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

Viewed

Total article views: 1,067 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
767 245 55 1,067 42 47 36
  • HTML: 767
  • PDF: 245
  • XML: 55
  • Total: 1,067
  • Supplement: 42
  • BibTeX: 47
  • EndNote: 36
Views and downloads (calculated since 13 Jul 2023)
Cumulative views and downloads (calculated since 13 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,067 (including HTML, PDF, and XML) Thereof 1,051 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
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.