Articles | Volume 28, issue 1
https://doi.org/10.5194/hess-28-65-2024
https://doi.org/10.5194/hess-28-65-2024
Research article
 | 
03 Jan 2024
Research article |  | 03 Jan 2024

Pairing remote sensing and clustering in landscape hydrology for large-scale change identification: an application to the subarctic watershed of the George River (Nunavik, Canada)

Eliot Sicaud, Daniel Fortier, Jean-Pierre Dedieu, and Jan Franssen

Viewed

Total article views: 1,168 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
920 207 41 1,168 19 26
  • HTML: 920
  • PDF: 207
  • XML: 41
  • Total: 1,168
  • BibTeX: 19
  • EndNote: 26
Views and downloads (calculated since 03 Jul 2023)
Cumulative views and downloads (calculated since 03 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,168 (including HTML, PDF, and XML) Thereof 1,091 with geography defined and 77 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
For vast northern watersheds, hydrological data are often sparse and incomplete. Our study used remote sensing and clustering to produce classifications of the George River watershed (GRW). Results show two types of subwatersheds with different hydrological behaviors. The GRW experienced a homogenization of subwatershed types likely due to an increase in vegetation productivity, which could explain the measured decline of 1 % (~0.16 km3 y−1) in the George River’s discharge since the mid-1970s.