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Statistical assessment of radiometric measurements from autonomous systems

机译:自主系统辐射测量的统计评估

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In situ autonomous systems are commonly used for the collection of measurements for the vicarious calibration of satellite data and the successive validation of derived products. However, the use of autonomous systems creates the need of assessing the quality of the large volume of collected data. Within the framework of ocean color activities, this work investigates the consistency of normalized water leaving radiances spectra produced from measurements taken with an above-water autonomous system installed on an oceanographic tower. The study has shown the need of addressing the problem under two different levels of inference. The first level, so-called self-consistency, has demonstrated the capability of identifying spectra with a low statististical representativeness within the dataset itself. The second level, so-called relative-consistency, has provided the possibility of evaluating whether a spectrum is relatively consistent to a reference set of quality-assured data.
机译:原位自治系统通常用于收集测量数据,以进行卫星数据的替代校准和对衍生产品的连续验证。但是,使用自治系统需要评估大量收集的数据的质量。在海洋颜色活动的框架内,这项工作研究了标准化水的一致性,该标准化水留下的辐射光谱是通过使用安装在海洋学塔上的水上自主系统进行的测量得出的。研究表明需要在两种不同的推理水平下解决问题。第一级,所谓的自洽性,已经证明了在数据集自身内部识别具有低统计代表性的光谱的能力。第二级,所谓的相对一致性,提供了评估频谱是否与质量保证数据的参考集相对一致的可能性。

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