Soil Moisture Retrieval Utilizing GNSS Interference Signal Amplitude

doi:10.11947/j.AGCS.2016.20160145

Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (11): 1293-1300.doi: 10.11947/j.AGCS.2016.20160145

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Soil Moisture Retrieval Utilizing GNSS Interference Signal Amplitude

HAN Mutian¹, ZHANG Bo¹, YANG Dongkai¹, HONG Xuebao¹, YANG Lei², SONG Shuhui³

1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China;
2. College of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China;
3. Beijing Vegetable Research Center, Beijing 100097, China

Received:2016-04-05 Revised:2016-09-06 Online:2016-11-20 Published:2016-12-03
Supported by:
Beijing Nova Programme Interdisciplinary Cooperation Project(No.xxjc201603); Intelligent Agricultural Equipment Research and Development Project of Shandong Agricultural University(No. 2015-16); Saline Alkali Land Improvement and Utilization Project of Shandong Agricultural University(No. 2014-IV-4)

Abstract

Abstract: A soil moisture retrieval model was developed using GNSS interference signal amplitude, according to the interference phenomenon and GNSS receiver SNR estimation method. Antenna gain, soil permittivity and noise effect was considered in this model. The AMPD algorithm was used to extract the interference peaks and valleys from noisy normalized interference power which were then used to retrieve soil permittivity and moisture, and a simulation was performed to verify its feasibility. Results showed that the soil moisture retrieval performance using interference valleys was better compared to that using peaks, the relatively stable retrieval elevation angle range is 5°~25°, and the retrieved value was more accurate when moisture is larger than 0.06 cm³/cm³,with the standard deviation around 0.01 cm³/cm³.

Key words: soil moisture measurement, interference power, peak detection, SNR, soil permittivity

CLC Number:

P237

HAN Mutian, ZHANG Bo, YANG Dongkai, HONG Xuebao, YANG Lei, SONG Shuhui. Soil Moisture Retrieval Utilizing GNSS Interference Signal Amplitude[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(11): 1293-1300.

References

[1] ZAVOROTNY V U, VORONOVICH A G. Scattering of GPS Signals from the Ocean with Wind Remote Sensing Application[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(2): 951-964.
[2] WANG Feng, YANG Dongkai, LI Weiqiang, et al. A New Retrieval Method of Significant Wave Height Based on Statistics of Scattered BeiDou GEO Signals[C]//Proceedings of the 28th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+2015). Tampa, Florida: Tampa Convention Center, 2015: 3953-3957.
[3] EGIDO A, RUFFINI G, CAPARRINI M, et al. Soil Moisture Monitorization Using GNSS Reflected Signals[J]. arXiv preprint arXiv:0805.1881, 2008.
[4] 邹文博, 张波, 洪学宝, 等. 利用北斗GEO卫星反射信号反演土壤湿度[J]. 测绘学报, 2016, 45(2): 199-204. DOI: 10.11947/j.AGCS.2016.20150135. ZOU Wenbo, ZHANG Bo, HONG Xuebao, et al. Soil Moisture Retrieval Using Reflected Signals of BeiDou GEO Satellites[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(2): 199-204. DOI: 10.11947/j.AGCS.2016.20150135.
[5] RODRIGUEZ-ALVAREZ N, BOSCH-LLUIS X, CAMPS A, et al. Water Level Monitoring Using the Interference Pattern GNSS-R Technique[C]//Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium. Vancouver, BC, Canada: IEEE, 2011: 2334-2337.
[6] CHEN Qiang, WON D, AKOS D M. Snow Depth Sensing Using the GPS L2C Signal with a Dipole Antenna[J]. EURASIP Journal on Advances in Signal Processing, 2014, 2014: 106.
[7] RODRIGUEZ-ALVAREZ N, MARCHAN J F, CAMPS A, et al. Soil Moisture Retrieval Using GNSS-R Techniques: Measurement Campaign in a Wheat Field[C]//Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, Massachusetts: IEEE, 2008: Ⅱ-245-Ⅱ-248.
[8] ARROYO A A, CAMPS A, AGUASCA A, et al. Dual-Polarization GNSS-R Interference Pattern Technique for Soil Moisture Mapping[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(5): 1533-1544.
[9] LARSON K M, SMALL E E, GUTMANN E, et al. Using GPS Multipath to Measure Soil Moisture Fluctuations: Initial Results[J]. GPS Solutions, 2008, 12(3): 173-177.
[10] ZAVOROTNY V U, LARSON K M, BRAUN J J, et al. A Physical Model for GPS Multipath Caused by Land Reflections: Toward Bare Soil Moisture Retrievals[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010, 3(1): 100-110.
[11] CHEW C C, SMALL E E, LARSON K M, et al. Effects of Near-Surface Soil Moisture on GPS SNR Data: Development of a Retrieval Algorithm for Soil Moisture[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 537-543.
[12] YAN Songhua, LI Zhengyong, YU Kegen, et al. GPS-R L1 Interference Signal Processing for Soil Moisture Estimation: An Experimental Study[J]. EURASIP Journal on Advances in Signal Processing, 2014, 2014: 107.
[13] 万玮, 李黄, 洪阳, 等. GNSS-R遥感观测模式及陆面应用[J]. 遥感学报, 2015, 19(6): 882-893. WAN Wei, LI Huang, HONG Yang, et al. Definition and Application of GNSS-R Observation Patterns[J]. Journal of Remote Sensing, 2015, 19(6): 882-893.
[14] ROUSSEL N, FRAPPART F, RAMILLIEN G, et al. Detection of Soil Moisture Content Changes by Using a Single Geodetic Antenna: The Case of an Agricultural Plot[C]//Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium. Milan, Italy: IEEE, 2015.
[15] NIEVINSKI F G, LARSON K M. An Open Source GPS Multipath Simulator in Matlab/Octave[J]. GPS Solutions, 2014, 18(3): 473-481.
[16] SCHOLKMANN F, BOSS J, WOLF M. An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals[J]. Algorithms, 2012, 5(4): 588-603.
[17] 万玮, 李黄, 洪阳. 作为外辐射源雷达的GNSS-R遥感多极化问题[J]. 雷达学报, 2014, 3(6): 641-651. WAN Wei, LI Huang, HONG Yang. Issues on Multi-polarization of GNSS-R for Passive Radar Detection[J]. Journal of Radars, 2014, 3(6): 641-651.
[18] SATYANARAYANA S, BORIO D, LACHAPELLE G. C/N0 Estimation: Design Criteria and Reliability Analysis under Global Navigation Satellite System (GNSS) Weak Signal Scenarios[J]. IET Radar, Sonar & Navigation, 2012, 6(2): 81-89.
[19] WANG J R, SCHMUGGE T J. An Empirical Model for the Complex Dielectric Permittivity of Soils as a Function of Water Content[J]. IEEE Transactions on Geoscience and Remote Sensing, 1980, GE-18(4): 288-295.
[20] SCARGLE J D. Studies in Astronomical Time Series Analysis. Ⅱ-Statistical Aspects of Spectral Analysis of Unevenly Spaced Data[J]. Astrophysical Journal, 1982, 263: 835-853.
[21] NEHORAI A, PORAT B. Adaptive Comb Filtering for Harmonic Signal Enhancement[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986, 34(5): 1124-1138.
[22] BILICH A, LARSON K M, AXELRAD P. Modeling GPS Phase Multipath with SNR: Case Study from the Salar de Uyuni, Boliva[J]. Journal of Geophysical Research: Solid Earth, 2008, 113(B4): B04401.

Soil Moisture Retrieval Utilizing GNSS Interference Signal Amplitude

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