How can we quantify, explain, and apply the uncertainty of complex soil maps predicted with neural networks?

dc.contributor.author	Rau, Kerstin
dc.contributor.author	Eggensperger, Katharina
dc.contributor.author	Schneider, Frank
dc.contributor.author	Hennig, Philipp
dc.contributor.author	Scholten, Thomas
dc.date.accessioned	2025-03-18T07:25:57Z
dc.date.available	2025-03-18T07:25:57Z
dc.date.issued	2024
dc.identifier.issn	0048-9697
dc.identifier.uri	http://hdl.handle.net/10900/163076
dc.language.iso	en	de_DE
dc.publisher	Amsterdam : Elsevier	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.scitotenv.2024.173720	de_DE
dc.subject.ddc	570	de_DE
dc.title	How can we quantify, explain, and apply the uncertainty of complex soil maps predicted with neural networks?	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_01120
utue.personen.roh	Rau, Kerstin
utue.personen.roh	Eggensperger, Katharina
utue.personen.roh	Schneider, Frank
utue.personen.roh	Hennig, Philipp
utue.personen.roh	Scholten, Thomas
dcterms.isPartOf.ZSTitelID	Science of The Total Environment	de_DE
dcterms.isPartOf.ZS-Issue	Article 173720	de_DE
dcterms.isPartOf.ZS-Volume	944	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE