Synthetic resampling strategies and machine learning for digital soil mapping in Iran

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dc.contributor.author Taghizadeh-Mehrjardi, Ruhollah
dc.contributor.author Schmidt, Karsten
dc.contributor.author Behrens, Thorsten
dc.contributor.author Scholten, Thomas
dc.date.accessioned 2020-09-29T08:47:11Z
dc.date.available 2020-09-29T08:47:11Z
dc.date.issued 2020
dc.identifier.issn 1365-2389
dc.identifier.uri http://hdl.handle.net/10900/107312
dc.language.iso en de_DE
dc.publisher Wiley de_DE
dc.relation.uri http://dx.doi.org/10.1111/ejss.12893 de_DE
dc.subject.ddc 550 de_DE
dc.title Synthetic resampling strategies and machine learning for digital soil mapping in Iran de_DE
dc.type Artikel de_DE
utue.quellen.id 20200715072417_00653
utue.publikation.seiten 352-368 de_DE
utue.personen.roh Taghizadeh-Mehrjardi, Ruhollah
utue.personen.roh Schmidt, Karsten
utue.personen.roh Eftekhari, Kamran
utue.personen.roh Behrens, Thorsten
utue.personen.roh Jamshidi, Mohammad
utue.personen.roh Davatgar, Naser
utue.personen.roh Toomanian, Norair
utue.personen.roh Scholten, Thomas
dcterms.isPartOf.ZSTitelID European Journal of Soil Science de_DE
dcterms.isPartOf.ZS-Issue 3 de_DE
dcterms.isPartOf.ZS-Volume 71 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät de_DE


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