Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3573-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3573-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Jul 2020
Research article |
| 15 Jul 2020
| 15 Jul 2020
Multi-constellation GNSS interferometric reflectometry with mass-market sensors as a solution for soil moisture monitoring
Angel Martín
CORRESPONDING AUTHOR
Department of Cartographic Engineering, Geodesy and Photogrammetry,
Universitat Politècnica de Valencia, Valencia, 46022, Spain
Sara Ibáñez
Centro Valenciano de Estudios sobre el Riego, Universitat
Politècnica de Valencia, Valencia, 46022, Spain
Carlos Baixauli
Centro de Experiencias Cajamar, Paiporta, Valencia, 46200, Spain
Sara Blanc
Institute of Information and Communication Technologies, Universitat Politècnica de Valencia, Valencia, 46022, Spain
Ana Belén Anquela
Department of Cartographic Engineering, Geodesy and Photogrammetry,
Universitat Politècnica de Valencia, Valencia, 46022, Spain
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Cited
16 citations as recorded by crossref.
- Editing arcs to improve the capacity of GNSS-IR for soil moisture retrieval in undulating terrains Q. Ran et al. 10.1007/s10291-021-01206-y
- Enhancing Snow Depth Estimations Through Iterative Satellite Elevation Range Selection in GNSS-IR to Account for Terrain Variation C. Altuntas & N. Tunalioglu 10.1109/TGRS.2023.3312925
- Feasibility of retrieving effective reflector height using GNSS-IR from a single-frequency android smartphone SNR data C. Altuntas & N. Tunalioglu 10.1016/j.dsp.2021.103011
- Configuration Stability Analysis for Geocentric Space Gravitational-Wave Observatories X. Zhou et al. 10.3390/aerospace9090519
- GNSS-IR multisatellite combination for soil moisture retrieval based on wavelet analysis considering detection and repair of abnormal phases Y. Liang et al. 10.1016/j.measurement.2022.111881
- Feasible domain analysis of heliocentric gravitational-wave detection configuration using semi-analytical uncertainty propagation D. Qiao et al. 10.1016/j.asr.2023.08.011
- Python software tools for GNSS interferometric reflectometry (GNSS-IR) A. Martín et al. 10.1007/s10291-020-01010-0
- A Forward Model and Inversion Algorithm for Near-Surface Soil Moisture Estimation With GNSS Refraction Pattern Technique Y. Li et al. 10.1109/TGRS.2024.3381441
- Estimation of relative permittivity for measuring soil texture-dependent water content by GNSS-IR D. Kobayashi et al. 10.1007/s10291-024-01747-y
- A GNSS-IR soil moisture retrieval method via multi-layer perceptron with consideration of precipitation and environmental factors H. Xian et al. 10.1007/s10291-024-01668-w
- Triple Collocation Analysis and In Situ Validation of the CYGNSS Soil Moisture Product X. Deng et al. 10.1109/JSTARS.2023.3235111
- Performance assessment of GNSS-IR altimetry using signal-to-noise ratio data from a Huawei P30 smartphone Z. Liu et al. 10.1007/s10291-022-01223-5
- Python software to transform GPS SNR wave phases to volumetric water content A. Martín et al. 10.1007/s10291-021-01190-3
- An improved snow depth retrieval method with adaptive noise reduction for GPS/GLONASS/Galileo/BDS multi-frequency signals S. Liu et al. 10.1088/1361-6501/ac62c9
- GNSS-IR soil moisture estimation using deep learning with Bayesian optimization for hyperparameter tuning P. Daneghian & A. Rastbood 10.1515/jogs-2022-0172
- Analytical configuration uncertainty propagation of geocentric interferometric detection constellation D. Qiao et al. 10.1007/s42064-022-0157-x
16 citations as recorded by crossref.
- Editing arcs to improve the capacity of GNSS-IR for soil moisture retrieval in undulating terrains Q. Ran et al. 10.1007/s10291-021-01206-y
- Enhancing Snow Depth Estimations Through Iterative Satellite Elevation Range Selection in GNSS-IR to Account for Terrain Variation C. Altuntas & N. Tunalioglu 10.1109/TGRS.2023.3312925
- Feasibility of retrieving effective reflector height using GNSS-IR from a single-frequency android smartphone SNR data C. Altuntas & N. Tunalioglu 10.1016/j.dsp.2021.103011
- Configuration Stability Analysis for Geocentric Space Gravitational-Wave Observatories X. Zhou et al. 10.3390/aerospace9090519
- GNSS-IR multisatellite combination for soil moisture retrieval based on wavelet analysis considering detection and repair of abnormal phases Y. Liang et al. 10.1016/j.measurement.2022.111881
- Feasible domain analysis of heliocentric gravitational-wave detection configuration using semi-analytical uncertainty propagation D. Qiao et al. 10.1016/j.asr.2023.08.011
- Python software tools for GNSS interferometric reflectometry (GNSS-IR) A. Martín et al. 10.1007/s10291-020-01010-0
- A Forward Model and Inversion Algorithm for Near-Surface Soil Moisture Estimation With GNSS Refraction Pattern Technique Y. Li et al. 10.1109/TGRS.2024.3381441
- Estimation of relative permittivity for measuring soil texture-dependent water content by GNSS-IR D. Kobayashi et al. 10.1007/s10291-024-01747-y
- A GNSS-IR soil moisture retrieval method via multi-layer perceptron with consideration of precipitation and environmental factors H. Xian et al. 10.1007/s10291-024-01668-w
- Triple Collocation Analysis and In Situ Validation of the CYGNSS Soil Moisture Product X. Deng et al. 10.1109/JSTARS.2023.3235111
- Performance assessment of GNSS-IR altimetry using signal-to-noise ratio data from a Huawei P30 smartphone Z. Liu et al. 10.1007/s10291-022-01223-5
- Python software to transform GPS SNR wave phases to volumetric water content A. Martín et al. 10.1007/s10291-021-01190-3
- An improved snow depth retrieval method with adaptive noise reduction for GPS/GLONASS/Galileo/BDS multi-frequency signals S. Liu et al. 10.1088/1361-6501/ac62c9
- GNSS-IR soil moisture estimation using deep learning with Bayesian optimization for hyperparameter tuning P. Daneghian & A. Rastbood 10.1515/jogs-2022-0172
- Analytical configuration uncertainty propagation of geocentric interferometric detection constellation D. Qiao et al. 10.1007/s42064-022-0157-x
Latest update: 19 Nov 2024
Short summary
In the case study presented in this paper, the GNSS-IR technique was used to monitor soil moisture during 66 d, from 3 December 2018 to 6 February 2019, in the installations of the Cajamar Centre of Experiences, Paiporta, Valencia, Spain. Two main objectives were pursued. The first was the extension of the technique to a multi-constellation solution using GPS, GLONASS, and GALILEO satellites, and the second was to test whether mass-market sensors could be used for this technique.
In the case study presented in this paper, the GNSS-IR technique was used to monitor soil...
