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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >An Extension of the Alpha Approximation Method for Soil Moisture Estimation Using Time-Series SAR Data Over Bare Soil Surfaces
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An Extension of the Alpha Approximation Method for Soil Moisture Estimation Using Time-Series SAR Data Over Bare Soil Surfaces

机译:使用时间序列SAR数据在裸土表面上估算土壤湿度的Alpha近似方法的扩展

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The objective of this letter is to extend the alpha approximation method, a method proposed by Balenzano et al., for soil moisture retrieval from multitemporal synthetic aperture radar (SAR) data. The original alpha approach requires an initial estimate of the upper and lower bound soil moisture values to constrain the soil moisture retrieval. This letter demonstrates an extension of the alpha approach by employing the juxtaposition method to adaptively set the soil moisture bounds using the absolute radar backscatter values. This extended alpha method was tested using an airborne time series of L-band SAR data and coincident ground measurements acquired during the SMAPEx-3 experiment over bare agricultural fields. The agreement between estimated and measured soil moisture values was within a root-mean-square error of 0.07 cm3/cm3 for each of the three polarization combinations used (i.e., HH, VV, and HH and VV). Moreover, inclusion of the two-polarization combination (HH and VV) slightly improved the retrieval performance. The proposed extension to the alpha method makes the most of the information contained in the SAR data time series by using dynamic, spatially explicit soil moisture bounds retrieved from the SAR data themselves.
机译:这封信的目的是扩展由Balenzano等人提出的alpha近似方法,该方法用于从多时相合成孔径雷达(SAR)数据中获取土壤水分。原始的alpha方法需要对土壤水分的上限和下限进行初始估计,以限制土壤水分的获取。这封信演示了通过采用并置方法使用绝对雷达反向散射值自适应设置土壤水分边界的方法的扩展。使用机载L波段SAR数据的时间序列和在SMAPEx-3实验期间在裸露的农田上获得的一致地面测量值对这种扩展的alpha方法进行了测试。对于所使用的三种极化组合(即HH,VV以及HH和VV)中的每一个,估计的土壤湿度值和测量的土壤湿度值之间的一致性在0.07 cm3 / cm3的均方根误差内。此外,包含两个极化组合(HH和VV)会稍微改善检索性能。提议的对alpha方法的扩展通过使用从SAR数据本身​​获取的动态的,空间上明确的土壤水分边界来充分利用SAR数据时间序列中包含的信息。

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