Application of GNSS Interferometric Reflectometry for the Estimation of Lake Ice Thickness

Ghiasi, Yusof; Duguay, Claude R.; Murfitt, Justin; Sanden, J.J. van der; Thompson, Aaron; Drouin, H.; Prévost, C

doi:10.3390/rs12172721

Cited by 23 publications

(17 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the detection method based solely on the damping factor may be not optimal. Yusof et al [32]conducted an ice thickness study based on data from GNSS equipment placed on the ice surface and used a principle similar to tide and water level monitoring to detect the height between the antenna phase center and the ice-water interface to obtain the ice thickness indirectly, with an accuracy of 7 cm. Meanwhile, it confirms the penetration of reflected GNSS signals in the multilayer surface.…”

mentioning

confidence: 99%

Sea Surface States Detection in Polar Regions Using Measurements of Ground-Based GNSS Interferometric Reflectometry

Song

Jia

et al. 2022

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

This paperanalyzes the interferometric measurements of ground-based Global Navigation Satellite Systems (GNSS) stations and proposes a novel method for sea surface states detection. The novel technique benefits from a costeffective data collection from a large number of global GNSS stations. In this study, we extend a traditional GNSS interferometry reflectometry (GNSS-IR) model so that it can be applied to a multilayer surface by considering the surface roughness, total reflectivity, and penetration loss in multilayer situations. Based on this model, the wavelet analysis is used to perform parameterization on the interferometric observations represented by the Signal to Noise Ratio (SNR). An integration factor and power curve are also proposed to characterize the surface state transition. One-year data from an Arctic geodetic GNSS station in the north of Canada are collected for analysis to validate the proposed approach with comparisons to the existing methods based on the amplitude and damping factors. The results show that the new method demonstrates good usability and sensitivity to detect surface state transitions, eg. icing, snowfall, and snow melting. However, the amplitude and damping factorbased methods derived from the single-layer model are only able to detect the pure ice surface and cannot respond to thick snow conditions. Finally, the high-resolution spaceborne images confirm the reliability of this method, exhibiting a great potential for long-term coastal sea surface detection based on the global geodetic GNSS stations and later being expected to be applied to sense cryosphere surface states.

show abstract

mentioning

confidence: 99%

Sea Surface States Detection in Polar Regions Using Measurements of Ground-Based GNSS Interferometric Reflectometry

Song

Jia

et al. 2022

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

show abstract

“…3. The height parameter of the GNSS antenna to the desired level (here, sea level) can be obtained using the interference between direct and reverse signals (obtained by SNR observations) as follows (Rover and Vitti 2019;Ghiasi 2020;Wang et al 2018 andFarzaneh et al 2021):…”

Section: Basics Water Level Measurement Using Gnss-ir Methodsmentioning

confidence: 99%

“…(2) AD = 2H sin (e) where f M is a frequency (predominant multipath frequency in SNR data) that can be calculated using various methods such as the least-square harmonic estimation (LS-HE) or Lomb-Scargle periodogram (LSP) methods. In this study, we use the LS-HE method to determine f M (presented in supplementary materials) (Amiri-Simkooei et al 2007;Ghiasi et al 2020;Farzaneh et al 2021).…”

Section: Basics Water Level Measurement Using Gnss-ir Methodsmentioning

confidence: 99%

A study on the quality of GNSS signals for extracting the sea level height and tidal frequencies utilizing the GNSS-IR approach

et al. 2023

View full text Add to dashboard Cite

Coastal global navigation satellite system (GNSS) stations equipped with a standard geodetic receiver and antenna enable water level measurement using the GNSS interferometry reflectometry (GNSS-IR) technique. By using GNSS-IR, the vertical distance between the antenna and the reflector surface (e.g., water surface) can be obtained in the vertical (height) reference frame. In this study, the signal-to-noise ratio (SNR) data from four selected stations over three months are used for this purpose. We determined the predominant multipath frequency in SNR data that is obtained using Lomb-Scargle periodogram (LSP) method. The obtained sea surface heights (SSH) are assessed using tide gauge observations regarding accuracy and correlation coefficients. In this study, we investigated daily and hourly GNSS observations and used single frequencies of GPS (L1, L2 and L5), GLONASS (L1 and L2), Galileo (L1, L5, L6, L7 and L8), and BeiDou (L2 and L7) signals to estimate the SSH. The results show that the optimal signals for extracting the SSH are the L1 signal for the GPS, Galileo, and GLONASS systems and the L2 signal for the BeiDou system. The accuracy and correlation parameters for the optimal GPS signal in the daily mode are 2 cm and 0.87, respectively. The same parameters for the optimal GLONASS signal are 4 cm and 0.91. However, the obtained accuracy and correlation coefficients using the best Galileo and BeiDou signals are reduced, i.e., 4 cm and 0.88 using Galileo and 12 cm and 0.52 by employing the Galileo signals, respectively. Our results also show that the GPS L1 signal is more consistent with the tide gauge data. In the following, using the time series derived from the L1 signal and tide gauge readings, the tidal frequencies are extracted and compared using the Least Square Harmonic Estimation (LS-HE) approach. The findings demonstrate that 145 significant tidal frequencies can be extracted using the GNSS-IR time series. The existence of an acceptable correlation between the tidal frequencies of the GNSS-IR and the tide gauge time series indicates the usefulness of the GNSS-IR time series for tide studies. From our results, we can conclude that the GNSS-IR technique can be applied in coastal locations alongside tide gauge measurements for a variety of purposes.

show abstract

“…Spaceborne GNSS Reflectometry (GNSS-R) is an emerging remote sensing technology for reflecting soil moisture over a large area due to its advantages of a wide signal source, large data volume, short revisit time, low cost and low power consumption, etc. Its frequency band and high spatial-temporal resolution can effectively compensate for the shortcomings of optical remote sensing, which is easily obscured by clouds, and the low spatial resolution of microwave remote sensing products [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

The Correction Method of Water and Fresnel Reflection Coefficient for Soil Moisture Retrieved by CYGNSS

Wang,

Sun,

Chang

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

Spaceborne GNSS-R technology is a new remote sensing method for soil moisture monitoring. Focusing on the significant influence of water on the surface reflectivity of CYGNSS, this paper improved the removal method of water influence according to the spatial resolution of CYGNSS data. Due to the disturbance effect of the incident angle, microwave frequency and soil type on the Fresnel reflection coefficient in surface reflectivity, a normalization method of Fresnel reflection coefficient was proposed after analyzing the data characteristics of variables in the Fresnel reflection coefficient. Finally, combined with the soil moisture retrieval method of linear equation, the accuracy was compared and verified by using measured data, SMAP products and official CYGNSS products. The results indicate that the normalization method of the Fresnel reflection coefficient could effectively reduce the influence of relevant parameters on the Fresnel reflection coefficient, but the normalization effect became worse at large incident angles (greater than 65°). Compared with the official CYGNSS product, the retrieval accuracy of optimized soil moisture was improved by 10%. The method proposed in this paper will play an important reference role in the study of soil moisture retrieval using spaceborne GNSS-R data.

show abstract

Application of GNSS Interferometric Reflectometry for the Estimation of Lake Ice Thickness

Cited by 23 publications

References 21 publications

Sea Surface States Detection in Polar Regions Using Measurements of Ground-Based GNSS Interferometric Reflectometry

Sea Surface States Detection in Polar Regions Using Measurements of Ground-Based GNSS Interferometric Reflectometry

A study on the quality of GNSS signals for extracting the sea level height and tidal frequencies utilizing the GNSS-IR approach

The Correction Method of Water and Fresnel Reflection Coefficient for Soil Moisture Retrieved by CYGNSS

Contact Info

Product

Resources

About