| dc.contributor.author | Hennig, Philipp | |
| dc.contributor.author | Scholten, Thomas | |
| dc.date.accessioned | 2023-09-07T11:20:02Z | |
| dc.date.available | 2023-09-07T11:20:02Z | |
| dc.date.issued | 2023-04-28 | |
| dc.identifier.uri | http://hdl.handle.net/10900/145335 | |
| dc.language.iso | en | de_DE |
| dc.publisher | EGU | de_DE |
| dc.relation.uri | https://doi.org/10.5194/egusphere-egu23-689 | de_DE |
| dc.subject.ddc | 004 | 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.personen.roh | Hennig, Philipp | |
| utue.personen.roh | Rau, Kerstin | |
| utue.personen.roh | Gläßle, Thomas | |
| utue.personen.roh | Scholten, Thomas | |
| dcterms.isPartOf.ZSTitelID | EGU General Assembly 2023 | de_DE |
| Dateien | Größe | Format | Anzeige |
|---|---|---|---|
|
Zu diesem Dokument gibt es keine Dateien. |
|||