Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4435-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning
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- Final revised paper (published on 16 Aug 2021)
- Preprint (discussion started on 12 Feb 2021)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on hess-2021-20', Kenneth Chapman, 19 Feb 2021
- AC1: 'Reply on RC1', Remy Vandaele, 08 Mar 2021
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RC2: 'Comment on hess-2021-20', Anonymous Referee #2, 01 Mar 2021
- AC2: 'Reply on RC2', Remy Vandaele, 23 Mar 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) (24 Apr 2021) by Jan Seibert
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
AR by Remy Vandaele on behalf of the Authors (24 May 2021) 
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (03 Jun 2021) by Jan Seibert
RR by Ze Wang (23 Jun 2021)
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
ED: Publish subject to minor revisions (review by editor) (27 Jun 2021) by Jan Seibert
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
AR by Remy Vandaele on behalf of the Authors (02 Jul 2021) 
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (10 Jul 2021) by Jan Seibert