Research on surface snow depth retrieval of new L5 signals from GPS

doi:10.13474/j.cnki.11-2246.2019.0208

Abstract

Abstract: Global Positioning System multipath reflected signals can be used to measure surface snow depths, which has all-weather and high spatial-temporal resolution characteristics. Therefore, GPS-R technology can be used as a new method for monitoring surface snow depths instead of meteorological stations. However, most previous studies have only used the signal-to-noise ratio (SNR) data of GPS L1 and L2C signal to detect snow depth. In order to test the superiority of GPS-R technology based the new L5 signal in snow depth retrieval, this paper describes the basic principles of GPS-R technology for retrieving snow depth and uses Lomb-Scargle periodogram method to calculate spectral amplitude of the SNR data of the reflected signals affected by the snow surface. Snow depths are obtained by using the relationship between the spectral characteristic value and the antenna height. Finally, the retrieved snow depths are compared with the results of GPS L1 signals and in situ measurements, respectively. The results show that the performance of GPS-R technology with the new L5 signal is high better in snow depth retrieval when compared with that of GPS L1-SNR signals. In addition, it is of great value for snow depth variations and freshwater resource around the GNSS station to use GPS-R technology to detect land-surface snow depths.

Key words: Global Positioning System, reflected signal, snow depth retrieval, Lomb-Scargle periodogram

CLC Number:

P228

HUANG Liangke, ZHOU Wei, LIU Lilong, CHEN Jun, WANG Haoyu. Research on surface snow depth retrieval of new L5 signals from GPS[J]. 测绘通报, 2019, 0(7): 1-5,11.

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