Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging

dc.contributor.author	Kebonye, Ndiye Michael	de_DE
dc.date.accessioned	2023-05-03T13:11:18Z
dc.date.available	2023-05-03T13:11:18Z
dc.date.issued	2022	de_DE
dc.identifier.uri	http://hdl.handle.net/10900/140409
dc.language.iso	en
dc.relation.uri	https://doi.org/10.1016/j.envpol.2022.120697	de_DE
dc.title	Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging	de_DE
dc.type	Article	de_DE
utue.publikation.seiten	1-12	de_DE
utue.personen.roh	Agyeman, Prince Chapman	de_DE
utue.personen.roh	John, Kingsley	de_DE
utue.personen.roh	Kebonye, Ndiye Michael	de_DE
utue.personen.roh	Khosravi, Vahid	de_DE
utue.personen.roh	Borůvka, Luboš	de_DE
utue.personen.roh	Vašát, Radim	de_DE
dcterms.isPartOf.ZSTitelID	Environmental pollution - Amsterdam [u.a.] : Elsevier Science	de_DE
dcterms.isPartOf.ZS-Issue	1, Artikel-ID 120697	de_DE
dcterms.isPartOf.ZS-Volume	316	de_DE
utue.publikation.seitengesamt	1 Online-Ressource	de_DE
utue.titel.verfasserangabe	Prince Chapman Agyeman, John Kingsley, Ndiye Michael Kebonye, Vahid Khosravi, Luboš Borůvka, Radim Vašát	de_DE
utue.publikation.abrufzeichen	t017	de_DE
utue.publikation.swbdatum	2304	de_DE
utue.artikel.ppn	1843589184	de_DE