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Content Provider | IEEE Xplore Digital Library |
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Author | Roussel, N. Frappart, F. Ramillien, G. Darrozes, J. Baup, F. Ha, C. |
Copyright Year | 2015 |
Description | Author affiliation: GET-OMP, GRGS, Toulouse, France (Ramillien, G.) || Univ. Paul Sabatier, Toulouse, France (Roussel, N.; Frappart, F.; Darrozes, J.; Baup, F.; Ha, C.) |
Abstract | As multipaths still represent a major problem for reaching precise GNSS positioning, the mitigation of their influence has been widely investigated. However, previous studies have lately proposed to use these interferences of GNSS electromagnetic waves to estimate parameters related to the reflecting surface (e.g., antenna heights, rugosity,...). Variations of the nature of the surface is likely to modify the properties of the reflected waves, and consequently lead to variations of amplitude / phase of the signal-to-noise ratio (SNR), e.g. recorded at 1 Hz by a GNSS receiver. By analyzing the time variations of SNR measurements linked to the dielectric constant of the surrounding soil, we use a method to recover the local fluctuations of the soil moisture content. It is simply based on the obvious linear correlation between SNR amplitude / phase and retrieved antenna height time series and independent measurements of humidity probe at 2 and 5 cm depths. This method of combination is applied to determine soil moisture in a corn and soya field at Lamasquère, France, for 21 successive days. Results show a good correlation (e.g. 0.96 with GPS PRN-01 satellite) between SNR inversion and humidity probes for most satellites. |
Starting Page | 2008 |
Ending Page | 2011 |
File Size | 2951819 |
Page Count | 4 |
File Format | |
e-ISBN | 9781479979295 |
DOI | 10.1109/IGARSS.2015.7326192 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-07-26 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Global Positioning System Signal to noise ratio Satellites Soil moisture Probes Receivers Correlation SNR GNSS-R soil moisture remote sensing IPT |
Content Type | Text |
Resource Type | Article |
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