Articles | Volume 21, issue 5
Nat. Hazards Earth Syst. Sci., 21, 1467–1471, 2021
https://doi.org/10.5194/nhess-21-1467-2021

Special issue: Perspectives on challenges and step changes for addressing...

Nat. Hazards Earth Syst. Sci., 21, 1467–1471, 2021
https://doi.org/10.5194/nhess-21-1467-2021

Invited perspectives 11 May 2021

Invited perspectives | 11 May 2021

Invited perspectives: Landslide populations – can they be predicted?

Fausto Guzzetti

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Cited articles

Alexander, E. D.: Vulnerability to landslides, in: Landslide risk assessment, edited by: Glade, T., Anderson, M. G., and Crozier, M. J., John Wiley, Chichester, UK, 175–198, https://doi.org/10.1002/9780470012659.ch5, 2005. 
Alvioli, M. and Baum, R. L.: Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface, Environ. Model. Softw,. 81, 122–135, https://doi.org/10.1016/j.envsoft.2016.04.002, 2016.  
Alvioli, M., Melillo, M., Guzzetti, F., Rossi, M., Palazzi, E., von Hardenberg, J., Brunetti, M. T., and Peruccacci, S.: Implications of climate change on landslide hazard in Central Italy, Sci. Total Environ., 630, 1528–1543, https://doi.org/10.1016/j.scitotenv.2018.02.315, 2018. 
Aschbacher, J.: ESA's Earth Observation Strategy and Copernicus, in: Satellite Earth Observations and Their Impact on Society and Policy, chap. 5, edited by: Onoda, M. and Young, O. R., Springer, Singapore, Singapore, 81–86, https://doi.org/10.1007/978-981-10-3713-9_5, 2017. 
Bellugi, D., Dietrich, W. E., Stock, J. D., McKean, J. A., Kazian, B., and Hargrove, P.: Spatially Explicit Shallow Landslide Susceptibility Mapping Over Large Areas, Ital. J. Eng. Geol. Environ., 399–407, https://doi.org/10.4408/IJEGE.2011-03.B-045, 2011. 
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This is a perspective based on personal experience on whether a large number of landslides caused by a single trigger (e.g. an earthquake, an intense rainfall, a rapid snowmelt event) or by multiple triggers in a period can be predicted, in space and time, considering the consequences of slope failures.
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