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: Klein, Konstantin P, Lantuit, Hugues, Heim, Birgit, Doxaran, David, Juhls, Bennet, Nitze, Ingmar, Walch, Daniela, Poste, Amanda, Søreide, Janne
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2021
Subjects:
Online Access:https://hdl.handle.net/10037/24118
https://doi.org/10.1016/j.srs.2021.100036
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/24118 2023-05-15T13:05:54+02:00 The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments Klein, Konstantin P Lantuit, Hugues Heim, Birgit Doxaran, David Juhls, Bennet Nitze, Ingmar Walch, Daniela Poste, Amanda Søreide, Janne 2021-11-15 https://hdl.handle.net/10037/24118 https://doi.org/10.1016/j.srs.2021.100036 eng eng Elsevier Science of Remote Sensing info:eu-repo/grantAgreement/EC/H2020-EU/773421/Germany/Permafrost thaw and the changing arctic coast: science for socio-economic adaptation/Nunataryuk/ Klein, Lantuit, Heim, Doxaran, Juhls, Nitze, Walch, Poste, Søreide. The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments. Science of Remote Sensing. 2021;4 FRIDAID 1998989 doi:10.1016/j.srs.2021.100036 2666-0172 https://hdl.handle.net/10037/24118 openAccess Copyright 2021 The Author(s) Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2021 ftunivtroemsoe https://doi.org/10.1016/j.srs.2021.100036 2022-02-23T23:58:01Z 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 Climate change Herschel Island permafrost Svalbard University of Tromsø: Munin Open Research Archive Adventfjorden ENVELOPE(15.515,15.515,78.258,78.258) Arctic Herschel Island ENVELOPE(-139.089,-139.089,69.583,69.583) Svalbard Science of Remote Sensing 4 100036
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
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 Klein, Konstantin P
Lantuit, Hugues
Heim, Birgit
Doxaran, David
Juhls, Bennet
Nitze, Ingmar
Walch, Daniela
Poste, Amanda
Søreide, Janne
spellingShingle Klein, Konstantin P
Lantuit, Hugues
Heim, Birgit
Doxaran, David
Juhls, Bennet
Nitze, Ingmar
Walch, Daniela
Poste, Amanda
Søreide, Janne
The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments
author_facet Klein, Konstantin P
Lantuit, Hugues
Heim, Birgit
Doxaran, David
Juhls, Bennet
Nitze, Ingmar
Walch, Daniela
Poste, Amanda
Søreide, Janne
author_sort Klein, Konstantin P
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://hdl.handle.net/10037/24118
https://doi.org/10.1016/j.srs.2021.100036
long_lat ENVELOPE(15.515,15.515,78.258,78.258)
ENVELOPE(-139.089,-139.089,69.583,69.583)
geographic Adventfjorden
Arctic
Herschel Island
Svalbard
geographic_facet Adventfjorden
Arctic
Herschel Island
Svalbard
genre Adventfjorden
Arctic
Arctic
Climate change
Herschel Island
permafrost
Svalbard
genre_facet Adventfjorden
Arctic
Arctic
Climate change
Herschel Island
permafrost
Svalbard
op_relation Science of Remote Sensing
info:eu-repo/grantAgreement/EC/H2020-EU/773421/Germany/Permafrost thaw and the changing arctic coast: science for socio-economic adaptation/Nunataryuk/
Klein, Lantuit, Heim, Doxaran, Juhls, Nitze, Walch, Poste, Søreide. The Arctic Nearshore Turbidity Algorithm (ANTA) - A multi sensor turbidity algorithm for Arctic nearshore environments. Science of Remote Sensing. 2021;4
FRIDAID 1998989
doi:10.1016/j.srs.2021.100036
2666-0172
https://hdl.handle.net/10037/24118
op_rights openAccess
Copyright 2021 The Author(s)
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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