Reflectometry With an Open-Source Software GNSS Receiver: Use Case With Carrier Phase Altimetry

Lestarquit, Laurent; Peyrezabes, Mathieu; Darrozes, José; Motte, Erwan; Roussel, Nicolas; Wautelet, Gilles; Frappart, Frédéric; Ramillien, Guillaume; Biancale, R.; Zribi, Mehrez

doi:10.1109/jstars.2016.2568742

Cited by 30 publications

(23 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Three synchronized streams of raw data, centered on the GPS L1 frequency (1.57 GHz), were continuously acquired at 10 MSPS: one from the zenith-pointing RHCP antenna and two from the nadir-pointing antenna, in the RHCP and LHCP polarizations. The data were then processed offline to extract the GPS L1 signal waveforms, with a coherent integration time of 20 ms. After correcting for the antenna radiation pattern and receiver noise [30,31], the individual waveform maxima were averaged incoherently for 240 ms, allowing the GNSS-R observables to be computed.…”

Section: Airborne Campaignsmentioning

confidence: 99%

See 1 more Smart Citation

Potential Applications of GNSS-R Observations over Agricultural Areas: Results from the GLORI Airborne Campaign

et al. 2018

Self Cite

View full text Add to dashboard Cite

Abstract:The aim of this study is to analyze the sensitivity of airborne Global Navigation Satellite System Reflectometry (GNSS-R) on soil surface and vegetation cover characteristics in agricultural areas. Airborne polarimetric GNSS-R data were acquired in the context of the GLORI'2015 campaign over two study sites in Southwest France in June and July of 2015. Ground measurements of soil surface parameters (moisture content) and vegetation characteristics (leaf area index (LAI), and vegetation height) were recorded for different types of crops (corn, sunflower, wheat, soybean, vegetable) simultaneously with the airborne GNSS-R measurements. Three GNSS-R observables (apparent reflectivity, the reflected signal-to-noise-ratio (SNR), and the polarimetric ratio (PR)) were found to be well correlated with soil moisture and a major vegetation characteristic (LAI). A tau-omega model was used to explain the dependence of the GNSS-R reflectivity on both the soil moisture and vegetation parameters.

show abstract

Section: Airborne Campaignsmentioning

confidence: 99%

“…The GLORI processing chain comprises eight main steps and makes use of the raw data stream, and the GPS ephemeris and flight ancillary data as inputs [30,31]:…”

Section: Gnss-r Data Processingmentioning

confidence: 99%

Potential Applications of GNSS-R Observations over Agricultural Areas: Results from the GLORI Airborne Campaign

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Global Navigation Satellite Systems-reflectometry (GNSS-R) technique has demonstrated a strong potential for the monitoring of sea surface variations since the mid-90s based on waveform analysis [19][20][21]. Nowadays, for monthly to interannual monitoring, SSH variations are mostly derived from the processing of the Signal-to-Noise Ratio (SNR) that was acquired by a geodetic GNSS receiver [22][23][24][25]. GNSS geodetic stations that are part of the national and international permanent GNSS networks and located in coastal areas can be used as "opportunistic" tide gauge, according to , when they record the SNR data.…”

Section: Introductionmentioning

confidence: 99%

Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records

Frappart

et al. 2019

Remote Sensing

Self Cite

View full text Add to dashboard Cite

In this study, three months of records (January–March 2010) that were acquired by a geodetic Global Navigation Satellite Systems (GNSS) station from the permanent network of RGP (Réseau GNSS Permanent), which was deployed by the French Geographic Institute (IGNF), located in Socoa, in the south of the Bay of Biscay, were used to determine the tide components and identify the signature of storms on the signal to noise ratio (SNR) during winter 2010. The Xynthia storm hit the French Atlantic coast on the 28th of February 2010, causing large floods and damages from the Gironde to the Loire estuaries. Blind separation of the tide components and of the storm signature was achieved while using both a singular spectrum analysis (SSA) and a continuous wavelet transform (CWT). A correlation of 0.98/0.97 and root mean square error (RMSE) of 0.21/0.28 m between the tide gauge records of Socoa and our estimates of the sea surface height (SSH) using the SSA and the CWT, respectively, were found. Correlations of 0.76 and 0.7 were also obtained between one of the modes from the SSA and atmospheric pressure from a meteorological station and a mode of the SSA. Particularly, a correlation reaches to 0.76 when using both the tide residual that is associated to surges and atmospheric pressure variation.

show abstract

“…Even specific GNSS-R space-based missions have been planned by different space agencies [3,16,17]. Furthermore, more remote sensing applications have been also proposed and validated through experimental campaigns, such as: soil moisture monitoring [7,18,19,20,21,22,23,24,25], snow monitoring [26,27,28,29,30,31,32], sea-ice monitoring [33,34], ground and calm water altimetry [35,36,37,38,39,40,41,42,43] and biomass estimation [44,45]. …”

Section: Introductionmentioning

confidence: 99%

Derivation of the Cramér-Rao Bound in the GNSS-Reflectometry Context for Static, Ground-Based Receivers in Scenarios with Coherent Reflection

Ribot

Botteron

Farine

2016

Sensors

View full text Add to dashboard Cite

The use of the reflected Global Navigation Satellite Systems’ (GNSS) signals in Earth observation applications, referred to as GNSS reflectometry (GNSS-R), has been already studied for more than two decades. However, the estimation precision that can be achieved by GNSS-R sensors in some particular scenarios is still not fully understood yet. In an effort to partially fill this gap, in this paper, we compute the Cramér–Rao bound (CRB) for the specific case of static ground-based GNSS-R receivers and scenarios where the coherent component of the reflected signal is dominant. We compute the CRB for GNSS signals with different modulations, GPS L1 C/A and GPS L5 I/Q, which use binary phase-shift keying, and Galileo E1 B/C and E5, using the binary offset carrier. The CRB for these signals is evaluated as a function of the receiver bandwidth and different scenario parameters, such as the height of the receiver or the properties of the reflection surface. The CRB computation presented considers observation times of up to several tens of seconds, in which the satellite elevation angle observed changes significantly. Finally, the results obtained show the theoretical benefit of using modern GNSS signals with GNSS-R techniques using long observation times, such as the interference pattern technique.

show abstract

Reflectometry With an Open-Source Software GNSS Receiver: Use Case With Carrier Phase Altimetry

Cited by 30 publications

References 18 publications

Potential Applications of GNSS-R Observations over Agricultural Areas: Results from the GLORI Airborne Campaign

Potential Applications of GNSS-R Observations over Agricultural Areas: Results from the GLORI Airborne Campaign

Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records

Derivation of the Cramér-Rao Bound in the GNSS-Reflectometry Context for Static, Ground-Based Receivers in Scenarios with Coherent Reflection

Contact Info

Product

Resources

About