Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

dc.contributor.author	Taghizadeh-Mehrjardi, Ruhollah
dc.contributor.author	Scholten, Thomas
dc.date.accessioned	2021-01-18T09:29:36Z
dc.date.available	2021-01-18T09:29:36Z
dc.date.issued	2020
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10900/111612
dc.language.iso	en	de_DE
dc.publisher	Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/rs12142234	de_DE
dc.subject.ddc	550	de_DE
dc.subject.ddc	600	de_DE
dc.title	Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran	de_DE
dc.type	Article	de_DE
utue.quellen.id	20200929220116_00701
utue.personen.roh	Emadi, Mostafa
utue.personen.roh	Taghizadeh-Mehrjardi, Ruhollah
utue.personen.roh	Cherati, Ali
utue.personen.roh	Danesh, Majid
utue.personen.roh	Mosavi, Amir
utue.personen.roh	Scholten, Thomas
dcterms.isPartOf.ZSTitelID	Remote Sensing	de_DE
dcterms.isPartOf.ZS-Issue	Article 2234	de_DE
dcterms.isPartOf.ZS-Volume	12	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE