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| dc.contributor.author | Kladny, Klaus -Rudolf | |
| dc.date.accessioned | 2024-06-18T09:54:47Z | |
| dc.date.available | 2024-06-18T09:54:47Z | |
| dc.date.issued | 2024 | |
| dc.identifier.issn | 1574-9541 | |
| dc.identifier.uri | http://hdl.handle.net/10900/154326 | |
| dc.language.iso | en | de_DE |
| dc.publisher | Amsterdam : Elsevier | de_DE |
| dc.relation.uri | http://dx.doi.org/10.1016/j.ecoinf.2024.102474 | de_DE |
| dc.subject.ddc | 570 | de_DE |
| dc.title | Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data | de_DE |
| dc.type | Article | de_DE |
| utue.quellen.id | 20240422000000_00837 | |
| utue.personen.roh | Kladny, Klaus -Rudolf | |
| utue.personen.roh | Milanta, Marco | |
| utue.personen.roh | Mraz, Oto | |
| utue.personen.roh | Hufkens, Koen | |
| utue.personen.roh | Stocker, Benjamin D. | |
| dcterms.isPartOf.ZSTitelID | Ecological Informatics | de_DE |
| dcterms.isPartOf.ZS-Issue | Article 102474 | de_DE |
| dcterms.isPartOf.ZS-Volume | 80 | de_DE |
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