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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Classification of Inland Waters Based on Bio-Optical Properties
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Classification of Inland Waters Based on Bio-Optical Properties

机译:基于生物光学特性的内陆水域分类

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Multiple bio-optical measurements of optically active substances were conducted in Taihu Lake, Chaohu Lake, Three Gorges Reservoir, and Dianchi Lake (China). A hierarchical cluster analysis was applied to remote sensing spectra (${R_{{rm rs}}}(lambda)$ ), by which those waters were clustered into three optically distinct types (Type I, Type II, and Type III). Absorption coefficients of phytoplankton were simulated using the linear function and the coefficients of the functions varied in different water types. The slope of colored dissolved organic matter (CDOM) absorption could be clustered into two classes, one class of high slope for Types I and II, whereas the other class of low slope for Type III. A uniform model was used for parameterization of the nonalgal particles absorption coefficients spectral between different water types. The power-law function was used to parameterize the scattering coefficient and the slope of scattering spectra could be classified into two groups of high slope for Types I and II, low slope for Type III. The composition of particles, particulate scattering, and nonalgal particulate absorption are the factors controlling the variability in ${R_{{rm rs}}}(lambda)$ for corresponding type waters. Those results support such a fact that it is indispensable to classify waters before developing a model to estimate water quality parameters for multi-type optical waters.
机译:在太湖,巢湖,三峡水库和滇池(中国)进行了多种光学活性物质的生物光学测量。将层次聚类分析应用于遥感光谱($ {R _ {{rm rs}}}(λ$),通过这些聚类分析将这些水聚类为三种光学上不同的类型(I型,II型和III型)。使用线性函数模拟了浮游植物的吸收系数,并且该函数的系数在不同的水类型中有所不同。有色溶解有机物(CDOM)吸收的斜率可分为两类,一类为I型和II型高斜率,另一类为III型低斜率。使用统一模型对不同类型水之间的非藻类颗粒吸收系数谱进行参数化。使用幂律函数对散射系数进行参数化,并且散射光谱的斜率可以分为I型和II型高斜率,III型低斜率两组。颗粒的组成,颗粒的散射和非藻类颗粒的吸收是控制相应类型水在$ {R _ {{rm rs}}}λ中的可变性的因素。这些结果支持这样一个事实,即在开发用于估计多种类型光学水的水质参数的模型之前,对水进行分类是必不可少的。

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