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

dc.contributor.author	Kebonye, Ndiye Michael
dc.date.accessioned	2023-11-28T07:53:19Z
dc.date.available	2023-11-28T07:53:19Z
dc.date.issued	2023
dc.identifier.issn	0269-7491
dc.identifier.uri	http://hdl.handle.net/10900/148165
dc.language.iso	en	de_DE
dc.publisher	Elsevier Sci Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.envpol.2022.120697	de_DE
dc.subject.ddc	570	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.quellen.id	20230619000000_01905
utue.personen.roh	Agyeman, Prince Chapman
utue.personen.roh	Kingsley, John
utue.personen.roh	Kebonye, Ndiye Michael
utue.personen.roh	Khosravi, Vahid
utue.personen.roh	Boruvka, Lubos
utue.personen.roh	Vasat, Radim
dcterms.isPartOf.ZSTitelID	Environmental Pollution	de_DE
dcterms.isPartOf.ZS-Issue	Article 120697	de_DE
dcterms.isPartOf.ZS-Volume	316	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE