Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1931-2018
https://doi.org/10.5194/hess-22-1931-2018
Research article
 | 
20 Mar 2018
Research article |  | 20 Mar 2018

Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France

Sibo Zhang, Jean-Christophe Calvet, José Darrozes, Nicolas Roussel, Frédéric Frappart, and Gilles Bouhours

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Cited articles

Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., Gelati, E., Dorigo, W., Faroux, S., Meurey, C., Le Moigne, P., Decharme, B., Mahfouf, J.-F., and Calvet, J.-C.: Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area, Geosci. Model Dev., 10, 3889–3912, https://doi.org/10.5194/gmd-10-3889-2017, 2017. 
Bilich, A., Larson, K. M., and Axelrad, P.: Modeling GPS phase multipath with SNR: Case study from the Salar de Uyuni, Boliva, J. Geophys. Res., 113, 2156–2202, https://doi.org/10.1029/2007JB005194, 2008. 
Chew, C. C., Small, E. E., Larson, K. M., and Zavorotny, V. U.: Effects of near-surface soil moisture on GPS SNR data: development of a retrieval algorithm for soil moisture, IEEE T. Geosci. Remote S., 52, 537–543, https://doi.org/10.1109/TGRS.2013.2242332, 2014. 
Chew, C. C., Small, E. E., and Larson, K. M.: An algorithm for soil moisture estimation using GPS-interferometric reflectometry for bare and vegetated soil, GPS Solutions, 20, 525–537, https://doi.org/10.1007/s10291-015-0462-4, 2016. 
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Short summary
Surface soil moisture was retrieved from a grassland site in southwestern France using the GNSS-IR technique. In order to efficiently limit the impact of perturbing vegetation effects, the grass growth period and the senescence period are treated separately. While the vegetation biomass effect can be corrected for, the litter water interception influences the observations and cannot be easily accounted for.