Algorithms for the Near-Real Time Identification and Classification of Landslide Events Detected by Automatic Monitoring Tools

Author:

Valletta AlessandroORCID,Carri AndreaORCID,Savi Roberto,Segalini AndreaORCID

Publisher

Springer International Publishing

Reference20 articles.

1. UNDRR: Report of the open-ended intergovernmental expert working group on indicators and terminology relating to disaster risk reduction. United Nations General Assembly (2016)

2. UNISDR: Developing early warning systems, a checklist. In: Third International Conference on Early Warning (EWC III), United Nations, Bonn, Germany (2006)

3. Di Biagio, E., Kjekstad, O.: Early warning, instrumentation and monitoring landslides. In: Proceedings of the 2nd Regional Training Course, RECLAIM II, Phuket, Thailand, pp. 1–24. Asian Disaster Preparedness Centre (2007)

4. Intrieri, E., Gigli, G., Casagli, N., Nadim, F.: Brief communication “Landslide Early Warning System: toolbox and general concepts.” Nat. Hazards Earth Syst. Sci. 13, 85–90 (2013). https://doi.org/10.5194/nhess-13-85-2013

5. Calvello, M., d’Orsi, R.N., Piciullo, L., Paes, N., Magalhaes, M., Lacerda, W.A.: The Rio de Janeiro early warning system for rainfall-induced landslides: analysis of performance for the years 2010–2013. Int. J. Disaster Risk Reduction 12, 3–15 (2015). https://doi.org/10.1016/j.ijdrr.2014.10.005

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