An international observing system for long-term measurements in and around the Norwegian archipelago of Svalbard addressing Earth System Science questions
This years' SIOS remote sensing course will be on how to effectively use Artificial Intelligence (AI) methods in Arctic Earth observation with special focus on research in Svalbard.
Nearshore waters are among the most productive regions in the Arctic, but global warming with increased river runoff combined with coastal erosion leads to massive sediment plumes that can disrupt this important ecosystem. The overall aim of this project was to improve the accuracy of Ocean Colour Remote Sensing to determine the dynamic nature and extent of river plumes in the high-Arctic.
Since January, SIOS-KC has a new staff member - Rudolf Denkmann. In his position as project officer, he will mainly focus on the coordination of the projects ENVRI-FAIR and InfraNor. In addition, he will work on core data harmonisation and tool/software development.