Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data

Journal: Geophysical Research Letters

Published: 2021-03-28

DOI: 10.1029/2020gl091285

Affiliations: 3

Authors: 4

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Institutions Share
Institute for Space Studies of Catalonia (IEEC), Spain 0.38
SMOS Barcelona Expert Centre (SMOS-BEC), Spain 0.38
RWTH Aachen University (RWTH Aachen), Germany 0.25

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