BDS/GPS多卫星解译土壤湿度变化研究

Research on variation of soil moisture retrieval by BDS/GPS

针对单颗卫星结果易跳变且无法有效表征土壤湿度时空尺度特征的问题,提出了一种多卫星赋权融合解译土壤湿度变化的算法。该方法无需额外观测值仅使用卫星直射和反射信号强度来确定权值,并通过实测GNSS数据进行了验证。研究结果表明,卫星赋权融合结果有效综合了不同卫星间的信息,提高了土壤湿度解译值与实测值间的一致性,BDS/GPS融合结果的相关系数分别达到了0.849和0.729,较单颗卫星的结果至少提升了15.51%和17.01%。因此,多卫星融合解译结果可作为土壤湿度实测值的更优估计,为简便且高效地监测土壤湿度提供了新手段。

Aiming at the problem that the result of a single satellite was easy to jump and could not effectively characterize the temporal and spatial scale characteristics of soil moisture,this paper proposed a multi-satellite weighted fusion algorithm to retrieve soil moisture changes,the method required no additional observations and only used the direct and reflected satellite signal strength to determine the weights,the experiment was verified by measured GNSS data.Preliminary research results showed that the satellite weighting fusion results effectively integrated the information between different satellites and improved the consistency between the retrieval value of soil moisture and the measured value,the correlation coefficients of the BDS and GPS fusion results reached 0.849 and 0.729,respectively,which were at least 15.51%and 17.01%higher than the results of a single satellite.Therefore,the multi-satellite fusion retrieval results could be used as a better estimate of soil moisture,which provided a new method for simple and efficient monitoring of soil moisture.