基于GNSS-IR双系统组合的土壤湿度多星线性回归反演模型

Multi-Satellite Linear Regression Inversion Model for Soil Moisture Based on GNSS-IR Dual-System Combination

提出一种GPS/BDS双系统组合的土壤湿度多星线性回归反演模型,并以GNSS接收机实测数据为例,对比分析不同GPS和BDS卫星组合反演土壤湿度的效果。实验表明:(1)GPS和BDS双系统组合相对于单系统在短观测时间内可以提高有效卫星数,通过多元线性回归原理可实现双系统多卫星的有效融合,提高土壤湿度反演的精度;(2)当GPS和BDS组合卫星数达到6颗以上时,反演效果趋于稳定,反演结果与土壤湿度的相关系数均优于0.90,RMSE相对于单星至少提高25.8%。

We propose a multi-satellite linear regression inversion model of soil moisture with GPS/BDS dual-system combination.Taking the measured data from GNSS receivers as an example,we compare and analyze the effect of different GPS and BDS satellite combinations for inversion soil moisture.The experiments show that:(1)The combination of GPS and BDS dual-system can increase the number of effective satellites in the short observation time compared to the single-system.The multiple linear regression principle can achieve the effective fusion for dual-system satellites,which can improve the accuracy of soil moisture inversion.(2)When the combined number of GPS and BDS satellites reaches 6 or more,the inversion effect tends to be stable,and the correlation coefficients of their inversion results and soil moisture are all greater than 0.90,and the RMSE is improved by at least 25.8%compared with that of single satellite.