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Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway)

Crossref DOI link: https://doi.org/10.1007/s10346-024-02287-9

Published Online: 2024-06-12

Published Print: 2024-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nocentini, Nicola https://orcid.org/0000-0001-5411-4685
Rosi, Ascanio https://orcid.org/0000-0001-8930-5705
Piciullo, Luca https://orcid.org/0000-0003-3108-1256
Liu, Zhongqiang https://orcid.org/0000-0002-1693-5746
Segoni, Samuele https://orcid.org/0000-0002-6030-1046
Fanti, Riccardo https://orcid.org/0000-0001-6960-058X
Funding

Funding for this research was provided by:

Università degli Studi di Padova
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Text and Data Mining valid from 2024-06-12

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Article History

Received: 7 November 2023

Accepted: 20 May 2024

First Online: 12 June 2024

Declarations

:

: The authors declare no competing interests.