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...

Full description

Bibliographic Details
Published in:Science of Remote Sensing
Main Authors: Klein, Konstantin P., Lantuit, Hugues (Prof. Dr.), Heim, Birgit, Doxaran, David, Juhls, Bennet, Nitze, Ingmar (Dr.), Walch, Daniela, Poste, Amanda, Søreide, Janne E.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://publishup.uni-potsdam.de/frontdoor/index/index/docId/55370
https://doi.org/10.1016/j.srs.2021.100036
id ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:55370
record_format openpolar
spelling 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
institution 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