Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates

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dc.contributor.author Taghizadeh-Mehrjardi, Ruhollah
dc.date.accessioned 2023-05-22T09:18:58Z
dc.date.available 2023-05-22T09:18:58Z
dc.date.issued 2022
dc.identifier.issn 2072-4292
dc.identifier.uri http://hdl.handle.net/10900/141286
dc.language.iso en de_DE
dc.publisher Mdpi de_DE
dc.relation.uri http://dx.doi.org/10.3390/rs14235909 de_DE
dc.subject.ddc 550 de_DE
dc.subject.ddc 570 de_DE
dc.subject.ddc 600 de_DE
dc.subject.ddc 610 de_DE
dc.title Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates de_DE
dc.type Article de_DE
utue.quellen.id 20230202000000_00275
utue.personen.roh Mirzaeitalarposhti, Reza
utue.personen.roh Shafizadeh-Moghadam, Hossein
utue.personen.roh Taghizadeh-Mehrjardi, Ruhollah
utue.personen.roh Demyan, Michael Scott
dcterms.isPartOf.ZSTitelID Remote Sensing de_DE
dcterms.isPartOf.ZS-Issue 23 de_DE
dcterms.isPartOf.ZS-Volume 14 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät de_DE


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