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Pota et al. (2022). Machine learning for the definition of landslide alert models: a case study in Campania region, Italy

Pota M, Pecoraro G, Rianna G, Reder A, Calvello M, Esposito M (2022). Machine learning for the definition of landslide alert models: a case study in Campania region, Italy. Discover Artifcial Intelligence, 2:15 https://link.springer.com/article/10.1007/s44163-022-00033-5 Abstract Landslide early warning systems at regional scale are typically based on correlations between landslides that occurred in the past and … Continue reading Pota et al. (2022). Machine learning for the definition of landslide alert models: a case study in Campania region, Italy

Tehrani FS, Calvello M, Liu Z, Zhang LM, Lacasse S (2022). Machine learning and landslide studies: recent advances and applications. Natural Hazards, online first. https://doi.org/10.1007/s11069-022-05423-7 Abstract Upon the introduction of machine learning (ML) and its variants, in the form that we know today, to the landslide community, many studies have been carried out to explore … Continue reading Tehrani et al. (2022). Machine learning and landslide studies: recent advances and applications

Pecoraro G, Calvello M (2021). Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides. Landslides, 18:1191–1207. https://link.springer.com/article/10.1007/s10346-020-01599-w Abstract A methodology designed to integrate widespread meteorological monitoring and pore water pressure measurements is proposed. The procedure is tested in 30 hydrological basins highly susceptible to weather-induced landslides in Norway. The following … Continue reading Pecoraro and Calvello (2021). Integrating local pore water monitoring in territorial early warning systems for weather-induced landslides

Tonini M, Pecoraro G, Romailler K, Calvello M (2020). Spatio-temporal cluster analysis of recent Italian landslides. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, on-line first. https://doi.org/10.1080/17499518.2020.1861634 Abstract The present study addresses the pattern distribution of recent landslides in Italy. The main objective is the detection and mapping of spatio-temporal clusters of … Continue reading Tonini et al. (2020). Spatio-temporal cluster analysis of recent Italian landslides