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

Geophysical research letters : GRL 48(6), e2020GL091285 (2021). doi:10.1029/2020GL091285 : Published by Wiley, Hoboken, NJ

Bibliographic Details
Main Authors: Herbert, Christoph, Camps, Adriano, Wellmann, Jan Florian, Vall-llossera, Mercedes
Format: Text
Language:English
Published: RWTH Aachen University 2021
Subjects:
550
Arctic
Sea ice
Online Access:https://dx.doi.org/10.18154/rwth-2021-03755
https://publications.rwth-aachen.de/record/817192
Description
Summary:Geophysical research letters : GRL 48(6), e2020GL091285 (2021). doi:10.1029/2020GL091285 : Published by Wiley, Hoboken, NJ

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