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Regional soil salinity analysis using stepwise M5 decision tree

Regional soil salinity analysis using stepwise M5 decision tree

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_398398ef7b2a41bfb992abaa6949f718

Regional soil salinity analysis using stepwise M5 decision tree

About this item

Full title

Regional soil salinity analysis using stepwise M5 decision tree

Publisher

England: BioMed Central Ltd

Journal title

BMC research notes, 2025-03, Vol.18 (1), p.90-9, Article 90

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The study aimed to evaluate the potential of multispectral satellite images in soil salinity assessment using linear multiple regression and the M5 decision tree regression method. Therefore, 96 soil samples were collected and correlated with 15 independent spectral information and Landsat 8 satellite image indices.
Due to the nonlinear relation...

Alternative Titles

Full title

Regional soil salinity analysis using stepwise M5 decision tree

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_398398ef7b2a41bfb992abaa6949f718

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_398398ef7b2a41bfb992abaa6949f718

Other Identifiers

ISSN

1756-0500

E-ISSN

1756-0500

DOI

10.1186/s13104-025-07097-3

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