Modelling of shallow landslides with machine learning algorithms

Modelling of shallow landslides with machine learning algorithms

This paper introduces three machine learning (ML) algorithms, the ‘ensemble’ Random Forest (RF), the ‘ensemble’ Gradient Boosted Regression Tree (GBRT) and the MultiLayer Perceptron neural network (MLP) and applies them to the spatial modelling of shallow landslides near Kvam in Norway. In the devel...

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Bibliographic Details
Main Authors: Zhongqiang Liu, Graham Gilbert, Jose Mauricio Cepeda, Asgeir Olaf Kydland Lysdahl, Luca Piciullo, Heidi Hefre, Suzanne Lacasse
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Geoscience Frontiers
Subjects:
Shallow landslide
Spatial modelling
Machine learning
GIS
Online Access:http://www.sciencedirect.com/science/article/pii/S167498712030116X

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