Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery

The Arctic is directly impacted by climate change. The increase in air temperature drives the thawing of permafrost and an increase in coastal erosion and river discharge. This leads to a greater input of sediment and organic matter into coastal waters, which substantially impacts the ecosystems, th...

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Published in:Remote Sensing
Main Authors: Konstantin P. Klein, Hugues Lantuit, Birgit Heim, Frank Fell, David Doxaran, Anna M. Irrgang
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://doi.org/10.3390/rs11232791
id ftzenodo:oai:zenodo.org:3820312
record_format openpolar
spelling ftzenodo:oai:zenodo.org:3820312 2024-09-15T18:02:19+00:00 Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery Konstantin P. Klein Hugues Lantuit Birgit Heim Frank Fell David Doxaran Anna M. Irrgang 2019-11-26 https://doi.org/10.3390/rs11232791 eng eng Zenodo https://zenodo.org/communities/nunataryuk https://zenodo.org/communities/eu https://doi.org/10.3390/rs11232791 oai:zenodo.org:3820312 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Ocean color remote sensing Landsat Herschel Island Qikiqtaruk Suspended particulate matter Coastal erosion info:eu-repo/semantics/article 2019 ftzenodo https://doi.org/10.3390/rs11232791 2024-07-25T15:01:07Z The Arctic is directly impacted by climate change. The increase in air temperature drives the thawing of permafrost and an increase in coastal erosion and river discharge. This leads to a greater input of sediment and organic matter into coastal waters, which substantially impacts the ecosystems, the subsistence economy of the local population, and the climate because of the transformation of organic matter into greenhouse gases. Yet, the patterns of sediment dispersal in the nearshore zone are not well known, because ships do not often reach shallow waters and satellite remote sensing is traditionally focused on less dynamic environments. The goal of this study is to use the extensive Landsat archive to investigate sediment dispersal patterns specifically on an exemplary Arctic nearshore environment, where field measurements are often scarce. Multiple Landsat scenes were combined to calculate means of sediment dispersal and sea surface temperature under changing seasonal wind conditions in the nearshore zone of Herschel Island Qikiqtaruk in the western Canadian Arctic since 1982. We use observations in the Landsat red and thermal wavebands, as well as a recently published water turbidity algorithm to relate archive wind data to turbidity and sea surface temperature. We map the spatial patterns of turbidity and water temperature at high spatial resolution in order to resolve transport pathways of water and sediment at the water surface. Our results show that these pathways are clearly related to the prevailing wind conditions, being ESE and NW. During easterly wind conditions, both turbidity and water temperature are significantly higher in the nearshore area. The extent of the Mackenzie River plume and coastal erosion are the main explanatory variables for sediment dispersal and sea surface temperature distributions in the study area. During northwesterly wind conditions, the influence of the Mackenzie River plume is negligible. Our results highlight the potential of high spatial resolution Landsat imagery to ... Article in Journal/Newspaper Climate change Herschel Island Mackenzie river permafrost Zenodo Remote Sensing 11 23 2791
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Ocean color remote sensing
Landsat
Herschel Island Qikiqtaruk
Suspended particulate matter
Coastal erosion
spellingShingle Ocean color remote sensing
Landsat
Herschel Island Qikiqtaruk
Suspended particulate matter
Coastal erosion
Konstantin P. Klein
Hugues Lantuit
Birgit Heim
Frank Fell
David Doxaran
Anna M. Irrgang
Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery
topic_facet Ocean color remote sensing
Landsat
Herschel Island Qikiqtaruk
Suspended particulate matter
Coastal erosion
description The Arctic is directly impacted by climate change. The increase in air temperature drives the thawing of permafrost and an increase in coastal erosion and river discharge. This leads to a greater input of sediment and organic matter into coastal waters, which substantially impacts the ecosystems, the subsistence economy of the local population, and the climate because of the transformation of organic matter into greenhouse gases. Yet, the patterns of sediment dispersal in the nearshore zone are not well known, because ships do not often reach shallow waters and satellite remote sensing is traditionally focused on less dynamic environments. The goal of this study is to use the extensive Landsat archive to investigate sediment dispersal patterns specifically on an exemplary Arctic nearshore environment, where field measurements are often scarce. Multiple Landsat scenes were combined to calculate means of sediment dispersal and sea surface temperature under changing seasonal wind conditions in the nearshore zone of Herschel Island Qikiqtaruk in the western Canadian Arctic since 1982. We use observations in the Landsat red and thermal wavebands, as well as a recently published water turbidity algorithm to relate archive wind data to turbidity and sea surface temperature. We map the spatial patterns of turbidity and water temperature at high spatial resolution in order to resolve transport pathways of water and sediment at the water surface. Our results show that these pathways are clearly related to the prevailing wind conditions, being ESE and NW. During easterly wind conditions, both turbidity and water temperature are significantly higher in the nearshore area. The extent of the Mackenzie River plume and coastal erosion are the main explanatory variables for sediment dispersal and sea surface temperature distributions in the study area. During northwesterly wind conditions, the influence of the Mackenzie River plume is negligible. Our results highlight the potential of high spatial resolution Landsat imagery to ...
format Article in Journal/Newspaper
author Konstantin P. Klein
Hugues Lantuit
Birgit Heim
Frank Fell
David Doxaran
Anna M. Irrgang
author_facet Konstantin P. Klein
Hugues Lantuit
Birgit Heim
Frank Fell
David Doxaran
Anna M. Irrgang
author_sort Konstantin P. Klein
title Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery
title_short Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery
title_full Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery
title_fullStr Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery
title_full_unstemmed Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery
title_sort long-term high-resolution sediment and sea surface temperature spatial patterns in arctic nearshore waters retrieved using 30-year landsat archive imagery
publisher Zenodo
publishDate 2019
url https://doi.org/10.3390/rs11232791
genre Climate change
Herschel Island
Mackenzie river
permafrost
genre_facet Climate change
Herschel Island
Mackenzie river
permafrost
op_relation https://zenodo.org/communities/nunataryuk
https://zenodo.org/communities/eu
https://doi.org/10.3390/rs11232791
oai:zenodo.org:3820312
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.3390/rs11232791
container_title Remote Sensing
container_volume 11
container_issue 23
container_start_page 2791
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