Soil moisture content estimation is one of the important research fields in the GNSS-R (Global Navigation Satellite System Reflectometry, GNSS-R) land surface remote sensing. In recent years, many experts have done a lot of research on the theories of soil moisture estimation, receiving and processing of GNSS reflected signals, ground-based/air-borne experiment, estimation model and accuracy evaluation, which has greatly promoted the development of GNSS-R land surface remote sensing technique. Based on the previous research results, the authors built the framework of soil moisture estimation using GNSS-R and carried out the initial software implementation by integrating different estimation models. By verifying the models and functions of the software using public datasets for GNSS-R research, it is demonstrated that the software can provide effective technical support for GNSS-R data processing and model validation in soil moisture estimation.
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2017, Vol. 29 
