Abstract 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.
LIANG Yueji,LAI Jianmin,REN Chao et al. Multi-Satellite Linear Regression Inversion Model for Soil Moisture Based on GNSS-IR Dual-System Combination[J]. jgg, 2022, 42(5): 477-482.
LIANG Yueji,LAI Jianmin,REN Chao et al. Multi-Satellite Linear Regression Inversion Model for Soil Moisture Based on GNSS-IR Dual-System Combination[J]. jgg, 2022, 42(5): 477-482.
