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

Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Herbert, Christoph, Camps, Adriano, Wellmann, Jan Florian, Vall-llossera, Mercedes
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2021
Subjects:
info:eu-repo/classification/ddc/550
Arctic
Sea ice
Online Access:https://publications.rwth-aachen.de/record/817192
https://publications.rwth-aachen.de/search?p=id:%22RWTH-2021-03755%22
id ftrwthaachenpubl:oai:publications.rwth-aachen.de:817192
record_format openpolar
spelling ftrwthaachenpubl:oai:publications.rwth-aachen.de:817192 2023-05-15T14:42:26+02:00 Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data Herbert, Christoph Camps, Adriano Wellmann, Jan Florian Vall-llossera, Mercedes DE 2021 https://publications.rwth-aachen.de/record/817192 https://publications.rwth-aachen.de/search?p=id:%22RWTH-2021-03755%22 eng eng Wiley info:eu-repo/semantics/altIdentifier/doi/10.18154/RWTH-2021-03755 info:eu-repo/semantics/altIdentifier/issn/0094-8276 info:eu-repo/semantics/altIdentifier/issn/1944-8007 info:eu-repo/semantics/altIdentifier/doi/10.1029/2020GL091285 info:eu-repo/semantics/altIdentifier/wos/WOS:000635209100001 https://publications.rwth-aachen.de/record/817192 https://publications.rwth-aachen.de/search?p=id:%22RWTH-2021-03755%22 info:eu-repo/semantics/openAccess Geophysical research letters : GRL 48(6), e2020GL091285 (2021). doi:10.1029/2020GL091285 info:eu-repo/classification/ddc/550 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftrwthaachenpubl https://doi.org/10.1029/2020GL091285 https://doi.org/10.18154/RWTH-2021-03755 2022-07-31T22:51:13Z Article in Journal/Newspaper Arctic Sea ice RWTH Aachen University: RWTH Publications Arctic Geophysical Research Letters 48 6
institution Open Polar
collection RWTH Aachen University: RWTH Publications
op_collection_id ftrwthaachenpubl
language English
topic info:eu-repo/classification/ddc/550
spellingShingle info:eu-repo/classification/ddc/550
Herbert, Christoph
Camps, Adriano
Wellmann, Jan Florian
Vall-llossera, Mercedes
Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data
topic_facet info:eu-repo/classification/ddc/550
format Article in Journal/Newspaper
author Herbert, Christoph
Camps, Adriano
Wellmann, Jan Florian
Vall-llossera, Mercedes
author_facet Herbert, Christoph
Camps, Adriano
Wellmann, Jan Florian
Vall-llossera, Mercedes
author_sort Herbert, Christoph
title Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data
title_short Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data
title_full Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data
title_fullStr Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data
title_full_unstemmed Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data
title_sort bayesian unsupervised machine learning approach to segment arctic sea ice using smos data
publisher Wiley
publishDate 2021
url https://publications.rwth-aachen.de/record/817192
https://publications.rwth-aachen.de/search?p=id:%22RWTH-2021-03755%22
op_coverage DE
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Geophysical research letters : GRL 48(6), e2020GL091285 (2021). doi:10.1029/2020GL091285
op_relation info:eu-repo/semantics/altIdentifier/doi/10.18154/RWTH-2021-03755
info:eu-repo/semantics/altIdentifier/issn/0094-8276
info:eu-repo/semantics/altIdentifier/issn/1944-8007
info:eu-repo/semantics/altIdentifier/doi/10.1029/2020GL091285
info:eu-repo/semantics/altIdentifier/wos/WOS:000635209100001
https://publications.rwth-aachen.de/record/817192
https://publications.rwth-aachen.de/search?p=id:%22RWTH-2021-03755%22
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1029/2020GL091285
https://doi.org/10.18154/RWTH-2021-03755
container_title Geophysical Research Letters
container_volume 48
container_issue 6
_version_ 1766314157755334656

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