Assessment of Land Suitability Potential Using Ensemble Approaches of Advanced Multi-Criteria Decision Models and Machine Learning for Wheat Cultivation

dc.contributor.author	Nabiollahi, Kamal
dc.contributor.author	Kebonye, Ndiye Michael
dc.contributor.author	Shokati, Hadi
dc.contributor.author	Scholten, Thomas
dc.date.accessioned	2024-11-14T11:43:59Z
dc.date.available	2024-11-14T11:43:59Z
dc.date.issued	2024
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10900/158893
dc.language.iso	en	en
dc.publisher	Basel : Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/rs16142566
dc.subject.ddc	570	de_DE
dc.subject.ddc	550	de_DE
dc.subject.ddc	600	de_DE
dc.subject.ddc	610	de_DE
dc.title	Assessment of Land Suitability Potential Using Ensemble Approaches of Advanced Multi-Criteria Decision Models and Machine Learning for Wheat Cultivation	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_00935
utue.personen.roh	Nabiollahi, Kamal
utue.personen.roh	Kebonye, Ndiye M.
utue.personen.roh	Molani, Fereshteh
utue.personen.roh	Tahari-Mehrjardi, Mohammad Hossein
utue.personen.roh	Taghizadeh-Mehrjardi, Ruhollah
utue.personen.roh	Shokati, Hadi
utue.personen.roh	Scholten, Thomas
dcterms.isPartOf.ZSTitelID	Remote Sensing	de_DE
dcterms.isPartOf.ZS-Issue	14	de_DE
dcterms.isPartOf.ZS-Volume	16	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	Sonstige