The "Costa Viola" mountain ridge (Calabria) is exposed to severe geo-hydrological risk conditions, especially in the sector between Bagnara Calabra and Scilla. This sector has repeatedly been affected by slope instability events in the past, mainly related to debris slides, rock falls and debris flows. An attempt of shallow-landslide susceptibility mapping has been performed for the mentioned coastal sector through a logistic regression (LR) approach. LR is a multivariate type of analysis that allows estimating the presence/absence of a phenomenon in terms of probability (ranging between 0 and 1), on the basis of linear statistical relationships with a set of independent territorial variables. The adopted LR procedure consists of four steps: (1) variable parameterization, (2) sampling, (3) fitting, and (4) application. Obtained results can be considered acceptable, as 85.6 % of cells are correctly classified.

Shallow-Landslide Susceptibility in the Costa Viola Mountain Ridge (Italia)

Stefano L Gariano;
2013

Abstract

The "Costa Viola" mountain ridge (Calabria) is exposed to severe geo-hydrological risk conditions, especially in the sector between Bagnara Calabra and Scilla. This sector has repeatedly been affected by slope instability events in the past, mainly related to debris slides, rock falls and debris flows. An attempt of shallow-landslide susceptibility mapping has been performed for the mentioned coastal sector through a logistic regression (LR) approach. LR is a multivariate type of analysis that allows estimating the presence/absence of a phenomenon in terms of probability (ranging between 0 and 1), on the basis of linear statistical relationships with a set of independent territorial variables. The adopted LR procedure consists of four steps: (1) variable parameterization, (2) sampling, (3) fitting, and (4) application. Obtained results can be considered acceptable, as 85.6 % of cells are correctly classified.
2013
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
Inglese
Spatial Analysis and Modelling
81
87
7
978-3-642-31310-3
Springer-Verlag
Berlin Heidelberg
GERMANIA
Sì, ma tipo non specificato
Shallow-landslide
Susceptibility
Logistic regression
5
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
restricted
GR Iovine, Giulio; Greco, Roberto; Gariano, STEFANO LUIGI; Iaquinta, Pasquale; Pellegrino, Annamaria; G Terranova, Oreste
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/268305
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