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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Autores principales:	Konstantin P. Klein, Hugues Lantuit, Birgit Heim, David Doxaran, Bennet Juhls, Ingmar Nitze, Daniela Walch, Amanda Poste, Janne E. Søreide
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Ocean color remote sensing Turbidity retrieval Nearshore zone Arctic Ocean Physical geography GB3-5030 Science Q
Acceso en línea:	https://doaj.org/article/ce6846d5272b450e9520a330102e2f80
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id	oai:doaj.org-article:ce6846d5272b450e9520a330102e2f80
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spelling	oai:doaj.org-article:ce6846d5272b450e9520a330102e2f802021-11-20T05:13:38ZThe Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments2666-017210.1016/j.srs.2021.100036https://doaj.org/article/ce6846d5272b450e9520a330102e2f802021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666017221000237https://doaj.org/toc/2666-0172The 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.Konstantin P. KleinHugues LantuitBirgit HeimDavid DoxaranBennet JuhlsIngmar NitzeDaniela WalchAmanda PosteJanne E. SøreideElsevierarticleOcean color remote sensingTurbidity retrievalNearshore zoneArctic OceanPhysical geographyGB3-5030ScienceQENScience of Remote Sensing, Vol 4, Iss , Pp 100036- (2021)
institution	DOAJ
collection	DOAJ
language	EN
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
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
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://doaj.org/article/ce6846d5272b450e9520a330102e2f80
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The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments

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