ABSTRACT In this paper a data base of L band backscattering simulations, based on the application of a discrete scattering model and detailed ground truth collected over Argentinean wheat fields, is tested. The simulations are directly compared against backscattering measurements collected over single fields. Then the scattering model is used to tune a semi empirical and manageable model function. Finally this function, jointly with a multi-temporal algorithm, is used for soil moisture retrieval and results are tested against an independent set of measurements. The site used for training and validation is located in the Pampas region, which will be continuously monitored in the framework of the SAOCOM (SAtélite Argentino de Observación COn Microondas) programme. In general, both the direct model and the retrieval algorithm produce consistent results. However, variation in the azimuth angle of observation produces appreciable effects, and some discrepancies are observed for radar observations collected just after a rainfall. These issues deserve further investigation with a larger amount of experimental data.

中文翻译：

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阿根廷潘帕斯小麦 L 波段后向散射建模及其在土壤水分反演中的应用

摘要 在本文中，基于离散散射模型的应用和在阿根廷麦田上收集的详细地面实况，对 L 波段反向散射模拟的数据库进行了测试。模拟直接与在单个场上收集的反向散射测量值进行比较。然后使用散射模型来调整半经验和可管理的模型函数。最后，该功能与多时相算法一起用于土壤水分反演，并根据一组独立的测量结果对结果进行测试。用于培训和验证的站点位于潘帕斯地区，将在 SAOCOM（SAtélite Argentino de Observación COn Microondas）计划的框架内持续监测。一般来说，直接模型和检索算法都产生一致的结果。然而，观测方位角的变化会产生明显的影响，并且在刚下过雨后收集到的雷达观测结果会出现一些差异。这些问题值得用更大量的实验数据进一步研究。