The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments

The Arctic is greatly 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 by r...

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Published in:Science of Remote Sensing
Main Authors: Konstantin P. Klein, Hugues Lantuit, Birgit Heim, David Doxaran, Bennet Juhls, Ingmar Nitze, Daniela Walch, Amanda Poste, Janne E. Søreide
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2021
Subjects:
Q
Online Access:https://doi.org/10.1016/j.srs.2021.100036
https://doaj.org/article/ce6846d5272b450e9520a330102e2f80
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spelling ftdoajarticles:oai:doaj.org/article:ce6846d5272b450e9520a330102e2f80 2023-05-15T13:05:54+02:00 The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments Konstantin P. Klein Hugues Lantuit Birgit Heim David Doxaran Bennet Juhls Ingmar Nitze Daniela Walch Amanda Poste Janne E. Søreide 2021-12-01T00:00:00Z https://doi.org/10.1016/j.srs.2021.100036 https://doaj.org/article/ce6846d5272b450e9520a330102e2f80 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2666017221000237 https://doaj.org/toc/2666-0172 2666-0172 doi:10.1016/j.srs.2021.100036 https://doaj.org/article/ce6846d5272b450e9520a330102e2f80 Science of Remote Sensing, Vol 4, Iss , Pp 100036- (2021) Ocean color remote sensing Turbidity retrieval Nearshore zone Arctic Ocean Physical geography GB3-5030 Science Q article 2021 ftdoajarticles https://doi.org/10.1016/j.srs.2021.100036 2022-12-31T07:44:31Z The Arctic is greatly 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 by reducing light transmission through the water column and altering the biogeochemistry, but also the subsistence economy of local people, and changes in climate because of the transformation of organic matter into greenhouse gases. Yet, the quantification of suspended sediment in Arctic coastal and nearshore waters remains unsatisfactory due to the absence of dedicated algorithms to resolve the high loads occurring in the close vicinity of the shoreline. In this study we present the Arctic Nearshore Turbidity Algorithm (ANTA), the first reflectance-turbidity relationship specifically targeted towards Arctic nearshore waters that is tuned with in-situ measurements from the nearshore waters of Herschel Island Qikiqtaruk in the western Canadian Arctic. A semi-empirical model was calibrated for several relevant sensors in ocean color remote sensing, including MODIS, Sentinel 3 (OLCI), Landsat 8 (OLI), and Sentinel 2 (MSI), as well as the older Landsat sensors TM and ETM+. The ANTA performed better with Landsat 8 than with Sentinel 2 and Sentinel 3. The application of the ANTA to Sentinel 2 imagery that matches in-situ turbidity samples taken in Adventfjorden, Svalbard, shows transferability to nearshore areas beyond Herschel Island Qikiqtaruk. Article in Journal/Newspaper Adventfjorden Arctic Arctic Ocean Climate change Herschel Island permafrost Svalbard Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Svalbard Herschel Island ENVELOPE(-139.089,-139.089,69.583,69.583) Adventfjorden ENVELOPE(15.515,15.515,78.258,78.258) Science of Remote Sensing 4 100036
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Ocean color remote sensing
Turbidity retrieval
Nearshore zone
Arctic Ocean
Physical geography
GB3-5030
Science
Q
spellingShingle Ocean color remote sensing
Turbidity retrieval
Nearshore zone
Arctic Ocean
Physical geography
GB3-5030
Science
Q
Konstantin P. Klein
Hugues Lantuit
Birgit Heim
David Doxaran
Bennet Juhls
Ingmar Nitze
Daniela Walch
Amanda Poste
Janne E. Søreide
The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments
topic_facet Ocean color remote sensing
Turbidity retrieval
Nearshore zone
Arctic Ocean
Physical geography
GB3-5030
Science
Q
description The Arctic is greatly 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 by reducing light transmission through the water column and altering the biogeochemistry, but also the subsistence economy of local people, and changes in climate because of the transformation of organic matter into greenhouse gases. Yet, the quantification of suspended sediment in Arctic coastal and nearshore waters remains unsatisfactory due to the absence of dedicated algorithms to resolve the high loads occurring in the close vicinity of the shoreline. In this study we present the Arctic Nearshore Turbidity Algorithm (ANTA), the first reflectance-turbidity relationship specifically targeted towards Arctic nearshore waters that is tuned with in-situ measurements from the nearshore waters of Herschel Island Qikiqtaruk in the western Canadian Arctic. A semi-empirical model was calibrated for several relevant sensors in ocean color remote sensing, including MODIS, Sentinel 3 (OLCI), Landsat 8 (OLI), and Sentinel 2 (MSI), as well as the older Landsat sensors TM and ETM+. The ANTA performed better with Landsat 8 than with Sentinel 2 and Sentinel 3. The application of the ANTA to Sentinel 2 imagery that matches in-situ turbidity samples taken in Adventfjorden, Svalbard, shows transferability to nearshore areas beyond Herschel Island Qikiqtaruk.
format Article in Journal/Newspaper
author Konstantin P. Klein
Hugues Lantuit
Birgit Heim
David Doxaran
Bennet Juhls
Ingmar Nitze
Daniela Walch
Amanda Poste
Janne E. Søreide
author_facet Konstantin P. Klein
Hugues Lantuit
Birgit Heim
David Doxaran
Bennet Juhls
Ingmar Nitze
Daniela Walch
Amanda Poste
Janne E. Søreide
author_sort Konstantin P. Klein
title The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments
title_short The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments
title_full The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments
title_fullStr The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments
title_full_unstemmed The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments
title_sort arctic nearshore turbidity algorithm (anta) - a multi sensor turbidity algorithm for arctic nearshore environments
publisher Elsevier
publishDate 2021
url https://doi.org/10.1016/j.srs.2021.100036
https://doaj.org/article/ce6846d5272b450e9520a330102e2f80
long_lat ENVELOPE(-139.089,-139.089,69.583,69.583)
ENVELOPE(15.515,15.515,78.258,78.258)
geographic Arctic
Arctic Ocean
Svalbard
Herschel Island
Adventfjorden
geographic_facet Arctic
Arctic Ocean
Svalbard
Herschel Island
Adventfjorden
genre Adventfjorden
Arctic
Arctic Ocean
Climate change
Herschel Island
permafrost
Svalbard
genre_facet Adventfjorden
Arctic
Arctic Ocean
Climate change
Herschel Island
permafrost
Svalbard
op_source Science of Remote Sensing, Vol 4, Iss , Pp 100036- (2021)
op_relation http://www.sciencedirect.com/science/article/pii/S2666017221000237
https://doaj.org/toc/2666-0172
2666-0172
doi:10.1016/j.srs.2021.100036
https://doaj.org/article/ce6846d5272b450e9520a330102e2f80
op_doi https://doi.org/10.1016/j.srs.2021.100036
container_title Science of Remote Sensing
container_volume 4
container_start_page 100036
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