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Using optical satellite based data to improve soil moisture retrieval from SMOS mission

机译:使用基于光学卫星的数据来改善SMOS任务的土壤水分检索

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SMOS mission will provide micro-wave soil emission data at L-band (1.4 GHz) at global scale with a half-degree spatial resolution. Inversion of model emission permits to retrieve surface soil moisture from SMOS data. These retrievals suffer from a lack of accuracy mainly because of the heterogeneity of land coverage encountered inside a given pixel. The addition of land surface parameters such as vegetation fractions coverage and surface temperature permits to overcome this problem. A feasibility study is presently undertaken with synthetic SMOS data and simulated optical satellite information. The results present significant improvements of soil moisture retrieval accuracy. A future operational scheme including these features will be of relevance for a global surface soil moisture mapping.
机译:SMOS任务将在L波段(1.4 GHz)的微波土壤排放数据以全球范围为单位的空间分辨率。模型排放的反转允许从SMOS数据中检索表面土壤水分。这些检索缺乏缺乏准确性,主要是由于给定像素内遇到的陆地覆盖的异质性。添加诸如植被分数的地表参数和表面温度允许克服这个问题。目前通过合成SMOS数据和模拟光学卫星信息进行可行性研究。结果目前对土壤水分检索精度的显着改进。未来的运营方案,包括这些特征将与全球表面土壤湿度测绘有关。

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