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Recovering 3D Basin Basement Relief Using High‐Precision Magnetic Data Through Random Forest Regress...

Recovering 3D Basin Basement Relief Using High‐Precision Magnetic Data Through Random Forest Regress...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d91b900772d476e9e6e0464fa2032e1

Recovering 3D Basin Basement Relief Using High‐Precision Magnetic Data Through Random Forest Regression Algorithm: A Case Study of Tianzhen‐Yanggao Sag in Datong Basin

About this item

Full title

Recovering 3D Basin Basement Relief Using High‐Precision Magnetic Data Through Random Forest Regression Algorithm: A Case Study of Tianzhen‐Yanggao Sag in Datong Basin

Publisher

Hoboken: John Wiley & Sons, Inc

Journal title

Earth and Space Science, 2024-06, Vol.11 (6), p.n/a

Language

English

Formats

Publication information

Publisher

Hoboken: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Inversion of magnetic basement interfaces in basins is essential for interpreting potential field data and studying geothermal resource distribution, as well as basin formation and evolution. This paper introduces a novel method for inverting magnetic basement interfaces using a random forest regression (RFR) algorithm that combines potential field...

Alternative Titles

Full title

Recovering 3D Basin Basement Relief Using High‐Precision Magnetic Data Through Random Forest Regression Algorithm: A Case Study of Tianzhen‐Yanggao Sag in Datong Basin

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3d91b900772d476e9e6e0464fa2032e1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d91b900772d476e9e6e0464fa2032e1

Other Identifiers

ISSN

2333-5084

E-ISSN

2333-5084

DOI

10.1029/2023EA003493

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