Landsliding is a natural geologic and geomorphic process that plays a key role in denudation, landform development, in hilly-mountainous terrain. Besides, landslides are one of the most natural hazard that cause damage to both property and life all over the world. In this work the artificial neural network (ANN) technique was tested for the evaluation and mapping the landslide susceptibility in Crotone Province (Calabria, South Italy).

Neural Network model for predicting landslide susceptibility: A case study from Crotone Province (Calabria, South Italy)

Conforti M;
2012

Abstract

Landsliding is a natural geologic and geomorphic process that plays a key role in denudation, landform development, in hilly-mountainous terrain. Besides, landslides are one of the most natural hazard that cause damage to both property and life all over the world. In this work the artificial neural network (ANN) technique was tested for the evaluation and mapping the landslide susceptibility in Crotone Province (Calabria, South Italy).
2012
Istituto per i Sistemi Agricoli e Forestali del Mediterraneo - ISAFOM
Neural Network
GIS
Landslide susceptibility
Calabria
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/389268
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact