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An evaluation method of the retrieved physical quantity from high resolution spectrum using analysis of variance in experimental design

机译:实验设计中方差分析的高分辨率光谱物理量评估方法

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The purpose of the satellite remote sensing is not only observation of the surface on the earth but also measurement of a physical quantity in these days. For example, column density of carbon dioxide (CO_2) will be retrieved by satellite remote sensing. Though there are some constraints which are, for example, existing clouds, satellite remote sensing is able to observe almost all over the surface on the earth. Further, sensor technology is developing rapidly in these days. Therefore, amount of a minute substance can be also measured, and it is considered that the necessity to measure a physical quantity from a satellite will increase in future more and more. Then, it is very important to evaluate the accuracy of the obtained physical quantity by satellite remote sensing. The evaluation method which is established and high efficient is necessary. We propose an evaluation method of the obtained physical quantity based on the analysis of variance (ANOVA) in experimental design [1][2]. An observation deriving from satellite remote sensing, which is different from experiment in laboratory, is very wide scale. Therefore, the error which is included in an obtained physical quantity in fact is difficult to evaluate. And it is difficult that the observation condition such as temperature profile from surface to top of atmosphere is not able to know accurately. Therefore, in this study, the error of an obtained physical quantity is evaluated by numerical simulation. First, the noises and the process until a physical quantity is obtained are modeled. Next, experiments are designed. Last, the error of an obtained physical quantity is evaluated using ANOVA.First, we described the theory about the evaluation method of an obtained physical quantity by satellite remote sensing. And then, for one example, an evaluation result of the retrieved CO_2 column density is shown.
机译:卫星遥感的目的不仅是观察地球上的表面,而且还测量这些天的物理量。例如,将通过卫星遥感检索二氧化碳(CO_2)的柱密度。尽管存在一些限制,例如现有的云,但是卫星遥感几乎可以观察到地球上的所有表面。此外,传感器技术近来发展迅速。因此,还可以测量微量物质的量,并且认为将来测量来自卫星的物理量的必要性将越来越大。然后,通过卫星遥感评估获得的物理量的准确性非常重要。建立和高效的评估方法是必要的。我们在实验设计中提出了一种基于方差分析(ANOVA)的获得的物理量的评估方法[1] [2]。来自卫星遥感的观测与实验室的实验不同,它的规模非常大。因此,实际上难以评估包含在所获得的物理量中的误差。而且,从表面到大气顶部的温度分布等观测条件很难准确地知道。因此,在本研究中,通过数值模拟来评估所获得的物理量的误差。首先,对直到获得物理量的噪声和过程进行建模。接下来,设计实验。最后,使用方差分析评估获得的物理量的误差。 首先,我们描述了有关通过卫星遥感获得的物理量评估方法的理论。然后,例如,示出了所检索的CO_2柱密度的评估结果。

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