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Co-chairs: Jørgen Berge (UiT, The Arctic University of Norway)

Christian Katlein (Alfred Wegener Institute for Polar and Marine Research)

Marcel Babin (Université Laval)

Asgeir Sørensen (Centre for Autonomous Marine Operations and Systems, NTNU)

 

Over the last decade there has been a greater proliferation of autonomous sampling for the biotic and chemical components of the marine environment. New platforms, new sensors, new control systems have all led to diverse opportunities for collecting data that couples the physical, biological and biogeochemical systems. Many of these opportunities have come about through national programs, bi-lateral partnerships (e.g. Université Laval and UiT, Tromsø research program) or major international initiatives. This has led to new challenges in how these large, spatio-temporal datasets are transmitted, processed and analysed. Automatic techniques are coming into play to analyse the information-rich data e.g. transferring algorithms from medical science applications and use of machine learning techniques. This session welcomes presentations that take us to the cutting edge of platform and sensor development, data challenges and solutions, and how we gain a deeper insight into the function and dynamics of the Arctic marine environment.