dc.contributor.author | Nocentini, Nicola | |
dc.contributor.author | Rosi, Ascanio | |
dc.contributor.author | Piciullo, Luca | |
dc.contributor.author | Liu, Zhongqiang | |
dc.contributor.author | Segoni, Samuele | |
dc.contributor.author | Fanti, Riccardo | |
dc.date.accessioned | 2024-07-16T13:12:16Z | |
dc.date.available | 2024-07-16T13:12:16Z | |
dc.date.created | 2024-06-25T09:04:20Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Landslides. Journal of the International Consortium on Landslides. 2024, . | |
dc.identifier.issn | 1612-510X | |
dc.identifier.uri | https://hdl.handle.net/11250/3141526 | |
dc.language.iso | eng | |
dc.title | Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway) | |
dc.title.alternative | Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway) | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.pagenumber | 0 | |
dc.source.journal | Landslides. Journal of the International Consortium on Landslides | |
dc.identifier.doi | 10.1007/s10346-024-02287-9 | |
dc.identifier.cristin | 2278554 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |