Phase Altimetry With Dual Polarization GNSS-R Over Sea Ice

Fabra, Fran; Cardellach, Estel; Rius, A.; Ribó, S.; Oliveras, S.; Nogués-Correig, O.; Rivas, María Belmonte; Semmling, Maximilian; D’Addio, Salvatore

doi:10.1109/tgrs.2011.2172797

Cited by 102 publications

(73 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

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

show abstract

“…The intensity ratio of the RHCP signal and the LHCP signal is called the polarization ratio (R-RHCP/R-LHCP). Fabra et al used the polarization ratio (R-RHCP/R-LHCP) model successfully in processing experimental data of sea ice in Greenland in 2009; thereby verifying the feasibility of the inversion polarization ratio model for sea ice concentration [6]. The same authors had the similar results in the permittivity of sea ice [29].…”

Section: Experiments Principlementioning

confidence: 94%

“…Fabra et al presented several capabilities (roughness estimation and ice salinity determination) of this technique in two different polar environments [26]. Fabra and Cardellach et al used the ratio of two kinds of reflection signal power to detect changes in the amount of sea ice [6], [27], [28]. Zhang et al also did a study on sea ice permittivity and achieved similar results to Rivas [29].…”

mentioning

confidence: 96%

“…However, launching an SAR satellite for high spatiotemporal resolution for sea ice detection is very expensive [5]. In contrast, Global Positioning System (GPS) offers a larger number of observations and can achieve global coverage at a lower cost (as a passive approach); an advantage that increases with the availability of GLONASS and future GALILEO and Beidou satellite constellations [6].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Detection of Bohai Bay Sea Ice Using GPS-Reflected Signals

Zhang

Meng

et al. 2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

For preventing the effects of sea ice disaster, traditional methods for detecting sea ice have some disadvantages, such as inadequate robustness against weather and high cost of real-time detection. This paper evaluates the usage of Global Positioning System (GPS)-reflected signals for accurate real-time Earth observations to study the changes in the sea surface state through remote sensing (RS). GPS L1 signals received after reflection from Bohai Bay were analyzed for their sea-ice content. The results are in good agreement with a reflected power ratio model [the ratio of the direct right-hand circular polarization (RHCP) signals and the reflected left-handed circular polarization (LHCP) signals] and sea ice concentration. The average of the reflected power ratio on the sea ice surface (0.41) is much smaller than that on the sea water surface (2.61).

show abstract

“…In [12], it performed an analysis of reflected GPS waveforms to obtain the permittivity and roughness of different types of sea ice. Then Fabra et al presented several capabilities of this technique in two different polar environments [13] [14]. Zhang Yun et al did a study on sea ice permittivity and ice concentration and achieved similar results to Rivas [15] [16].…”

Section: Introductionmentioning

confidence: 92%

Detection of sea ice based on BeiDou-reflected signals

Gao

Yang

et al. 2016

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

View full text Add to dashboard Cite

For preventing the effects of sea ice bring the serious negative impact on the maritime transport, a full-scale detection of sea ice should be performed. The BeiDou GEO satellites could provide stable geometry and better coverage in mid-and low-latitude region where most of the sea ice occur. Based on this consideration, this paper evaluates the usage of BeiDou GEO Satellites reflected signals for accurate real-time Earth observation to study the changes in the sea surface state through remote sensing. BeiDou GEO signals received after reflection from Bohai Bay were analyzed for their sea ice content. The results are in good agreement with the cluster center of the sea ice reflected correlation power and the sea water reflected correlation power. The average of the cluster center on the sea ice surface is much smaller than that on the sea water surface..

show abstract

Phase Altimetry With Dual Polarization GNSS-R Over Sea Ice

Cited by 102 publications

References 22 publications

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

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

Detection of Bohai Bay Sea Ice Using GPS-Reflected Signals

Detection of sea ice based on BeiDou-reflected signals

Contact Info

Product

Resources

About