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Simultaneous retrievals of soil moisture and vegetation biomass from multi-configuration passive microwave measurements

机译:来自多配置无源微波测量的土壤水分和植被生物量的同时检索

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A modeling approach is implemented to retrieve simultaneously soil and vegetation parameters from low-frequency microwave observations. The microwave observations were performed over a wheat field at L- and C-band. The model algorithm is based on a simple radiative transfer approach. The optical thickness /spl tau/ is assumed to be proportional to the vegetation water content VWC. Two model parameters are used: r/sub /spl tau// and C/sub pol/. The parameter r/sub /spl tau// is the ratio of the optical thickness at L- and C-band. The parameter C/sub pol/ is used to parameterize /spl tau/ as a function of view angle and polarization. Using the inversion algorithm based on microwave and thermal infrared measurements, both soil moisture and VWC are retrieved during the vegetation cycle and during a four-hour irrigation phase. The study shows the inversion algorithm can provide accurate estimates of both soil moisture and vegetation biomass. The analysis also clearly demonstrates the high potential of the low-frequency passive microwave observations to monitor soil and vegetation characteristics.
机译:实施建模方法以从低频微波观测到同时检索土壤和植被参数。在L-和C波段的麦田中进行微波观察。模型算法基于简单的辐射传输方法。假设光学厚度/ SPL TAU /与植被水含量VWC成比例。使用两个型号参数:R / SUB / SPL TAU //和C / SUB POL /。参数R / Sub / SPL TAU //是L-和C波段的光学厚度的比率。参数c / sub pol /用于参数化/ spl tau /作为视角和极化的函数。使用基于微波和热红外测量的反演算法,在植被周期和四小时灌溉阶段期间检索土壤水分和VWC。该研究表明反演算法可以提供土壤水分和植被生物量的准确估计。分析还清楚地证明了低频被动微波观测的高潜力,以监测土壤和植被特征。

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