Articles | Volume 28, issue 4
https://doi.org/10.5194/hess-28-1027-2024
https://doi.org/10.5194/hess-28-1027-2024
Research article
 | 
29 Feb 2024
Research article |  | 29 Feb 2024

High-resolution automated detection of headwater streambeds for large watersheds

Francis Lessard, Naïm Perreault, and Sylvain Jutras

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1521', Anonymous Referee #1, 28 Jul 2023
    • AC1: 'Reply on RC1', Francis Lessard, 02 Aug 2023
  • RC2: 'Comment on egusphere-2023-1521', Anonymous Referee #2, 06 Nov 2023
    • AC2: 'Reply on RC2', Francis Lessard, 20 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (27 Nov 2023) by Yongping Wei
AR by Francis Lessard on behalf of the Authors (19 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (03 Jan 2024) by Yongping Wei
ED: Referee Nomination & Report Request started (08 Jan 2024) by Yongping Wei
RR by Anonymous Referee #1 (10 Jan 2024)
RR by Anonymous Referee #2 (18 Jan 2024)
ED: Publish subject to technical corrections (22 Jan 2024) by Yongping Wei
AR by Francis Lessard on behalf of the Authors (23 Jan 2024)  Manuscript 
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Short summary
Headwaters streams, which are small streams at the top of a watershed, represent two-thirds of the total length of streams, yet their exact locations are still unknown. This article compares different techniques in order to remotely detect the position of these streams. Thus, a database of more than 464 km of headwaters was used to explain what drives their presence. A technique developed in this article makes it possible to detect headwater streams with more accuracy, despite the land uses.