GNSS-R technology has been gradually applied to marine remote sensing,land detection,wind speed measurement,etc. due to its advantages of passive,all-weather,and frequent revisiting period. Thus,research on the spaceborne GNSS-R technology has received increasing attention. This paper,based on the spaceborne GNSS-R data,verified the feasibility and effectiveness of using neural networks based on the delay Doppler map(DDM) data to retrieve wind speeds,estimate soil moisture,and map the position of the sea ice by using DDM spectra.
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