Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4767–4784, 2017
https://doi.org/10.5194/hess-21-4767-2017
Hydrol. Earth Syst. Sci., 21, 4767–4784, 2017
https://doi.org/10.5194/hess-21-4767-2017

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 articles

Albergel, C., Calvet, J. C., De Rosnay, P., Balsamo, G., Wagner, W., Hasenauer, S., Naeimi, V., Martin, E., Bazile, E., Bouyssel, F., and Mahfouf, J. F.: Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France, Hydrol. Earth Syst. Sci., 14, 2177–2191, https://doi.org/10.5194/hess-14-2177-2010, 2010.
Betbeder, J., Fieuzal, R., Philippets, Y., Ferro-Famil, L., and Baup, F.: Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops, J. Appl. Remote Sens., 10, 026020, https://doi.org/10.1117/1.JRS.10.026020, 2016.
Bilich, A. and Larson, K. M.: Mapping the GPS multipath environment using the signal-to-noise ratio (SNR), Radio Sci., 42, RS6003, https://doi.org/10.1029/2007RS003652, 2007.
Boniface, K., Braun, J. J., McCreight, J. L., and Nievinski, F. G.: Comparison of snow data assimilation system with GPS reflectometry snow depth in the western United States, Hydrol. Processe., 29, 2425–2437, https://doi.org/10.1002/hyp.10346, 2015.
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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.