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Hyperspectral feature analysis of chlorophyll a and suspended solids using field measurements from Taihu Lake, eastern China

机译:中国东部太湖地区叶绿素a和悬浮物的高光谱特征分析

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摘要

We report results of three field campaigns conducted at 39 stations. At each station, we measured reflectance spectra in situ and collected water samples for measuring chlorophyll a (CHL) and suspended solids (SS) concentrations in the laboratory. To identify the indicative bands and develop suitable estimation models for CHL (C_(CHL)) and SS (C_(SS)) concentrations in Taihu Lake, a spectral-feature method and a derivative method were applied. The following conclusions were drawn: (a) the critical C_(CHL) and C_(SS) probably causing their spectral variation are, respectively: 0, 10, 50 and 75 μg L~(-1), and 0, 10, 50 and 100 mg L~(-1); (b) the derivative method is better than the spectral-feature method for estimating C_(CHL) and C_(SS); (c) the optimal variable for CHL is a reflectance second-order derivative at 501 nm or a reflectance first-order derivative at 698 nm; the optimal variable for SS can change when its concentration is low and the range is narrow; otherwise, the optimal variable is a reflectance first-order derivative at 878 nm; and (d) the CHL and SS have an effect on one another's retrieval. The C_(CHL) estimation accuracy would benefit from narrowing the C_(SS) range. With C_(CHL) increasing and its range broadening, the corresponding C_(SS) estimation accuracy decreases gradually.
机译:我们报告了在39个站点进行的三个野战活动的结果。在每个站点,我们都在现场测量了反射光谱,并收集了水样,以在实验室中测量叶绿素a(CHL)和悬浮固体(SS)的浓度。为了确定指示带并建立适用于太湖中CHL(C_(CHL))和SS(C_(SS))浓度的估算模型,应用了光谱特征法和微分法。得出以下结论:(a)可能引起其光谱变化的临界C_(CHL)和C_(SS)分别为:0、10、50和75μgL〜(-1),以及0、10、50和100 mg L〜(-1); (b)在估计C_(CHL)和C_(SS)时,导数方法优于光谱特征方法; (c)CHL的最佳变量是在501 nm处的反射率二阶导数或在698 nm处的反射率一阶导数;当SS浓度低且范围窄时,SS的最佳变量会改变。否则,最佳变量是在878 nm处的反射率一阶导数; (d)CHL和SS对彼此的检索有影响。缩小C_(SS)范围将有益于C_(CHL)估计准确性。随着C_(CHL)的增加和范围的扩大,相应的C_(SS)估计精度逐渐降低。

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