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A Model of Surface Roughness for Use in Passive Remote Sensing of Bare Soil Moisture

机译:裸露土壤水分被动遥感中的表面粗糙度模型

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Spaceborne radiometers operating near 1.4 GHz are the primary instrument for recent efforts to remotely sense nearsurface soil moisture around the globe. Generally, these instruments must contend with the effects of vegetation growing in the soil. However, an important first step is to model the measurements made by a radiometer that is viewing bare (vegetation-free) soil. The proposed model uses a matching layer and a random depolarizer to describe bare soil surface roughness and some aspects of antenna beamwidth. The model suggests that the effects of nearsurface soil moisture and roughness upon the radiometer measurement are more distinct than is currently thought. Furthermore, it appears that both moisture and roughness can be retrieved from a single set of radiometer measurements made at orthogonal linear polarizations. This retrieval precision is predicted to be poor at soil observation angles near nadir but improves for larger angles. At observation angles near 50 $^{circ}$, the vertically polarized radiometer measurements are predicted to be nearly insensitive to roughness. A convenient parameterization of the model is provided and permits quick implementation.
机译:运行在1.4 GHz附近的星载辐射计是最近为遥测全球范围内近地表土壤湿度的主要仪器。通常,这些工具必须应对土壤中植被生长的影响。但是,重要的第一步是对通过辐射计观察裸露(无植被)土壤的测量结果进行建模。提出的模型使用匹配层和随机去极化器来描述裸露的土壤表面粗糙度和天线波束宽度的某些方面。该模型表明,近地表土壤水分和粗糙度对辐射计测量的影响比目前认为的要明显得多。此外,似乎可以从在正交线性极化下进行的一组辐射计测量中获得水分和粗糙度。预计在接近最低点的土壤观察角度下,该取回精度较差,但对于较大角度,则取回精度会提高。在接近50°的观察角处,预测垂直极化辐射计的测量值对粗糙度几乎不敏感。提供了方便的模型参数化,并允许快速实施。

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