Work

Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques

Year: 2021

Type: article

Source: CATENA

DOI: 10.1016/j.catena.2021.105317

Authors: A. Novellino, M. Cesarano, P. Cappelletti, D. Di Martire, M. Di Napoli, M. Ramondini, A. Sowter, D. Calcaterra

Institutions: British Geological Survey, University of Naples Federico II, University of Genoa

Language: English

Topic: Landslides and related hazards

Subfield: Management, Monitoring, Policy and Law

Field: Environmental Science

Domain: Physical Sciences

Open Access status: closed

Funders: Compagnia di San Paolo, Natural Environment Research Council

Award: G8855944833

OpenAlex ID: W3138633680

FWCI: 18.21

Cites: 59

Cited by: 161

Related to: 10