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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Estimates of surface soil moisture under grass covers using L-band radiometry
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Estimates of surface soil moisture under grass covers using L-band radiometry

机译:使用L波段辐射法估算草被下的表层土壤水分

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The scope of this study is to establish the parameters of the L-band (1.4 GHz) Microwave Emission of the Biosphere model (L-MEB) for grass covers, and to assess surface soil moisture retrievals in areas covered by grass. L-MEB parameters are key ancillary information for the Soil Moisture and Ocean Salinity mission (SMOS) retrieval algorithm that produces estimates of the surface soil moisture from measurements of the surface brightness temperature at L-band. L-band data sets from three ground-based experiments over grass are analysed in this paper: BARC (orchard grass and alfalfa), ELBARA-ETH (clover grass), and SMOSREX (grass and litter from a field left fallow). Modelling of the brightness temperature using the zero-th order radiative transfer model in L-MEB indicates that the vegetation appears isotropic to microwaves propagating with horizontal polarisation, and that the single scattering albedo can be neglected. At vertical polarisation, non-zero scattering is observed for all the grass data sets. Surface soil moisture is retrieved with enough accuracy for all data sets as long as the soil and litter emission are calibrated beforehand. Then surface soil moisture and vegetation optical depth can be left as free parameters in the retrieval process. Finally, the study highlights the importance of detecting strong emission and attenuation by wet vegetation and litter due to rainfall interception in order to obtain accurate estimates of the surface soil moisture. The study illustrates how strong rainfall interception can be flagged straightforwardly using a microwave polarisation index.
机译:这项研究的范围是建立草覆盖的生物圈模型的L波段(1.4 GHz)微波发射参数(L-MEB),并评估草覆盖区域的表层土壤水分回收。 L-MEB参数是土壤水分和海洋盐度任务(SMOS)检索算法的关键辅助信息,该算法根据L波段表面亮度温度的测量结果得出表面土壤水分的估计值。本文分析了三个基于草地的地面实验的L波段数据集:BARC(果园草和苜蓿),ELBARA-ETH(三叶草)和SMOSREX(田野中的草和凋落物)。在L-MEB中使用零阶辐射传递模型对亮度温度进行建模表明,植被对水平极化传播的微波表现出各向同性,并且可以忽略单个散射反照率。在垂直极化下,所有草丛数据集都观察到非零散射。只要预先校准土壤和垫料的排放量,就可以对所有数据集以足够的精度检索表层土壤水分。然后在检索过程中可以将地表土壤水分和植被光学深度作为自由参数。最后,这项研究强调了检测降雨引起的湿植被和凋落物强烈排放和衰减的重要性,以便获得对表层土壤水分的准确估算。这项研究说明了如何使用微波极化指数直接标记强降雨拦截。

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