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Machine learning-based calibration of the GOCE satellite platform magnetometers

Machine learning-based calibration of the GOCE satellite platform magnetometers

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_132532042efe43448cbc796f4070324e

Machine learning-based calibration of the GOCE satellite platform magnetometers

About this item

Full title

Machine learning-based calibration of the GOCE satellite platform magnetometers

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Earth, planets, and space, 2022-12, Vol.74 (1), p.1-23, Article 138

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Additional datasets from space-based observations of the Earth’s magnetic field are of high value to space physics and geomagnetism. The use of platform magnetometers from non-dedicated satellites has recently successfully provided additional spatial and temporal coverage of the magnetic field. The Gravity and steady-state Ocean Circulation Explore...

Alternative Titles

Full title

Machine learning-based calibration of the GOCE satellite platform magnetometers

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_132532042efe43448cbc796f4070324e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_132532042efe43448cbc796f4070324e

Other Identifiers

ISSN

1880-5981,1343-8832

E-ISSN

1880-5981

DOI

10.1186/s40623-022-01695-2

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