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The research on the surface environmental parameters around stations using the GNSS reflected signals is one of the research hotspots in the field of remote sensing in recent years. Based on the characteristics of GPS SNR (SignaltoNoise Ratio) and signal amplitude, this paper studies the snow depth detection algorithm using GPS SNR observations. The comparison experiment uses the operational observation data of the survey GPS receiver located in the National Meteorological Observatory in Qiqihar of Heilongjiang Province to verify the groundbased GPS inversion snow depth algorithm. The GPS inversion snow depth algorithm is verified, and the experimental comparison results show that the snow depth of groundbased GPS inversion is in good agreement with the measured values, with a standard deviation of 204 cm and a correlation coefficient of 094. Therefore, snow depth detection can be performed using the groundbased GPS observations. Using the groundbased GPS inversion snow depth technology, the meteorological departments can further carry out snow cover environmental monitoring research based on the existing groundbased GPS water vapor monitoring network.