Articles | Volume 26, issue 16
https://doi.org/10.5194/hess-26-4345-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Deep learning methods for flood mapping: a review of existing applications and future research directions
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- Final revised paper (published on 25 Aug 2022)
- Preprint (discussion started on 02 Mar 2022)
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-2022-83', Anonymous Referee #1, 05 Apr 2022
- AC1: 'Reply on RC1', Roberto Bentivoglio, 22 Apr 2022
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RC2: 'Comment on hess-2022-83', Anonymous Referee #2, 07 Apr 2022
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AC2: 'Reply on RC2', Roberto Bentivoglio, 22 Apr 2022
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RC3: 'Reply on AC2', Anonymous Referee #2, 22 Apr 2022
- AC3: 'Reply on RC3', Roberto Bentivoglio, 12 Jul 2022
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RC3: 'Reply on AC2', Anonymous Referee #2, 22 Apr 2022
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AC2: 'Reply on RC2', Roberto Bentivoglio, 22 Apr 2022
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RC4: 'Comment on hess-2022-83', Anonymous Referee #2, 22 Apr 2022
- AC4: 'Reply on RC4', Roberto Bentivoglio, 12 Jul 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (further review by editor) (24 Jul 2022) by Matjaz Mikos
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
AR by Roberto Bentivoglio on behalf of the Authors (24 Jul 2022)
Author's response
Author's tracked changes
Manuscript
ED: Publish subject to technical corrections (26 Jul 2022) by Matjaz Mikos
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
AR by Roberto Bentivoglio on behalf of the Authors (26 Jul 2022)
Manuscript