Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting

Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting

Landslide susceptibility assessment using machine learning models is a popular and consolidated approach worldwide. The main constraint of susceptibility maps is that they are not adequate for temporal assessments: they are generated from static predisposing factors, allowing only a spatial predicti...

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Bibliographic Details
Main Authors: Nicola Nocentini, Ascanio Rosi, Samuele Segoni, Riccardo Fanti
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Earth Science
Subjects:
machine learning
landslides
random forest
susceptibility
variables’ importance
landslide probability map
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1152130/full

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