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An ensemble neural network approach for space-time landslide predictive modelling
February 2024 • Jana P. Lim, Giorgio Santinelli, Ashok Dahal, Anton Vrieling, Luigi Lombardo
There is an urgent need for accurate and effective Landslide Early Warning Systems (LEWS). Most LEWS are currently based on a single temporally-aggregated measure of rainfall derived from either in-situ measurements or satellite-based rainfall estimates. Relying on a summary metric of precipitation may not capture the complexity of the rainfall signal and its dynamics in space and time in triggering landslides. Here, we present a proof-of-concept for constructing a LEWS that is based on an integrated spatio-tempor…