Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be

Author:

Fang Zhice,Wang YiORCID,van Westen Cees,Lombardo Luigi

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference61 articles.

1. On the prediction of landslide occurrences and sizes via Hierarchical Neural Networks;Aguilera;Stoch. Env. Res. Risk A.,2022

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3. Automatic delineation of geomorphological slope units with r. slopeunits v1. 0 and their optimization for landslide susceptibility modeling;Alvioli;Geosci. Model Dev.,2016

4. Parameter-free delineation of slope units and terrain subdivision of Italy;Alvioli;Geomorphology,2020

5. An introduction to MCMC for machine learning;Andrieu;Mach. Learn.,2003

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