First China ocean reflection experiment using coastal GNSS-R

Wang, Xin; Qiang, Sun; Xunxie, Zhang; Lü, Daren; Shao, Lei; Hu, Xiong; Ruffini, Giulio; Stephen, D.; Soulat, F.

doi:10.1007/s11434-008-0110-2

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…Specifically, the technique is able to measure the significant wave height, defined as the average of the trough to crest wave height of the highest 1/3 of the waves (Alonso-Arroyo et al, 2014;Goda, 2010), and which is denoted by H S herein. By analyzing the persistence of coherent reflections as a function of the satellite elevation angle, Soulat et al (2004); Alonso-Arroyo et al (2014); Xin et al (2008) demonstrated the feasibility of measuring H S with several GNSS techniques (e.g., using one antenna configuration or a configuration consisting in a one upward and one downward looking antenna, plus a linearly polarized antenna pointing to the horizon). A technique close to GNSS-IR was first proposed by Alonso-Arroyo et al (2014) using interference patterns in a single antenna configuration.…”

Section: Water Level and Wave Height Measurements Using Gnss Antennasmentioning

confidence: 99%

“…(2014); Xin et al. (2008) demonstrated the feasibility of measuring H S with several GNSS techniques (e.g., using one antenna configuration or a configuration consisting in a one upward and one downward looking antenna, plus a linearly polarized antenna pointing to the horizon). A technique close to GNSS‐IR was first proposed by Alonso‐Arroyo et al.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Simultaneous Water Level and Wave Measurements From Multi‐GNSS Interferometric Reflectometry Over 1 Year at an Exposed Coastal Site

Sepúlveda

Cao

Haase

et al. 2023

Earth and Space Science

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Introduction Standard Observations of Coastal Water Level VariationsLong-term records of water levels and waves that describe the sea state in coastal areas are essential for urban planning and the design of coastal infrastructure. They capture measurements of extreme events, such as strong extratropical and tropical cyclones, that are necessary for probabilistic estimates of hazard and mitigation efforts. They also provide important ground-truth data for marine analyses, validation data for numerical forecasts, and useful information for environmental and marine energy assessments.Because of their regularity, typical astronomic tidal variations on the order of 1-4 m of amplitude usually pose little hazard to urban infrastructure. Even large tides of up to 6 m (e.g., at Saint Malo, France and Chiloe Inland Sea, Chile) are usually not dangerous because construction has evolved to accommodate this range. Tides can

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Section: Water Level and Wave Height Measurements Using Gnss Antennasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing Simultaneous Water Level and Wave Measurements From Multi‐GNSS Interferometric Reflectometry Over 1 Year at an Exposed Coastal Site

Sepúlveda

Cao

Haase

et al. 2023

Earth and Space Science

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“…Global positioning system (GPS) reflected signal was first used for sensing ocean wind, proposed by Hall and Cordey in 1988 [4]. Since then, GNSS reflectometry has been investigated for estimating a range of geophysical parameters, including ocean altimetry [5][6][7], significant wave height [8][9][10], tsunami height and wavelength [11][12][13], snow depth [14,15], soil moisture [16], and plant coverage [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Soil Moisture Estimation by GNSS Multipath Signal

Chang

Jin

et al. 2019

Remote Sensing

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Global navigation satellite system (GNSS) multipath signals received by a geodetic-quality GNSS receiver can be used to estimate the water content of soil around the antenna. The direct signals from satellite to GNSS antenna are the most valuable signals in geodetic measurement, such as positioning, navigation, GNSS control network, deformation monitoring, and so on. However, the GNSS antenna also captures the reflected signals from the ground, which contain information of surrounding environment, so that useful information about the reflection surface can be inferred by analyzing the reflected signal. This technique is termed as GNSS-interferometric reflectometry. The signal-to-noise ratio (SNR) data recorded by a receiver contains SNR component of reflected signals, which is related to the soil moisture of the ground. The changes of soil moisture content will cause the change of soil permittivity and reflectivity which are the key factors that make further change of the SNR of reflected signals. We used the measured data to evaluate the correlation between amplitude of multipath induced SNR time series and real soil moisture. An improved soil moisture estimation algorithm based on multipath induced SNR amplitude data is proposed in this paper. The performance of the proposed soil moisture estimation method is evaluated using the 15-month data recorded by PBO H2O GNSS station and a 14-day experiment in Wuhan, China. The experimental results show that the estimated soil moisture has a strong correlation with the real soil moisture and the estimation accuracy in terms of root-mean-square error (RMSE) is 0.0345 cm3cm−3 and 0.0339 cm3cm−3, respectively. Meanwhile, the application scope of the method is given.

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“…Since then, in-depth research activities have been performed to enlarge the applications of this technology. Different research groups introduced their results to extract information of ocean wind (Garrison et al, 2002, Gleason et al, 2005, Zavorotny and Voronovich, 2000), ocean altimetry (Lowe et al, 2002, Rius et al, 2010, Rivas and Martin-Neira, 2006), sea state (Marchan-Hernandez et al, 2010, Sabia et al, 2007, Xin et al, 2008), sea ice (Komjathy et al, 2000, Rivas et al, 2010, Wiehl et al, 2003) and soil moisture (Katzberg et al, 2006, Masters et al, 2004, Rodriguez-Alvarez et al, 2009) from reflected GNSS signals through theoretical studies and experimental data analysis. However, a standard GPS receiver normally cannot access the necessary information of both direct and reflected signals.…”

Section: Introductionmentioning

confidence: 99%

Real-time Processing of Reflected GNSS Signals for Remote Sensing: System and Experiments

Yang

Zhang

et al. 2011

J. Navigation

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The GNSS-R technique brings out the need for signal receiver systems to process both direct and reflected GNSS signals. This paper describes the architecture of a new GNSS-R receiver system (GRrSv.2) that features enhanced capabilities for remote sensing based on reflected Global Positioning System (GPS) signals. Signal processing issues including DDM calculation, Carrier and Code Generation and DDM Synchronization are presented. Aircraft- and land-based verification experiments for ocean winds, ocean Significant Wave Heights (SWH) and soil moisture have been performed and some primary results are presented in this paper.

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First China ocean reflection experiment using coastal GNSS-R

Cited by 10 publications

References 14 publications

Optimizing Simultaneous Water Level and Wave Measurements From Multi‐GNSS Interferometric Reflectometry Over 1 Year at an Exposed Coastal Site

Optimizing Simultaneous Water Level and Wave Measurements From Multi‐GNSS Interferometric Reflectometry Over 1 Year at an Exposed Coastal Site

Soil Moisture Estimation by GNSS Multipath Signal

Real-time Processing of Reflected GNSS Signals for Remote Sensing: System and Experiments

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