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papersSEP 10 04:00 UTC

Machine learning model maps sea-ice types with uncertainty estimates from multiple ice charts

Researchers describe a machine learning approach that classifies sea ice by its stage of development, using labels drawn from several operational ice charts compiled by human analysts. The method also estimates uncertainty, which is relevant for navigation and ice monitoring where chart interpretations can vary.

machine-learning/remote-sensing/uncertainty/climate