Parameter Measurement of Soil Moisture based on GNSS-R Signals

Soil moisture, also known as soil moisture content, plays an important role in the climate and ecological environment and it is an essential component of the water cycle. In recent years, GNSS-R remote sensing technology based on multi-path effects has provided a new and efficient monitoring method for soil moisture. This paper focuses on the principle of GNSS-R technology and reflection signal characteristics and studies the method of extracting characteristic parameters of multi-path components from SNR observation based on single-antenna mode for SNR multi-path component remote sensing. On this basis, this paper designs and develops soil moisture inversion based on Matlab platform. Based on the 31-day measured data of satellite PRN 17, a soil moisture inversion model was established from the perspective of delayed phase of SNR multi-path component.