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African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble mac...

African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble mac...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_99f484c0771a491480592db97c08eade

African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning

About this item

Full title

African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-03, Vol.11 (1), p.6130-18, Article 6130

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Soil property and class maps for the continent of Africa were so far only available at very generalised scales, with many countries not mapped at all. Thanks to an increasing quantity and availability of soil samples collected at field point locations by various government and/or NGO funded projects, it is now possible to produce detailed pan-Afric...

Alternative Titles

Full title

African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_99f484c0771a491480592db97c08eade

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_99f484c0771a491480592db97c08eade

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-85639-y

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