Phi-week session

Sentinel-2 image courtesy of 

ESA Φ-week 2020 side-event:

Machine Learning for Operational Ice Charting

Links to session recordings and presentations (pdf)

Matilde Brandt Kreiner (DMI): The ASIP / AI4Arctic sea ice dataset for machine learning applications

David Malmgren-Hansen (DTU): Fusion of Sentinel-1 and AMSR2 with CNNs for Regression of Sea Ice Concentrations


Theofilos Kakantousis (Logical Clocks AB): Building DL Pipelines for Copernicus Data using Hops-works on CREODIAS: ExtremeEarth Polar Use Case

Habib Ullah (UiT): Synthetic aperture radar data analysis by DL for automaticsea ice classification

Corneliu Octavian Dumitru (DLR): Comparison of Efficient Ice Mapping Algorithms for Satellite Images

Alexander Komarov (ECCC): Automated retrieval of ice information from SAR for data assimilation

Session 3 - posters, discussion: Thursday 01 October 16:30-18:00 CEST

Joakim Lillehaug Pedersen (Met Norway): Deep Learning for sea ice

Thomas Kræmer (UIT): Towards automated ice charts using Copernicus data

Jørgen Buus-Hinkler (DMI): Pre- and post-processing of input and output data for CNNs