Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4767–4784, 2017
https://doi.org/10.5194/hess-21-4767-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 4767–4784, 2017
https://doi.org/10.5194/hess-21-4767-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
26 Sep 2017
Research article
| 26 Sep 2017
Use of reflected GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop
Sibo Zhang et al.
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Cited
18 citations as recorded by crossref.
- Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France S. Zhang et al. 10.5194/hess-22-1931-2018
- Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review F. Frappart et al. 10.3390/rs12182915
- Evaluation of GNSS-IR for Retrieving Soil Moisture and Vegetation Growth Characteristics in Wheat Farmland S. Zhang et al. 10.1061/(ASCE)SU.1943-5428.0000355
- THE INFLUENCE OF THE TERRAIN ON HEIGHT MEASUREMENT USING THE GNSS INTERFERENCE SIGNAL N. Zhang et al. 10.2528/PIERM18101402
- Estimation of Wheat Height With SNR Observations Collected by Low-Cost Navigational GNSS Chip and RHCP Antenna Y. Li et al. 10.1109/LGRS.2021.3123806
- Multi-constellation GNSS interferometric reflectometry with mass-market sensors as a solution for soil moisture monitoring A. Martín et al. 10.5194/hess-24-3573-2020
- Using multimodal remote sensing data to estimate regional-scale soil moisture content: A case study of Beijing, China M. Cheng et al. 10.1016/j.agwat.2021.107298
- Python software to transform GPS SNR wave phases to volumetric water content A. Martín et al. 10.1007/s10291-021-01190-3
- SNR-Based Water Height Retrieval in Rivers: Application to High Amplitude Asymmetric Tides in the Garonne River P. Zeiger et al. 10.3390/rs13091856
- GIRAS: an open-source MATLAB-based software for GNSS-IR analysis C. Altuntas & N. Tunalioglu 10.1007/s10291-021-01201-3
- Estimation and Validation Study of Soil Moisture Using GPS-IR Technique Over a Tropical Region: Variability of SM With Rainfall and Energy Fluxes G. Madhavi et al. 10.1109/JSTARS.2021.3127469
- Ground, Proximal, and Satellite Remote Sensing of Soil Moisture E. Babaeian et al. 10.1029/2018RG000618
- Development of Soil Moisture Inversion Model for Bare Soil Using Navigation With Indian Constellation (NavIC) S. Shekhar et al. 10.1109/LGRS.2021.3090568
- Python software tools for GNSS interferometric reflectometry (GNSS-IR) A. Martín et al. 10.1007/s10291-020-01010-0
- Retrieving the SNR metrics with different antenna configurations for GNSS-IR C. ALTUNTAŞ & N. TUNALIOĞLU 10.31127/tuje.870620
- Soil moisture estimation based on triple-frequency multipath error X. Zhang et al. 10.1080/01431161.2021.1933246
- Time-Series Retrieval of Soil Moisture Using CYGNSS M. Al-Khaldi et al. 10.1109/TGRS.2018.2890646
- Determination of Significant Wave Heights Using Damping Coefficients of Attenuated GNSS SNR Data from Static and Kinematic Observations O. Roggenbuck et al. 10.3390/rs11040409
16 citations as recorded by crossref.
- Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France S. Zhang et al. 10.5194/hess-22-1931-2018
- Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review F. Frappart et al. 10.3390/rs12182915
- Evaluation of GNSS-IR for Retrieving Soil Moisture and Vegetation Growth Characteristics in Wheat Farmland S. Zhang et al. 10.1061/(ASCE)SU.1943-5428.0000355
- THE INFLUENCE OF THE TERRAIN ON HEIGHT MEASUREMENT USING THE GNSS INTERFERENCE SIGNAL N. Zhang et al. 10.2528/PIERM18101402
- Estimation of Wheat Height With SNR Observations Collected by Low-Cost Navigational GNSS Chip and RHCP Antenna Y. Li et al. 10.1109/LGRS.2021.3123806
- Multi-constellation GNSS interferometric reflectometry with mass-market sensors as a solution for soil moisture monitoring A. Martín et al. 10.5194/hess-24-3573-2020
- Using multimodal remote sensing data to estimate regional-scale soil moisture content: A case study of Beijing, China M. Cheng et al. 10.1016/j.agwat.2021.107298
- Python software to transform GPS SNR wave phases to volumetric water content A. Martín et al. 10.1007/s10291-021-01190-3
- SNR-Based Water Height Retrieval in Rivers: Application to High Amplitude Asymmetric Tides in the Garonne River P. Zeiger et al. 10.3390/rs13091856
- GIRAS: an open-source MATLAB-based software for GNSS-IR analysis C. Altuntas & N. Tunalioglu 10.1007/s10291-021-01201-3
- Estimation and Validation Study of Soil Moisture Using GPS-IR Technique Over a Tropical Region: Variability of SM With Rainfall and Energy Fluxes G. Madhavi et al. 10.1109/JSTARS.2021.3127469
- Ground, Proximal, and Satellite Remote Sensing of Soil Moisture E. Babaeian et al. 10.1029/2018RG000618
- Development of Soil Moisture Inversion Model for Bare Soil Using Navigation With Indian Constellation (NavIC) S. Shekhar et al. 10.1109/LGRS.2021.3090568
- Python software tools for GNSS interferometric reflectometry (GNSS-IR) A. Martín et al. 10.1007/s10291-020-01010-0
- Retrieving the SNR metrics with different antenna configurations for GNSS-IR C. ALTUNTAŞ & N. TUNALIOĞLU 10.31127/tuje.870620
- Soil moisture estimation based on triple-frequency multipath error X. Zhang et al. 10.1080/01431161.2021.1933246
2 citations as recorded by crossref.
Latest update: 27 Jan 2023
Short summary
GNSS SNR data were obtained from an intensively cultivated wheat field in southwestern France. The data were used to retrieve soil moisture and vegetation characteristics during the growing period of wheat. Vegetation growth broke up the constant height assumption used in soil moisture retrieval algorithms. Soil moisture could not be retrieved after wheat tillering. A new algorithm based on a wavelet analysis was implemented and used to retrieve vegetation height.
GNSS SNR data were obtained from an intensively cultivated wheat field in southwestern France....
