Abstract
With the continuous improvement of Global Navigation Satellite System (GNSS) theory, the signal-to-noise ratio (SNR) of a GNSS reflectometry signal can be applied to detect snow depth. However, there are still some issues, such as insufficient observation data, low detection precision, etc. To solve the above problems, this paper uses the SNR reflectometry data of GLONASS L1 and L2 to detect snow depth in Yellowknife, Canada, from July 2015 to June 2016. Then we analyzed the L1 and L2 SNR-derived snow depths and the average snow depths. The results show that snow depth detected using the two SNR signals can reach centimeter level. There is weak bias and strong correlation when comparing the detected snow depth based on which single-frequency SNR observations with in situ measurements are used. For L1 and L2 SNR-derived snow depths in a separate 365-day campaign, the former bias is superior to the latter. Both RMSE values are 4.5 and 2.6 cm. The stability of L2 SNR-derived snow depth was improved by over 40% than that of L1 SNR. The average snow depths detected using the two SNR signals have no significant improvement on the precision, but improve the spatial resolution because of more satellites. The experimental results show that the applications of GNSS technology can be further extended by GLONASS-MR technology based on L2 reflectometry signals.
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Acknowledgements
This work was sponsored by the National Natural Foundation of China (41704027; 41664002); the “Ba Gui Scholars” program of the provincial government of Guangxi; Guangxi Natural Science Foundation of China (2017GXNSFBA198139; 2017GXNSFDA198016); the Guangxi Key Laboratory of Spatial Information and Geomatics (16-380-25-01); and the basic ability promotion program for young and middle-aged teachers of Guangxi (KY2016YB189). The authors would like to thank the International GNSS Service Center (IGS) for providing the GPS observation and the National Climatic Data Center (NCDC) for providing the in situ snow depth data.
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Zhou, W., Liu, L., Huang, L., Chen, J., Li, S. (2018). Snow Depth Detection Based on L2 SNR of GLONASS Satellites and Multipath Reflectometry. In: Sun, J., Yang, C., Guo, S. (eds) China Satellite Navigation Conference (CSNC) 2018 Proceedings. CSNC 2018. Lecture Notes in Electrical Engineering, vol 497. Springer, Singapore. https://doi.org/10.1007/978-981-13-0005-9_19
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DOI: https://doi.org/10.1007/978-981-13-0005-9_19
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