Articles | Volume 26, issue 5
https://doi.org/10.5194/hess-26-1223-2022
https://doi.org/10.5194/hess-26-1223-2022
Research article
 | 
04 Mar 2022
Research article |  | 04 Mar 2022

Extrapolating continuous vegetation water content to understand sub-daily backscatter variations

Paul C. Vermunt, Susan C. Steele-Dunne, Saeed Khabbazan, Jasmeet Judge, and Nick C. van de Giesen

Viewed

Total article views: 2,604 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,797 752 55 2,604 64 40 33
  • HTML: 1,797
  • PDF: 752
  • XML: 55
  • Total: 2,604
  • Supplement: 64
  • BibTeX: 40
  • EndNote: 33
Views and downloads (calculated since 17 Sep 2021)
Cumulative views and downloads (calculated since 17 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,604 (including HTML, PDF, and XML) Thereof 2,509 with geography defined and 95 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
This study investigates the use of hydrometeorological sensors to reconstruct variations in internal vegetation water content of corn and relates these variations to the sub-daily behaviour of polarimetric L-band backscatter. The results show significant sensitivity of backscatter to the daily cycles of vegetation water content and dew, particularly on dry days and for vertical and cross-polarizations, which demonstrates the potential for using radar for studies on vegetation water dynamics.