Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4767-2017
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, Nicolas Roussel, Karen Boniface, Minh Cuong Ha, Frédéric Frappart, José Darrozes, Frédéric Baup, and Jean-Christophe Calvet

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (30 Jul 2017) by Alberto Guadagnini
AR by Jean-Christophe Calvet on behalf of the Authors (08 Aug 2017)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by Editor and Referees) (12 Aug 2017) by Alberto Guadagnini
ED: Referee Nomination & Report Request started (14 Aug 2017) by Alberto Guadagnini
RR by Anonymous Referee #2 (24 Aug 2017)
ED: Publish subject to technical corrections (26 Aug 2017) by Alberto Guadagnini
AR by Jean-Christophe Calvet on behalf of the Authors (28 Aug 2017)  Author's response   Manuscript 
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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.