Articles | Volume 20, issue 1
Nat. Hazards Earth Syst. Sci., 20, 271–285, 2020
Nat. Hazards Earth Syst. Sci., 20, 271–285, 2020

Research article 22 Jan 2020

Research article | 22 Jan 2020

Dynamic path-dependent landslide susceptibility modelling

Jalal Samia et al.

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Cited articles

Akaike, H.: Information theory and an extension of the maximum likelihood principle, in: Selected Papers of Hirotugu Akaike, Springer, New York, 199–213, 1998. 
Alvioli, M., Marchesini, I., Reichenbach, P., Rossi, M., Ardizzone, F., Fiorucci, F., and Guzzetti, F.: Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling, Geosci. Model Dev., 9, 3975–3991,, 2016. 
Ardizzone, F., Cardinali, M., Galli, M., Guzzetti, F., and Reichenbach, P.: Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar, Nat. Hazards Earth Syst. Sci., 7, 637–650,, 2007. 
Ardizzone, F., Fiorucci, F., Santangelo, M., Cardinali, M., Mondini, A. C., Rossi, M., Reichenbach, P., and Guzzetti, F.: Very-high resolution stereoscopic satellite images for landslide mapping, in: Landslide science and practice, Springer, Berlin, Heidelberg, 95–101, 2013. 
Ardizzone, F., Fiorucci, F., Mondini, A. C., and Guzzetti, F.: TXT-tool 1.039-1.1: Very-High Resolution Stereo Satellite Images for Landslide Mapping, in: Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring, edited by: Sassa, K., Guzzetti, F., Yamagishi, H., Arbanas, Ž., Casagli, N., McSaveney, M., and Dang, K., Springer International Publishing, Cham, 83–94, 2018. 
Short summary
For the Collazzone study area in Italy, we quantified how much landslides follow others using Ripley's K function, finding that susceptibility is increased within 60 m and 17 years after a previous landslide. We then calculated the increased susceptibility for every pixel and for the 17-time-slice landslide inventory. We used these as additional explanatory variables in susceptibility modelling. Model performance increased substantially with this landslide history component included.
Final-revised paper