Skip to Main Content (Press Enter)

Logo UNIPV
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture

UNIFIND
Logo UNIPV

|

UNIFIND

unipv.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  1. Pubblicazioni

Vulnerability study on a large industrial area using satellite remotely sensed images

Articolo
Data di Pubblicazione:
2011
Abstract:
The aim of this paper is to disseminate knowledge in the seismic science community about a possible tool which is not largely popular, despite its potential usefulness. In this paper it will be shown how satellite remotely sensed images may represent a powerful source of information where traditional sources of information are unable to deliver it, or at least to do so timely. Even when traditional information flow can ensure delivery, an advantage may still be found in terms of sooner availability and smaller amount of labour required. In the case shown here a vulnerability study was made on a vast industrial area in the gulf of Siracusa, Sicily, Italy. A series of concurrent factors made it particularly troublesome to obtain information on the structures found in the site (tanks, pipes, chimneys, roads, ...), required to suitably carry out the study. Satellite images were then acquired to obtain the information needed. Processing of the images was carried out relying on in-house software formerly developed for similar information extraction issues, and integrated with new, specifically developed elements, some pieces of information were obtained useful for seismic risk evaluation. In particular, location, footprint, elevation of significant structures (e.g. tanks, chimneys) could be evaluated, obtaining results in a format compatible with the most widespread GIS (Geographic Information System) standards. Such compatibility allowed a considerable savings on labour time required to lay a GIS of the area, which is a fundamental tool for risk and vulnerability analyses.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Remote sensing; Satellite images; Vulnerability study; Industrial area; Simulated design; GIS
Elenco autori:
Barbara, Borzi; Dell'Acqua, Fabio; Marta, Faravelli; Gamba, PAOLO ETTORE; Lisini, Gianni; Mauro, Onida; Polli, DIEGO ALDO
Autori di Ateneo:
DELL'ACQUA FABIO
GAMBA PAOLO ETTORE
Link alla scheda completa:
https://iris.unipv.it/handle/11571/221146
Pubblicato in:
BULLETIN OF EARTHQUAKE ENGINEERING
Journal
  • Dati Generali

Dati Generali

URL

https://link.springer.com/article/10.1007%2Fs10518-010-9211-9
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 25.12.3.0