Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2219-2017
https://doi.org/10.5194/hess-21-2219-2017
Research article
 | 
26 Apr 2017
Research article |  | 26 Apr 2017

Topography- and nightlight-based national flood risk assessment in Canada

Amin Elshorbagy, Raja Bharath, Anchit Lakhanpal, Serena Ceola, Alberto Montanari, and Karl-Erich Lindenschmidt

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) (27 Dec 2016) by Giuliano Di Baldassarre
AR by Amin Elshorbagy on behalf of the Authors (28 Jan 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Feb 2017) by Giuliano Di Baldassarre
RR by Anonymous Referee #1 (06 Mar 2017)
RR by Anonymous Referee #2 (15 Mar 2017)
ED: Publish subject to minor revisions (further review by Editor) (21 Mar 2017) by Giuliano Di Baldassarre
AR by Amin Elshorbagy on behalf of the Authors (22 Mar 2017)  Author's response   Manuscript 
ED: Publish as is (22 Mar 2017) by Giuliano Di Baldassarre
AR by Amin Elshorbagy on behalf of the Authors (30 Mar 2017)
Download
Short summary
Flood mapping is one of Canada's major national interests. This work presents a simple and effective method for large-scale flood hazard and risk mapping, applied in this study to Canada. Readily available data, such as remote sensing night-light data, topography, and stream network were used to create the maps.