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: E. Sicaud, D. Fortier, J.-P. Dedieu, J. Franssen
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2024
Subjects:
Online Access:https://doi.org/10.5194/hess-28-65-2024
https://doaj.org/article/cd9c1ad754c64f568b6825006d6ee80d
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author E. Sicaud
D. Fortier
J.-P. Dedieu
J. Franssen
author_facet E. Sicaud
D. Fortier
J.-P. Dedieu
J. Franssen
author_sort E. Sicaud
collection Directory of Open Access Journals: DOAJ Articles
container_issue 1
container_start_page 65
container_title Hydrology and Earth System Sciences
container_volume 28
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 Article in Journal/Newspaper
genre Active layer thickness
permafrost
Subarctic
Nunavik
genre_facet Active layer thickness
permafrost
Subarctic
Nunavik
geographic Canada
Nunavik
geographic_facet Canada
Nunavik
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spelling ftdoajarticles:oai:doaj.org/article:cd9c1ad754c64f568b6825006d6ee80d 2025-01-16T18:35:46+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) E. Sicaud D. Fortier J.-P. Dedieu J. Franssen 2024-01-01T00:00:00Z https://doi.org/10.5194/hess-28-65-2024 https://doaj.org/article/cd9c1ad754c64f568b6825006d6ee80d EN eng Copernicus Publications https://hess.copernicus.org/articles/28/65/2024/hess-28-65-2024.pdf https://doaj.org/toc/1027-5606 https://doaj.org/toc/1607-7938 doi:10.5194/hess-28-65-2024 1027-5606 1607-7938 https://doaj.org/article/cd9c1ad754c64f568b6825006d6ee80d Hydrology and Earth System Sciences, Vol 28, Pp 65-86 (2024) Technology T Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 article 2024 ftdoajarticles https://doi.org/10.5194/hess-28-65-2024 2024-01-07T01:42:08Z 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 ... Article in Journal/Newspaper Active layer thickness permafrost Subarctic Nunavik Directory of Open Access Journals: DOAJ Articles Canada Nunavik Hydrology and Earth System Sciences 28 1 65 86
spellingShingle Technology
T
Environmental technology. Sanitary engineering
TD1-1066
Geography. Anthropology. Recreation
G
Environmental sciences
GE1-350
E. Sicaud
D. Fortier
J.-P. Dedieu
J. Franssen
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 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_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_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)
topic Technology
T
Environmental technology. Sanitary engineering
TD1-1066
Geography. Anthropology. Recreation
G
Environmental sciences
GE1-350
topic_facet Technology
T
Environmental technology. Sanitary engineering
TD1-1066
Geography. Anthropology. Recreation
G
Environmental sciences
GE1-350
url https://doi.org/10.5194/hess-28-65-2024
https://doaj.org/article/cd9c1ad754c64f568b6825006d6ee80d