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

The Arctic is greatly impacted by climate change. increase in air temperature drives the thawing of permafrost and an coastal erosion river discharge. This leads to a greater input sediment organic matter into waters, which substantially impacts ecosystems reducing light transmission through water column altering biogeochemistry, but also subsistence economy local people, changes because transformation greenhouse gases. Yet, quantification suspended nearshore waters remains unsatisfactory due absence dedicated algorithms resolve high loads occurring close vicinity shoreline. In this study we present Nearshore Turbidity Algorithm (ANTA), first reflectance-turbidity relationship specifically targeted towards that tuned with in-situ measurements from Herschel Island Qikiqtaruk western Canadian Arctic. A semi-empirical model was calibrated for several relevant sensors ocean color remote sensing, including MODIS, Sentinel 3 (OLCI), Landsat 8 (OLI), 2 (MSI), as well older TM ETM+. ANTA performed better than 3. application imagery matches turbidity samples taken Adventfjorden, Svalbard, shows transferability areas beyond Qikiqtaruk.