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Parameter sensitivity of soil moisture retrievals from airborne C- and X-band radiometer measurements in SMEX02

机译:SMEX02中机载C波段和X波段辐射计测量的土壤水分反演的参数敏感性

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Among passive microwave frequencies, sensors operating at C- and X-band frequencies have been used with some success to estimate near-surface soil moisture from aircraft and satellite platforms. The objective of this paper is to quantify the sensitivities of soil moisture retrieved via a single-channel single-polarization algorithm to the observed brightness temperature and to retrieval algorithm parameters of surface roughness, vegetation B parameter, and single-scattering albedo. Examination of the regions within the parameter space that produce accurate soil moisture retrievals reveals that reasonably accurate retrievals can be made over a range of conditions using a fixed set of input parameters. Retrievals with horizontally polarized brightness temperature observations are more consistent than with vertically polarized observations. At horizontal polarization, sensitivity to the input parameters is much greater for wet soils than for dry soils, whereas for vertical polarization the moisture dependence is much weaker. At vertical polarization, sensitivities to variations in all parameters are much lower. To ensure that retrieval accuracy specifications are consistently met, high soil moisture conditions should be used in defining parameter accuracy requirements. Given the spatial and temporal variability of vegetation and soil conditions, it seems unlikely that, for regions with substantial rapidly growing vegetation, the accuracy requirements for model parameters in a single-frequency, single-polarization retrieval algorithm can be met with current satellite products. For such conditions, any soil moisture retrieval algorithm using parameterizations similar to those of this study may require multiple frequencies, polarizations, or look angles to produce stable, reliable soil moisture estimates.
机译:在无源微波频率中,已使用工作在C波段和X波段频率的传感器,成功地估计了飞机和卫星平台的近地表土壤湿度。本文的目的是量化通过单通道单极化算法获取的土壤水分对观测到的亮度温度的敏感性,并获取表面粗糙度,植被B参数和单散射反照率的算法参数。对参数空间内产生准确的土壤水分反演的区域的检查表明,可以使用一组固定的输入参数在一定范围的条件下进行合理的精确反演。水平极化亮度温度观测值的检索比垂直极化观测值的检索更一致。在水平极化条件下,湿土壤对输入参数的敏感性要比干燥土壤高得多,而在垂直极化条件下,对水分的依赖性要弱得多。在垂直极化下,对所有参数变化的敏感度要低得多。为了确保一致地满足取回精度规范,在定义参数精度要求时应使用高土壤湿度条件。考虑到植被和土壤条件的时空变化,对于目前植被快速增长的地区,目前的卫星产品似乎不可能满足单频单极化检索算法中模型参数的精度要求。在这种情况下,任何使用与本研究类似的参数化方法进行土壤水分反演的算法,都可能需要多个频率,极化或视角,以产生稳定,可靠的土壤水分估计值。

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