首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >A SIMPLE ALGORITHM TO RETRIEVE SOIL MOISTURE AND VEGETATION BIOMASS USING PASSIVE MICROWAVE MEASUREMENTS OVER CROP FIELDS
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A SIMPLE ALGORITHM TO RETRIEVE SOIL MOISTURE AND VEGETATION BIOMASS USING PASSIVE MICROWAVE MEASUREMENTS OVER CROP FIELDS

机译:利用作物田上的被动微波测量反演土壤水分和植被生物量的简单算法

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A simple algorithm to retrieve soil moisture and vegetation water content from passive microwave measurements is analyzed in this study. The approach is based on a zeroth-order solution of the radiative transfer equations in a vegetation layer. In this study, the single scattering albedo accounts for scattering effects and two parameters account for the dependence of the optical thickness on polarization, incidence angle, and frequency. The algorithm requires only ancillary information about crop type and surface temperature. Retrievals of the surface parameters from two radiometric data sets acquired over a soybean and a wheat crop have been attempted. The model parameters have been fitted in order to achieve best match between measured and retrieved surface data. The results of the inversion are analyzed for different configurations of the radiometric observations: one or several look angles, L-band, C-band or (L-band and C-band). Sensitivity of the retrievals to the best fit values of the model parameters has also been investigated The best configurations, requiring simultaneous measurements at L- and C-band, produce retrievals of soil moisture and biomass with a 15% estimated precision (about 0.06 m(3)/m(3) for soil moisture and 0.3 kg/m(2) for biomass) and exhibit a limited sensitivity to the best fit parameters. [References: 32]
机译:本研究分析了一种从被动微波测量中检索土壤水分和植被含水量的简单算法。该方法基于植被层中辐射传递方程的零阶解。在这项研究中,单个散射反照率解释了散射效应,两个参数解释了光学厚度对偏振,入射角和频率的依赖性。该算法仅需要有关作物类型和地表温度的辅助信息。已经尝试从在大豆和小麦作物上获得的两个辐射数据集检索表面参数。已拟合模型参数,以实现测量和检索的表面数据之间的最佳匹配。针对辐射观测的不同配置分析了反演结果:一个或几个视角,L波段,C波段或(L波段和C波段)。还研究了取回物对模型参数的最佳拟合值的敏感性最佳配置需要在L和C波段同时进行测量,可以以15%的估计精度(约0.06 m( 3)/ m(3)(土壤水分)和0.3kg / m(2)(生物质),并且对最佳拟合参数的灵敏度有限。 [参考:32]

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