Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-5029-2021
https://doi.org/10.5194/hess-25-5029-2021
Research article
 | 
17 Sep 2021
Research article |  | 17 Sep 2021

Information-based uncertainty decomposition in dual-channel microwave remote sensing of soil moisture

Bonan Li and Stephen P. Good

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (03 Feb 2021) by Roger Moussa
AR by LI BONAN on behalf of the Authors (23 Feb 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Mar 2021) by Roger Moussa
RR by Anonymous Referee #1 (14 Apr 2021)
RR by Anonymous Referee #2 (23 Apr 2021)
ED: Reconsider after major revisions (further review by editor and referees) (29 Apr 2021) by Roger Moussa
AR by LI BONAN on behalf of the Authors (09 Jun 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Jun 2021) by Roger Moussa
RR by Anonymous Referee #2 (19 Jul 2021)
ED: Publish subject to minor revisions (review by editor) (10 Aug 2021) by Roger Moussa
AR by LI BONAN on behalf of the Authors (11 Aug 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Aug 2021) by Roger Moussa
AR by LI BONAN on behalf of the Authors (17 Aug 2021)  Manuscript 
Download
Short summary
We found that satellite retrieved soil moisture has large uncertainty, with uncertainty caused by the algorithm being closely related to the satellite soil moisture quality. The information provided by the two main inputs is mainly redundant. Such redundant components and synergy components provided by two main inputs to the satellite soil moisture are related to how the satellite algorithm performs. The satellite remote sensing algorithms may be improved by performing such analysis.