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

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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 Artikel 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


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