For all the European Countries, the rail network represents a key critical infrastructure, deserving protection in view of its continuous structure spread over the whole territory, of the high number of European citizens using it for personal and professional reasons, and of the large volume of freight moving through it. Railway system traverses a wide variety of terrains and encounters a range of geo-technical conditions. The interaction of these factors together with climatic, and seismic forcing, may produce ground instabilities that impact on the safety and efficiency of rail operations. In such context, a particular interest is directed to the development of technologies regarding both the prevention of mishaps of infrastructures, due to natural disasters and/or to terrorist attacks, and the fast recovery of their normal working conditions after the occurrence of accidents (disaster managing). Both these issues are of strategic interest for EU Countries, and in particular for Italy, since, more than other countries, it is characterized by a geo-morphological and hydro-geological structure complexity that increases the risk of natural catastrophes due to landslides, overflowings and floods. The present study has been carried out in the framework of a scientific project aimed at producing a diagnostic system, capable to foresee and monitor landslide events along railway networks by integrating in situ data, detected from on board sophisticated innovative measuring systems, with Earth Observation (EO) techniques. Particular importance is attached to the use of advanced SAR interferometry, thanks to their all-weather, day-night capability to detect and measure with sub-centimeter accuracy ground surface displacements that, in such context, can occur before a landslide event or after that movements. Special attention is directed to the use of SAR images acquired by COSMO/SkyMed (ASI) constellation capable to achieve very high spatial resolution and very short revisit and response time. In this context, a stack of 57 CSK stripmap images (pol.: HH; look side: right; pass direction: ascending; beam: H4-03; resolution: 3x3 m2) have been acquired from October 2009 to April 2012, covering the Calabria's Tyrrhenian coast, between the towns of Palmi and Reggio Calabria. The imaged area is of strategic importance since the two towns are connected by a stretch of the Tyrrhenian railway line, a fundamental line (as classified by RFI, the Italian Rail Network) belonging to the TEN-T network, i.e. the trans-european transport network defined since early '90 by the European Commission. Moreover, Calabria region is a challenging area where carrying on an analysis on weathering-related slope movements. In Calabria, on 2009the geo-hydrological crisis was so severe that the Italian Government had to declare the “state of emergency”. This paper concerns the processing of the CSK dataset performed through the SPINUA algorithm a Persistent Scatterers Interferometry technique originally developed with the aim of detection and monitoring of coherent targets in non- or scarcely urbanized areas. The displacement maps derived on the area of interest will be presented and commented with particular attention to the potential impact that such EO-based product can have on the railway networks monitoring.

Railway infrastructure monitoring with COSMO/SkyMed imagery and multi-temporal SAR interferometry / Chiaradia, M; Nutricato, R; Nitti, D O; Bovenga, F; Guerriero, L. - ELETTRONICO. - (2012). (Intervento presentato al convegno AGU Fall Meeting 2012 tenutosi a San Francisco, CA nel December 3-7, 2012).

Railway infrastructure monitoring with COSMO/SkyMed imagery and multi-temporal SAR interferometry

Chiaradia, M;
2012-01-01

Abstract

For all the European Countries, the rail network represents a key critical infrastructure, deserving protection in view of its continuous structure spread over the whole territory, of the high number of European citizens using it for personal and professional reasons, and of the large volume of freight moving through it. Railway system traverses a wide variety of terrains and encounters a range of geo-technical conditions. The interaction of these factors together with climatic, and seismic forcing, may produce ground instabilities that impact on the safety and efficiency of rail operations. In such context, a particular interest is directed to the development of technologies regarding both the prevention of mishaps of infrastructures, due to natural disasters and/or to terrorist attacks, and the fast recovery of their normal working conditions after the occurrence of accidents (disaster managing). Both these issues are of strategic interest for EU Countries, and in particular for Italy, since, more than other countries, it is characterized by a geo-morphological and hydro-geological structure complexity that increases the risk of natural catastrophes due to landslides, overflowings and floods. The present study has been carried out in the framework of a scientific project aimed at producing a diagnostic system, capable to foresee and monitor landslide events along railway networks by integrating in situ data, detected from on board sophisticated innovative measuring systems, with Earth Observation (EO) techniques. Particular importance is attached to the use of advanced SAR interferometry, thanks to their all-weather, day-night capability to detect and measure with sub-centimeter accuracy ground surface displacements that, in such context, can occur before a landslide event or after that movements. Special attention is directed to the use of SAR images acquired by COSMO/SkyMed (ASI) constellation capable to achieve very high spatial resolution and very short revisit and response time. In this context, a stack of 57 CSK stripmap images (pol.: HH; look side: right; pass direction: ascending; beam: H4-03; resolution: 3x3 m2) have been acquired from October 2009 to April 2012, covering the Calabria's Tyrrhenian coast, between the towns of Palmi and Reggio Calabria. The imaged area is of strategic importance since the two towns are connected by a stretch of the Tyrrhenian railway line, a fundamental line (as classified by RFI, the Italian Rail Network) belonging to the TEN-T network, i.e. the trans-european transport network defined since early '90 by the European Commission. Moreover, Calabria region is a challenging area where carrying on an analysis on weathering-related slope movements. In Calabria, on 2009the geo-hydrological crisis was so severe that the Italian Government had to declare the “state of emergency”. This paper concerns the processing of the CSK dataset performed through the SPINUA algorithm a Persistent Scatterers Interferometry technique originally developed with the aim of detection and monitoring of coherent targets in non- or scarcely urbanized areas. The displacement maps derived on the area of interest will be presented and commented with particular attention to the potential impact that such EO-based product can have on the railway networks monitoring.
2012
AGU Fall Meeting 2012
Railway infrastructure monitoring with COSMO/SkyMed imagery and multi-temporal SAR interferometry / Chiaradia, M; Nutricato, R; Nitti, D O; Bovenga, F; Guerriero, L. - ELETTRONICO. - (2012). (Intervento presentato al convegno AGU Fall Meeting 2012 tenutosi a San Francisco, CA nel December 3-7, 2012).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/23368
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