Landslide displacement forecasting using deep learning and monitoring data across selected sites
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Landslide displacement forecasting using deep learning and monitoring data across selected sites ; volume:20 ; number:10 ; day:30 ; month:6 ; year:2023 ; pages:2111-2129 ; date:10.2023
Landslides ; 20, Heft 10 (30.6.2023), 2111-2129, 10.2023
- Urheber
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Nava, Lorenzo
Carraro, Edoardo
Reyes-Carmona, Cristina
Puliero, Silvia
Bhuyan, Kushanav
Rosi, Ascanio
Monserrat, Oriol
Floris, Mario
Meena, Sansar Raj
Galve, Jorge Pedro
Catani, Filippo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10346-023-02104-9
- URN
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urn:nbn:de:101:1-2023121314132647023844
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:22 MESZ
Datenpartner
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Beteiligte
- Nava, Lorenzo
- Carraro, Edoardo
- Reyes-Carmona, Cristina
- Puliero, Silvia
- Bhuyan, Kushanav
- Rosi, Ascanio
- Monserrat, Oriol
- Floris, Mario
- Meena, Sansar Raj
- Galve, Jorge Pedro
- Catani, Filippo
- SpringerLink (Online service)
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