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...

Full description

Bibliographic Details
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/11250/2984490
https://doi.org/10.1016/j.srs.2021.100036
id ftnorskinstvf:oai:niva.brage.unit.no:11250/2984490
record_format openpolar
spelling ftnorskinstvf:oai:niva.brage.unit.no:11250/2984490 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 application/pdf https://hdl.handle.net/11250/2984490 https://doi.org/10.1016/j.srs.2021.100036 eng eng Elsevier EC/H2020/773421 Norges forskningsråd: 268458 Science of Remote Sensing. 2021, 4, 100036. urn:issn:2666-0172 https://hdl.handle.net/11250/2984490 https://doi.org/10.1016/j.srs.2021.100036 cristin:1998989 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2021 The Authors CC-BY 11 4 Science of Remote Sensing 100036 Peer reviewed Journal article 2021 ftnorskinstvf https://doi.org/10.1016/j.srs.2021.100036 2023-02-21T08:45:56Z 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. publishedVersion Article in Journal/Newspaper Adventfjorden Arctic Climate change Herschel Island permafrost Svalbard Norwegian Institute for Water research: NIVA Open Access Archive (Brage) Arctic 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 Norwegian Institute for Water research: NIVA Open Access Archive (Brage)
op_collection_id ftnorskinstvf
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. publishedVersion
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/11250/2984490
https://doi.org/10.1016/j.srs.2021.100036
long_lat ENVELOPE(-139.089,-139.089,69.583,69.583)
ENVELOPE(15.515,15.515,78.258,78.258)
geographic Arctic
Svalbard
Herschel Island
Adventfjorden
geographic_facet Arctic
Svalbard
Herschel Island
Adventfjorden
genre Adventfjorden
Arctic
Climate change
Herschel Island
permafrost
Svalbard
genre_facet Adventfjorden
Arctic
Climate change
Herschel Island
permafrost
Svalbard
op_source 11
4
Science of Remote Sensing
100036
op_relation EC/H2020/773421
Norges forskningsråd: 268458
Science of Remote Sensing. 2021, 4, 100036.
urn:issn:2666-0172
https://hdl.handle.net/11250/2984490
https://doi.org/10.1016/j.srs.2021.100036
cristin:1998989
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
© 2021 The Authors
op_rightsnorm CC-BY
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_ 1766396696589238272