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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Effect of Forward/Inverse Model Asymmetries Over Retrieved Soil Moisture Assessed With an OSSE for the Aquarius/SAC-D Mission
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Effect of Forward/Inverse Model Asymmetries Over Retrieved Soil Moisture Assessed With an OSSE for the Aquarius/SAC-D Mission

机译：水瓶座/ SAC-D任务对OSSE评估的正向/反向模型不对称性对获取的土壤水分的影响

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摘要

An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission that includes different models for forward and retrieval processes is presented. This OSSE is implemented to study the errors related to the use of simple retrieval models in passive microwave applications. To this end, a theoretical forward model was introduced, which is suitable to reproduce some of the complexities related to canopy vegetation scattering. So far, this OSSE has been successfully exploited to study the artifacts in the retrieved soil moisture associated to: 1) uncertainties and aggregation of the ancillary parameters needed for the retrieval, and 2) instrumental noise effects. In this paper, we attempt to model the influence of this “model asymmetry” (different forward and inverse model) in the estimated soil moisture. These asymmetries are related to the fact that the emissivity of real surfaces is complex and strongly dependent on land cover type and condition. In particular, surface covered by average to dense vegetation presents complex scattering properties, related to canopy structure. Using this theoretical model, the difficulties related to retrieving soil moisture from passive data with a simple model are studied. The accuracy of the soil moisture estimation is analyzed in order to illustrate the impact of discrepancies between both models. In general, retrieved soil moisture performs worse over dense vegetated areas and under wet conditions. Furthermore, accuracy is highly dependent on land cover.
机译：提出了用于水瓶座/ SAC-D任务的观测系统模拟实验（OSSE），该实验包括用于转发和检索过程的不同模型。执行此OSSE的目的是研究与在被动微波应用中使用简单检索模型有关的错误。为此，引入了理论正向模型，该模型适合于再现与冠层植被散射相关的一些复杂性。到目前为止，该OSSE已被成功用于研究与以下方面相关的土壤水分中的假象：1）不确定性和聚集所需的辅助参数，以及2）仪器噪声效应。在本文中，我们尝试对这种“模型不对称”（不同的正反模型）对估计土壤湿度的影响进行建模。这些不对称与以下事实有关：实际表面的发射率很复杂，并且强烈依赖于土地覆被的类型和条件。特别是，平均覆盖到茂密植被的表面呈现出与冠层结构有关的复杂散射特性。使用该理论模型，研究了用简单模型从被动数据中检索土壤水分的困难。为了说明两个模型之间差异的影响，分析了土壤水分估算的准确性。通常，在茂密的植被地区和潮湿的条件下，土壤水分的恢复情况较差。此外，精度高度依赖于土地覆盖。

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