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

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Cited articles

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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.