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Long Island Sound Coastal Observatory: Assessment of above-water radiometric measurement uncertainties using collocated multi and hyperspectral systems

机译:长岛声音海岸天文台:使用并置的多光谱和高光谱系统评估水上辐射测量的不确定性

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The Long Island Sound Coastal Observational platform (LISCO) near Northport, New York, has been recently established to support validation of ocean color radiometry (OCR) satellite data. LISCO is equipped with collocated multispectral, SeaPRISM, and hyperspectral, HyperSAS, above-water systems for OCR measurements. This combination offers the potential for improving validation activities of current and future OCR satellite missions, as well as for satellite intercomparisons and spectral characterization of coastal waters. Results of measurements made by both the multi and hyperspectral instruments, in operation since October 2009, are presented, evaluated and their associated uncertainties quantified based on observations for a period of over a year. Multi- and hyperspectral data processing as well as the data quality analysis are described and their uncertainties evaluated. The quantified intrinsic uncertainties of HyperSAS data exhibit satisfactory values, less than 5percent over a large spectral range, from 340 to 740 nm, and over a large range of diurnal daylight conditions, depending on the maximum sun elevation at the solar noon. Intercomparisons between HyperSAS and SeaPRISM data revealed that an overcorrection of the sun glint effect in the current SeaPRISM processing induces errors, which are amplified through the whole data processing, especially at the shorter wavelengths. The spectral-averaged uncertainties can be decomposed as follows: (i) sun glint removal generates 2percent uncertainty, (ii) sky glint removal generates strong uncertainties of the order of 15percent mainly induced by sun glint overcorrection, (iii) viewing angle dependence corrections improve the data intercomparison by reducing the dispersion by 2percent, (iv) normalization of atmospheric effects generates approximately 4percent uncertainty. Based on this study, improvements of the sun glint correction are expected to significantly reduce the uncertainty associated with the data processing down to the level of 1percent. On the other hand, strong correlations between both datasets (R~(2) > 0.96) demonstrate the efficacy of the above-water retrieval concept and confirm that the collocated instrumentation constitutes an important aid to above-water data quality analysis, which makes LISCO a key element of the AERONET-OC network.
机译:最近在纽约州诺斯波特附近建立了长岛声音海岸观测平台(LISCO),以支持对海洋颜色辐射(OCR)卫星数据的验证。 LISCO配备了并置的多光谱SeaPRISM和高光谱HyperSAS水上系统,用于OCR测量。这种结合为改进当前和未来的OCR卫星任务的验证活动,卫星比对和沿海水域的频谱表征提供了潜力。自2009年10月起使用的多光谱仪和高光谱仪的测量结果将进行介绍,评估,并根据一年多来的观测值对不确定性进行量化。描述了多光谱和高光谱数据处理以及数据质量分析,并评估了它们的不确定性。 HyperSAS数据的量化内在不确定性显示出令人满意的值,在340至740 nm的大光谱范围内以及在日间日光条件的较大范围内,该值均低于5%,这取决于太阳正午的最高太阳高度。 HyperSAS和SeaPRISM数据之间的比较表明,当前SeaPRISM处理中阳光闪烁效应的过度校正会引起误差,误差会在整个数据处理过程中被放大,尤其是在较短的波长处。频谱平均的不确定性可以分解为:(i)去除太阳闪烁产生2%的不确定性,(ii)去除天空闪烁产生强烈的不确定性,主要由太阳闪烁过度校正引起,大约为15%,(iii)改善视角依赖性校正通过将色散降低2%来进行数据比较,(iv)大气效应的归一化会产生大约4%的不确定性。根据这项研究,有望改进太阳闪烁校正,从而将与数据处理相关的不确定性降低到1%的水平。另一方面,两个数据集之间的强相关性(R〜(2)> 0.96)证明了水上检索概念的有效性,并确认并置的仪器构成了水上数据质量分析的重要辅助手段,这使得LISCO AERONET-OC网络的关键要素。

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