Raw AI4Arctic Sea Ice Challenge Dataset

• Main Authors: Jørgen Buus-Hinkler, Tore Wulf, Andreas Rønne Stokholm, Anton Korosov, Roberto Saldo, Leif Toudal Pedersen, David Arthurs, Rune Solberg, Nicolas Longépé, Matilde Brandt Kreiner
• Format: Dataset
• Language: unknown
• Published: 2022
• Subjects: Other earth sciences not elsewhere classified; sea ice; Sentinel 1; Synthetic aperture radar (SAR); microwave radiometry; Arctic research; Cryosphere; deep learning dataset; Arctic; Greenland; The Sentinel; Sea ice
• Online Access: https://doi.org/10.11583/dtu.21284967.v3; https://figshare.com/articles/dataset/Raw_AI4Arctic_Sea_Ice_Challenge_Dataset/21284967

The AI4Arctic Sea Ice Challenge Datasets are produced for the AI4EO sea ice competition initiated by the European Space Agency (ESA) ɸ-lab. The purpose of the competition is to develop deep learning models to automatically produce sea ice charts including sea ice concentration, stage-of-development...