GPS-MR for Altai Snow Depth Monitoring

Snowfall as an important global freshwater resource, especially for Xinjiang Altai region in the snow all the year round, accurate and convenient snow thickness monitoring is particularly important, at present, the snow monitoring is divided into the time and space analysis of the macro snow cover and the micro snow depth monitoring. Macro monitoring are mainly composed of MODIS snow product, the micro snow depth monitoring from use of discrete meteorological point monitoring initially, laser detection, with the development of technology, satellite remote sensing monitoring has become the main trend. With the development of technology, satellite remote sensing monitoring has become a major trend. With the continuous improvement of GPS-MR snow remote sensing theory in recent years, in this paper, Altay GPS monitoring station as a demonstration using GPS-MR technology for snow monitoring research. Using the monitoring data from January 1 to March 31, 2017 for statistical analysis. The selection of satellite height Angle increase, due to the multipath effect will gradually reduce with the increase of altitude Angle, higher SNR ratio will lead to the inversion precision is decreased obviously. GPS data sampling rate has little effect on the inversion accuracy. Based on Altay GPS snow monitoring experimental station, Satellite elevation angle selection 5°–20°, the sampling rate is set to 15 s, the GPS-MR snow depth obtained is better than 0.027 m. Therefore, it is possible to make full use of the ground-based GNSS water vapor monitoring station for snow depth detection, GNSS remote sensing application potential will be brought into full play in the future environmental meteorological monitoring in our country.