Space–time landslide hazard modeling via Ensemble Neural Networks
Ashok Dahal,
Hakan Tanyas,
Cees van Westen
et al.
Abstract:Abstract. Until now, a full numerical description of the spatio-temporal dynamics of a landslide could be achieved only via physically based models. The part of the geoscientific community in developing data-driven models has instead focused on predicting where landslides may occur via susceptibility models. Moreover, they have estimate when landslides may occur via models that belong to the early-warning system or to the rainfall-threshold classes. In this context, few published research works have explored a… Show more
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