Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

dc.contributor.author	Taghizadeh-Mehrjardi, Ruhollah
dc.contributor.author	Schmidt, Karsten
dc.contributor.author	Rentschler, Tobias
dc.contributor.author	Behrens, Thorsten
dc.contributor.author	Scholten, Thomas
dc.date.accessioned	2020-10-05T14:14:36Z
dc.date.available	2020-10-05T14:14:36Z
dc.date.issued	2020
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10900/107514
dc.language.iso	en	de_DE
dc.publisher	Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/rs12071095
dc.subject.ddc	550	de_DE
dc.subject.ddc	600	de_DE
dc.title	Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space	de_DE
dc.type	Article	de_DE
utue.quellen.id	20200715072417_00940
utue.personen.roh	Taghizadeh-Mehrjardi, Ruhollah
utue.personen.roh	Schmidt, Karsten
utue.personen.roh	Amirian-Chakan, Alireza
utue.personen.roh	Rentschler, Tobias
utue.personen.roh	Zeraatpisheh, Mojtaba
utue.personen.roh	Sarmadian, Fereydoon
utue.personen.roh	Valavi, Roozbeh
utue.personen.roh	Davatgar, Naser
utue.personen.roh	Behrens, Thorsten
utue.personen.roh	Scholten, Thomas
dcterms.isPartOf.ZSTitelID	Remote Sensing	de_DE
dcterms.isPartOf.ZS-Issue	7	de_DE
dcterms.isPartOf.ZS-Volume	12	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	Sonstige