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Using the BDS-R Signal for Soil Moisture Estimation

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China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 388))

Abstract

BeiDou Navigation Satellite System Reflectometry (BDS-R) is an emerging area of BeiDou (BD) applications that use reflected signals in microwave remote sensing. Soil moisture (SM) estimation by using the BD GEO signals are more favorable than the GPS signals, since the fixed elevation angle, the fixed height of orbit, the fixed satellite coverage. In this study, the principle of SM measuring by BDS-R is described. First the signal-to-noise ratio (SNR) data of BD directed and reflected signals are collected though the right-hand circular polarization (RHCP) and left-hand circular polarization (LHCP) antenna, then the SNR data is extracted and the reflection coefficient is computed, at last, the variance of the reflection coefficient is calculated and the empirical model between in situ SM and the variance is established. One month of experimental data are collected at BaoXie, WuHan, and analyzed for further inversion. Experimental results show that the variance of reflection coefficient increases when SM increases and decreases when SM decreases. We can conclude that using BDS-R to retrieve SM is feasible, which will expand the application field of the BD system.

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References

  1. Jin SG, Feng GP, Gleason S (2011) Remote sensing using GNSS signals: current status and future directions. Adv Space Res 47(10):1645–1653

    Article  Google Scholar 

  2. Jacobson MD (2010) Snow-covered lake ice in GPS multipath reception—theory and measurement. Adv Space Res 46(2):221–227

    Article  Google Scholar 

  3. Hajj GA, Zuffada C (2003) Theoretical description of a bistatic system for ocean altimetry using the GPS signal. Radio Sci 38(5):1089

    Google Scholar 

  4. Yan S, Li Z, Yu K, Zhang K (2014) GPS-R L1 interference signal processing for soil moisture estimation: an experimental study. EURASIP J Adv Signal Process 2014(1):1–13

    Article  Google Scholar 

  5. Larson KM, Braun JJ, Small EE, Zavorotny VU, Gutmann ED, Bilich AL (2010) GPS multipath and its relation to near-surface soil moisture content. IEEE J-STARS 3(1):91–99

    Google Scholar 

  6. Masters D, Zavorotny V, Katzberg S, Emery W (2000) GPS signal scattering from land for moisture content determination. In: Editor proceedings of the international geoscience and remote sensing symposium. Pub Place, Honolulu, USA, pp 3090–3092

    Google Scholar 

  7. Larson KM, Löfgren JS, Haas R (2013) Coastal sea level measurements using a single geodetic GPS receiver. Adv Space Res 51(8):1301–1310

    Article  Google Scholar 

  8. Lu C, Li X, Nilsson T, Ning T, Heinkelmann R, Ge M et al (2015) Real-time retrieval of precipitable water vapor from GPS and BeiDou observations. J Geodesy 1–14

    Google Scholar 

  9. Yang Y, Li J, Wang A, Xu J, He H, Guo H et al (2014) Preliminary assessment of the navigation and positioning performance of BeiDou regional navigation satellite system. Science China (Earth Sciences) 01:144–152 (01 Jan 2014)

    Google Scholar 

  10. Fernandez-Moran R, Wigneron JP, Lopez-Baeza E, Al-Yaari A, Coll-Pajaron A, Mialon A et al (2015) Roughness and vegetation parameterizations at L-band for soil moisture retrievals over a vineyard field. Remote Sens Environ 170:269–279

    Article  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the support of the National Natural Science Foundation of China (NSFC 41571420).

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Correspondence to Xueqian Luo .

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© 2016 Springer Science+Business Media Singapore

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Luo, X., Yan, S., Shan, J., Yan, H., Wang, H. (2016). Using the BDS-R Signal for Soil Moisture Estimation. In: Sun, J., Liu, J., Fan, S., Wang, F. (eds) China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 388. Springer, Singapore. https://doi.org/10.1007/978-981-10-0934-1_17

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  • DOI: https://doi.org/10.1007/978-981-10-0934-1_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0933-4

  • Online ISBN: 978-981-10-0934-1

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