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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Online Access: | https://hdl.handle.net/10037/24118 https://doi.org/10.1016/j.srs.2021.100036 |
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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 |
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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 |
_version_ |
1766396735564808192 |