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.

Viewed

Total article views: 2,426 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,640 735 51 2,426 332 42 67
  • HTML: 1,640
  • PDF: 735
  • XML: 51
  • Total: 2,426
  • Supplement: 332
  • BibTeX: 42
  • EndNote: 67
Views and downloads (calculated since 22 Mar 2017)
Cumulative views and downloads (calculated since 22 Mar 2017)

Viewed (geographical distribution)

Total article views: 2,399 (including HTML, PDF, and XML) Thereof 2,374 with geography defined and 25 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Mar 2021
Download
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.