Abstract

Monitoring represents the main tool for carrying out evaluation procedures and criteria for spatial and temporallandslide forecast. The forecast of landslide behaviour depends on the possibility to identify either evidences ofactivity (displacement, velocity, volume of unstable mass, direction of displacement, and their temporal variation)or triggering parameters (rainfalls).Generally, traditional geotechnical landslide monitoring technologies permit to define, if correctly positionedand with adequate accuracy, the critical value of displacement and/or acceleration into landslide body. Inmost cases, they do not allow real time warning signs to be generated, due to environmental induced errors, andthe information is related to few points on unstable area. Remote-sensing monitoring instruments are capableof inspecting an unstable slope with high spatial and temporal frequency, but allow solely measurements ofsuperficial displacements and deformations.Among these latest technologies, the satellite Persistent Scatterer SAR Interferometry (PSInSAR) is veryuseful to investigate the unstable area both in terms of space and time. Indeed, this technique allows to analysewide areas, individuate critical unstable areas, not identifiable by means detailed in situ surveys, and study thephenomenon evolution in a long time-scale.Although this technique usually adopts, as first approximation, a linear model to describe the displacementof the detected targets, also non-linear models can be used. However, the satellite revisit time, which defines thetime sampling of the detected displacement signal, limits the maximum measurable velocity and acceleration.This makes it difficult to assess in the short time any acceleration indicating a loss of equilibrium and,therefore, a probable reactivation of the landslide.The recent Sentinel-1 mission from the European Space Agency (ESA), provides a spatial resolution comparableto the previous ESA missions, but a nominal revisit time reduced to 6 days. By offering regularglobal-scale coverage, better temporal resolution and freely available imagery, Sentinel-1 improves the performanceof PSInSAR for ground displacement investigations.In particular, the short revisit time allows a better time series analysis by improving the temporal samplingand the chances to catch pre-failure signals characterised by high rate and non-linear behaviour signals. Moreover,it allows collecting large data stacks in a short time period, thus improving the PSInSAR performance inemergency (post-event) scenarios.In the present work, we propose to match satellite data with numerical analysis techniques appropriate toevidence unsteady kinematics and, thanks to the high resolution of satellite data and improved temporal sampling,to detect early stages of land instability phenomena.The test area is situated in a small town in the Southern Apennine, Basilicata region, affected by old andnew huge landslides, now close to a live

Autore Pugliese

• Refice Alberto , Bovenga Fabio , Pasquariello Guido

Tutti gli autori

• I. Argentiero ; R. Pellicani ; G. Spilotro ; A. Parisi ; F. Bovenga ;G. Pasquariello ; A. Refice ; R. Nutricato ; D.O. Nitti ; M.T. Chiaradia

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2017

ISSN

Non Disponibile

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile