被动微波遥感土壤水分代价函数构建研究

发布时间：2018-04-11 05:34

本文选题：土壤水分 + 被动微波遥感　；参考：《科学技术与工程》2017年12期

【摘要】：在被动微波遥感土壤水分的传统代价函数中,默认垂直极化(V)和水平极化(H)地表微波辐射率观测数据对代价函数值的贡献是相同的;但二者对土壤水分敏感性不同的事实导致设定贡献相同的做法值得商榷。利用AIEM模拟数据集计算不同极化地表微波辐射率对土壤水分及土壤粗糙度的敏感性;并以敏感性程度来定量不同极化地表微波辐射率对反演土壤水分信息的贡献度,发展了裸露地表条件下的双极化被动微波地表辐射率协同提取土壤水分的代价函数。利用模拟数据集,对土壤水分反演算法中传统代价函数和本文发展的代价函数进行了对比。结果表明,在代价函数中考虑不同极化地表微波辐射率数据对土壤水分的敏感性差异,可有效提高裸露地表土壤水分的反演精度。
[Abstract]:In the traditional cost function of passive microwave remote sensing of soil moisture, the contribution of surface microwave emissivity observation data to the value of the cost function is the same as that of the default vertical polarization (V) and horizontal polarization (H).But the fact that the two have different sensitivity to soil moisture leads to the same contribution.The sensitivity of microwave emissivity to soil moisture and soil roughness was calculated by using AIEM simulation data set, and the contribution of microwave radiance of different polarization surface to the retrieval of soil water information was quantified by the sensitivity degree.The cost function of soil moisture extraction under the condition of bare surface was developed.In this paper, the traditional cost function in soil moisture inversion algorithm and the cost function developed in this paper are compared with the simulated data set.The results show that considering the sensitivity of microwave radiance data of different polarizations to soil moisture in the cost function can effectively improve the retrieval accuracy of bare surface soil moisture.
【作者单位】：中国石油大学(华东)理学院;
【基金】：国家自然科学基金(41201336,41471353) 中央高校基本科研业务费专项资金(15CX05056A,14CX02143A)资助
【分类号】：S152.7

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