Articles | Volume 26, issue 5
Hydrol. Earth Syst. Sci., 26, 1223–1241, 2022

Special issue: Microwave remote sensing for improved understanding of vegetation–water...

Hydrol. Earth Syst. Sci., 26, 1223–1241, 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 et al.


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-459', Andrew Feldman, 08 Oct 2021
    • AC1: 'Reply on RC1', Paul Vermunt, 10 Dec 2021
  • RC2: 'Comment on hess-2021-459', Anonymous Referee #2, 29 Oct 2021
    • AC2: 'Reply on RC2', Paul Vermunt, 10 Dec 2021
  • RC3: 'Comment on hess-2021-459', Anonymous Referee #3, 31 Oct 2021
    • AC3: 'Reply on RC3', Paul Vermunt, 10 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (17 Dec 2021) by Alexander Gruber
AR by Paul Vermunt on behalf of the Authors (19 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (03 Jan 2022) by Alexander Gruber
RR by Anonymous Referee #3 (07 Feb 2022)
ED: Publish as is (09 Feb 2022) by Alexander Gruber
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.