dc.contributor.author | Gläßle, Thomas | |
dc.contributor.author | Rau, Kerstin | |
dc.contributor.author | Schmidt, Karsten | |
dc.contributor.author | Scholten, Thomas | |
dc.contributor.author | Hennig, Philipp | |
dc.date.accessioned | 2022-05-18T15:18:41Z | |
dc.date.available | 2022-05-18T15:18:41Z | |
dc.date.issued | 2021-04 | |
dc.identifier.uri | http://hdl.handle.net/10900/127140 | |
dc.language.iso | en | de_DE |
dc.relation.uri | https://doi.org/10.5194/egusphere-egu21-2452 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | Topographic Kernels for Gaussian Process Regression in Digital Soil Mapping | de_DE |
dc.type | Preprint | de_DE |
utue.personen.roh | Gläßle, Thomas | |
utue.personen.roh | Rau, Kerstin | |
utue.personen.roh | Schmidt, Karsten | |
utue.personen.roh | Scholten, Thomas | |
utue.personen.roh | Hennig, Philipp | |
dcterms.isPartOf.ZSTitelID | EGU General Assembly Conference Abstracts | de_DE |
dcterms.isPartOf.ZS-Volume | EGU21-2452 | de_DE |
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