The Arctic Nearshore Turbidity Algorithm (ANTA)
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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ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:55370 2024-04-28T07:53:22+00:00 The Arctic Nearshore Turbidity Algorithm (ANTA) Klein, Konstantin P. Lantuit, Hugues (Prof. Dr.) Heim, Birgit Doxaran, David Juhls, Bennet Nitze, Ingmar (Dr.) Walch, Daniela Poste, Amanda Søreide, Janne E. 2021-11-18 https://publishup.uni-potsdam.de/frontdoor/index/index/docId/55370 https://doi.org/10.1016/j.srs.2021.100036 eng eng https://publishup.uni-potsdam.de/frontdoor/index/index/docId/55370 https://doi.org/10.1016/j.srs.2021.100036 https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/closedAccess ddc:550 Institut für Geowissenschaften article doc-type:article 2021 ftubpotsdam https://doi.org/10.1016/j.srs.2021.100036 2024-04-09T23:38:30Z 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 Climate change Herschel Island permafrost Svalbard University of Potsdam: publish.UP Science of Remote Sensing 4 100036 |
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Open Polar |
collection |
University of Potsdam: publish.UP |
op_collection_id |
ftubpotsdam |
language |
English |
topic |
ddc:550 Institut für Geowissenschaften |
spellingShingle |
ddc:550 Institut für Geowissenschaften Klein, Konstantin P. Lantuit, Hugues (Prof. Dr.) Heim, Birgit Doxaran, David Juhls, Bennet Nitze, Ingmar (Dr.) Walch, Daniela Poste, Amanda Søreide, Janne E. The Arctic Nearshore Turbidity Algorithm (ANTA) |
topic_facet |
ddc:550 Institut für Geowissenschaften |
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 (Prof. Dr.) Heim, Birgit Doxaran, David Juhls, Bennet Nitze, Ingmar (Dr.) Walch, Daniela Poste, Amanda Søreide, Janne E. |
author_facet |
Klein, Konstantin P. Lantuit, Hugues (Prof. Dr.) Heim, Birgit Doxaran, David Juhls, Bennet Nitze, Ingmar (Dr.) Walch, Daniela Poste, Amanda Søreide, Janne E. |
author_sort |
Klein, Konstantin P. |
title |
The Arctic Nearshore Turbidity Algorithm (ANTA) |
title_short |
The Arctic Nearshore Turbidity Algorithm (ANTA) |
title_full |
The Arctic Nearshore Turbidity Algorithm (ANTA) |
title_fullStr |
The Arctic Nearshore Turbidity Algorithm (ANTA) |
title_full_unstemmed |
The Arctic Nearshore Turbidity Algorithm (ANTA) |
title_sort |
arctic nearshore turbidity algorithm (anta) |
publishDate |
2021 |
url |
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/55370 https://doi.org/10.1016/j.srs.2021.100036 |
genre |
Adventfjorden Arctic Climate change Herschel Island permafrost Svalbard |
genre_facet |
Adventfjorden Arctic Climate change Herschel Island permafrost Svalbard |
op_relation |
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/55370 https://doi.org/10.1016/j.srs.2021.100036 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/closedAccess |
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_ |
1797591303262830592 |