An ensemble neural network approach for space–time landslide predictive modelling-Reference-Cited by-同舟云学术

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An ensemble neural network approach for space–time landslide predictive modelling

Published:2024-08 Issue: Volume:132 Page:104037
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Lim Jana^ORCID,Santinelli Giorgio^ORCID,Dahal Ashok^ORCID,Vrieling Anton^ORCID,Lombardo Luigi

Funder

Deltares

Publisher

Elsevier BV

Reference123 articles.

1. Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning;Abraham;Catena,2021

2. Evaluation of satellite-retrieved extreme precipitation rates across the central United States;AghaKouchak;J. Geophys. Res. Atmos.,2011

3. Dynamic rainfall-induced landslide susceptibility: a step towards a unified forecasting system;Ahmed;Int. J. Appl. Earth Obs. Geoinf.,2023

4. A warning system for rainfall-induced shallow failures;Aleotti;Eng. Geol.,2004

5. Automatic delineation of geomorphological slope units with r. slopeunits v1. 0 and their optimization for landslide susceptibility modeling;Alvioli;Geosci. Model Dev.,2016

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