Articles | Volume 24, issue 3
https://doi.org/10.5194/nhess-24-823-2024
https://doi.org/10.5194/nhess-24-823-2024
Research article
 | 
08 Mar 2024
Research article |  | 08 Mar 2024

Space–time landslide hazard modeling via Ensemble Neural Networks

Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo

Data sets

ashokdahal/LandslideHazard: v1.0.0 Ashok Dahal https://doi.org/10.5281/zenodo.10765925

Model code and software

ashokdahal/LandslideHazard: v1.0.0 Ashok Dahal https://doi.org/10.5281/zenodo.10765925

Download
Short summary
We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
Altmetrics
Final-revised paper
Preprint