近年来发展的利用GNSS-R技术来反演海面风速，其根本反演原理还是利用

In recent years, the use of GNSS-R technology to invert the sea surface wind speed, the fundamental inversion principle is to use the backscattering coefficient or the relationship between the scattering power and the wind speed. The ANN method can be used to process a large amount of data. The same principle is to use the GNSS power and power waveform characteristic parameters to establish its relationship and model with wind speed. Wind speed inversion using the model. It can be said that these methods are all empirical models to retrieve wind speed. Recently, the use of multi-source data fusion for wind speed inversion has improved the accuracy of wind speed. The backscatter coefficient and effective wave height measured by the active remote sensing equipment altimeter and the brightness temperature, water vapor and liquid water content (rainfall) measured by the passive radiometer can improve the wind speed retrieval accuracy (considering the effect of rainfall)

In recent years, GNSS-R technology has been developed to retrieve sea surface wind speed. Its fundamental inversion principle is to use the relationship between backscattering coefficient or scattering power and wind speed. The ANN method can be used to process a large amount of data. The same principle is to establish the relationship and model between GNSS power and wind speed by using the characteristic parameters of GNSS power and power waveform. The model is used for wind speed inversion. It can be said that these methods are empirical mode inversion of wind speed. Recently, the accuracy of wind speed inversion using multi-source data fusion has been improved. The backscattering coefficient and effective wave height measured by the altimeter of active remote sensing equipment and the brightness temperature, water vapor and liquid water content (rainfall) measured by the passive radiometer can improve the accuracy of wind speed inversion (considering the rainfall effect)

In recent years, GNSS-R technology has been developed to retrieve sea surface wind speed. The fundamental inversion principle is to use the backscattering coefficient or the relationship between scattering power and wind speed. A large amount of data can be processed by using ANN method, and the same principle is to use GNSS power and power waveform characteristic parameters to establish their relationship and model with wind speed. Wind speed inversion using the model. It can be said that these methods are all empirical models to retrieve wind speed. Recently, wind speed inversion using multi-source data fusion has improved the accuracy of wind speed. The backscattering coefficient and effective wave height measured by altimeter of active remote sensing equipment and the brightness temperature and water content (rainfall) of water vapor liquid measured by passive radiometer can improve the accuracy of wind speed inversion (considering rainfall effect).