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发明公开
CN107765243A 一种基于极化分解技术的浓密植被覆盖下土壤水分反演方法 无效 - 驳回

一种基于极化分解技术的浓密植被覆盖下土壤水分反演方法
摘要：
本发明公开了一种基于极化分解技术的浓密植被覆盖下土壤水分反演方法，该方法包括如下步骤：步骤1)基于全极化RADARSAT-2数据，针对极化分解技术，研发一套雷达数据处理技术流程，获得不同散射参量分布图；步骤2)基于不同玉米生长期，尤其是浓密植被覆盖情况下，分析单次散射、偶次散射和体散射随时间变化规律；步骤3)基于Freeman_Durden、Yanaguchi和VanZyl三分量分解法，分别建立单次散射参量、偶次散射参量与地表土壤水分关系模型；步骤4)基于Freeman_Durden、Yamaguchi和VanZyl，获得玉米不同生长期土壤水分反演模型；步骤5)基于不同极化分解技术和实测数据，优选最优土壤水分反演模型，获得玉米不同生育期最优土壤水分分布图。
摘要（英）：

The invention discloses a dense vegetation-covered soil moisture inversion method based on a polarization decomposition technique. The method comprises following steps: a step 1 of researching and developing a radar data processing technique process based on full-polarization RADARSAT-2 data and aiming at the polarization decomposition technique, and obtaining different scattering parameter distribution maps; a step 2 of analyzing time-varying rules of single scattering, even scattering and volume scattering based on different corn growing periods and especially under the dense vegetation covering condition; a step of establishing relation models of the single scattering parameter, the even scattering parameter and earth surface soil moisture respectively based on a Freeman_Durden three-component decomposition method, a Yanaguchi three-component decomposition method and a VanZyl three-component decomposition method; a step 4 of obtaining soil moisture inversion models of corns in different growing periods based on the Freeman_Durden, the Yanaguchi and the VanZyl; and a step 5 of optimizing an optimal soil moisture inversion model based on different polarization decomposition techniques and measured data, and obtaining an optimal soil moisture distribution map of corns in different growing periods.

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