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)

For remote and vast northern watersheds, hydrological data are often sparse and incomplete. Landscape hydrology provides useful approaches for the indirect assessment of the hydrological characteristics of watersheds through analysis of landscape properties. In this study, we used unsupervised geogr...

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Published in:Hydrology and Earth System Sciences
Main Authors: Sicaud, Eliot, Fortier, Daniel, Dedieu, Jean-Pierre, Franssen, Jan
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/hess-28-65-2024
https://hess.copernicus.org/articles/28/65/2024/
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spelling ftcopernicus:oai:publications.copernicus.org:hess110839 2024-09-15T17:34:56+00:00 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) Sicaud, Eliot Fortier, Daniel Dedieu, Jean-Pierre Franssen, Jan 2024-01-03 application/pdf https://doi.org/10.5194/hess-28-65-2024 https://hess.copernicus.org/articles/28/65/2024/ eng eng doi:10.5194/hess-28-65-2024 https://hess.copernicus.org/articles/28/65/2024/ eISSN: 1607-7938 Text 2024 ftcopernicus https://doi.org/10.5194/hess-28-65-2024 2024-08-28T05:24:15Z For remote and vast northern watersheds, hydrological data are often sparse and incomplete. Landscape hydrology provides useful approaches for the indirect assessment of the hydrological characteristics of watersheds through analysis of landscape properties. In this study, we used unsupervised geographic object-based image analysis (GeOBIA) paired with the fuzzy c -means (FCM) clustering algorithm to produce seven high-resolution territorial classifications of key remotely sensed hydro-geomorphic metrics for the 1985–2019 time period, each with a frequency of 5 years. Our study site is the George River watershed (GRW), a 42 000 km 2 watershed located in Nunavik, northern Quebec (Canada). The subwatersheds within the GRW, used as the objects of the GeOBIA, were classified as a function of their hydrological similarities. Classification results for the period 2015–2019 showed that the GRW is composed of two main types of subwatersheds distributed along a latitudinal gradient, which indicates broad-scale differences in hydrological regimes and water balances across the GRW. Six classifications were computed for the period 1985–2014 to investigate past changes in hydrological regime. The time series of seven classifications showed a homogenization of subwatershed types associated with increases in vegetation productivity and in water contents in soil and vegetation, mostly concentrated in the northern half of the GRW, which were the major changes occurring in the land cover metrics of the GRW. An increase in vegetation productivity likely contributed to an augmentation in evaporation and may be a primary driver of fundamental shifts in the GRW water balance, potentially explaining a measured decline of about 1 % ( ∼ 0.16 km 3 yr −1 ) in the George River’s discharge since the mid-1970s. Permafrost degradation over the study period also likely affected the hydrological regime and water balance of the GRW. However, the shifts in permafrost extent and active layer thickness remain difficult to detect using ... Text Active layer thickness permafrost Subarctic Nunavik Copernicus Publications: E-Journals Hydrology and Earth System Sciences 28 1 65 86
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collection Copernicus Publications: E-Journals
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language English
description For remote and vast northern watersheds, hydrological data are often sparse and incomplete. Landscape hydrology provides useful approaches for the indirect assessment of the hydrological characteristics of watersheds through analysis of landscape properties. In this study, we used unsupervised geographic object-based image analysis (GeOBIA) paired with the fuzzy c -means (FCM) clustering algorithm to produce seven high-resolution territorial classifications of key remotely sensed hydro-geomorphic metrics for the 1985–2019 time period, each with a frequency of 5 years. Our study site is the George River watershed (GRW), a 42 000 km 2 watershed located in Nunavik, northern Quebec (Canada). The subwatersheds within the GRW, used as the objects of the GeOBIA, were classified as a function of their hydrological similarities. Classification results for the period 2015–2019 showed that the GRW is composed of two main types of subwatersheds distributed along a latitudinal gradient, which indicates broad-scale differences in hydrological regimes and water balances across the GRW. Six classifications were computed for the period 1985–2014 to investigate past changes in hydrological regime. The time series of seven classifications showed a homogenization of subwatershed types associated with increases in vegetation productivity and in water contents in soil and vegetation, mostly concentrated in the northern half of the GRW, which were the major changes occurring in the land cover metrics of the GRW. An increase in vegetation productivity likely contributed to an augmentation in evaporation and may be a primary driver of fundamental shifts in the GRW water balance, potentially explaining a measured decline of about 1 % ( ∼ 0.16 km 3 yr −1 ) in the George River’s discharge since the mid-1970s. Permafrost degradation over the study period also likely affected the hydrological regime and water balance of the GRW. However, the shifts in permafrost extent and active layer thickness remain difficult to detect using ...
format Text
author Sicaud, Eliot
Fortier, Daniel
Dedieu, Jean-Pierre
Franssen, Jan
spellingShingle Sicaud, Eliot
Fortier, Daniel
Dedieu, Jean-Pierre
Franssen, Jan
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)
author_facet Sicaud, Eliot
Fortier, Daniel
Dedieu, Jean-Pierre
Franssen, Jan
author_sort Sicaud, Eliot
title 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)
title_short 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)
title_full 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)
title_fullStr 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)
title_full_unstemmed 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)
title_sort 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)
publishDate 2024
url https://doi.org/10.5194/hess-28-65-2024
https://hess.copernicus.org/articles/28/65/2024/
genre Active layer thickness
permafrost
Subarctic
Nunavik
genre_facet Active layer thickness
permafrost
Subarctic
Nunavik
op_source eISSN: 1607-7938
op_relation doi:10.5194/hess-28-65-2024
https://hess.copernicus.org/articles/28/65/2024/
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container_title Hydrology and Earth System Sciences
container_volume 28
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