中获得的结果。该算法允许人们在不需要对溶解和悬浮海水成分的光谱吸收形状进行任何额外的先验假设的情况下,估算后向散射和吸收系数的完整光谱。