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The Potential to Estimate Soil Moisture Based on sn_rnx Data

  • Juan Shan
  • Songhua Yan
  • Xueqian Luo
  • Xingxing Li
  • Hancheng Yuan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 388)

Abstract

Using Global Navigation Satellite System (GNSS) signals of BeiDou navigation satellite system (BDS) and global position system (GPS) for soil moisture estimation is an emerging technology in microwave remote sensing since soil moisture is an important index in regional water cycle research. Based on the developed forward multipath model, this study first investigates the feasibility of soil moisture estimation based on GNSS interference signals; then compares the difference between the Signal-to-Ratio (SNR) data and the signal strength (sn_rnx) data from GPS. After that, this paper analyzes the experimental data from BDS receivers and CORS stations. The analyzed results show that both fitted phase of BDS SNR data and GPS sn_rnx data will increase when the soil moisture increases, and the phase will decrease when soil moisture decreases, and the method of using sn_rnx data can obtain the change trend of soil moisture and can be used as an alternative to solve the problem that the SNR data is unavailable in many GNSS data sets.

Keywords

GNSS Soil moisture Interference signal SNR Sn_rnx 

Notes

Acknowledgments

The authors would like to acknowledge the support of the national natural science foundation of China (NSFC 41571420).

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Juan Shan
    • 1
  • Songhua Yan
    • 1
  • Xueqian Luo
    • 1
  • Xingxing Li
    • 1
  • Hancheng Yuan
    • 1
  1. 1.School of Electronic InformationWuhan UniversityWuhanChina

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