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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Quadruple Collocation Analysis for Soil Moisture Product Assessment
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Quadruple Collocation Analysis for Soil Moisture Product Assessment

机译：土壤水分评估的四重配置分析

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摘要

For validating remotely sensed products, the triple collocation (TC) is often adopted, which is able to retrieve the independent error variances of three systems observing the same target parameter. In this letter, three years of soil moisture data derived from the Advanced SCATterometer (ASCAT) aboard the MetOp satellite and the Soil Moisture and Ocean Salinity (SMOS) radiometer are analyzed and compared with the ERA Interim/Land model outputs and the ground measurements available from the International Soil Moisture Network. As we have four sources, a novel quadruple collocation (QC) approach is developed, which is more precise than TC since it uses the sources jointly. The results of QC show that the ERA model has the lowest error variance, while ground measurements are likely to be affected by the difficulty to represent a mean soil moisture within the satellite field of view by a limited number of stations. Moreover, the ASCAT retrievals outperform the SMOS ones if only anomalies with respect to the seasonal trend are considered, while the opposite occurs when the whole dynamic of soil moisture variation is considered.
机译：为了验证遥感产品，通常采用三重配置（TC），它能够检索观察到相同目标参数的三个系统的独立误差方差。在这封信中，分析了来自MetOp卫星上的高级SCATterometer（ASCAT）和土壤水分和海洋盐度（SMOS）辐射计的三年土壤湿度数据，并将其与ERA过渡/土地模型输出和可用的地面测量值进行了比较。来自国际土壤水分网络。由于我们有四个来源，因此开发了一种新颖的四重配置（QC）方法，该方法比TC更精确，因为它联合使用了这些来源。 QC的结果表明，ERA模型具有最小的误差方差，而地面测量很可能受到有限数量的站点难以代表卫星视场内的平均土壤湿度的影响。此外，如果仅考虑季节趋势的异常，则ASCAT的检索结果将优于SMOS，而当考虑土壤湿度变化的整体动态时，情况则相反。

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