4.0 Article

The Arctic Nearshore Turbidity Algorithm (ANTA)-A multi sensor turbidity algorithm for Arctic nearshore environments

Journal

SCIENCE OF REMOTE SENSING
Volume 4, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.srs.2021.100036

Keywords

Ocean color remote sensing; Turbidity retrieval; Nearshore zone; Arctic Ocean

Funding

  1. European Union [773421]
  2. University of Potsdam (PoGS Potsdam Graduate School)
  3. German Academic Exchange Service (DAAD)
  4. HGF AI-CORE
  5. ESA CCI + Permafrost
  6. NSF [2052107, 1927872]
  7. European Space Agency (ESA) as part of the Climate Change Initiative (CCI) fellowship (ESA ESRIN)
  8. Research Council of Norway (TerrACE' project) [268458]
  9. Fram Center for High North Research Fjord and Coast flagship (FreshFate' project) [132019]
  10. [4000l3376l/2l/I-NB]

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The Arctic is significantly impacted by climate change, leading to thawing permafrost, coastal erosion, and increased river discharge. The input of sediment and organic matter into coastal waters affects ecosystems, local economies, and climate. The study introduced the ANTA algorithm for quantifying suspended sediment in Arctic nearshore waters, showing promising results for improving understanding of turbidity in the region.
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.

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