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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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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1766396833559478272 |