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Landslides

, Volume 7, Issue 3, pp 291–301 | Cite as

Monitoring, prediction, and early warning using ground-based radar interferometry

  • Nicola Casagli
  • Filippo Catani
  • Chiara Del Ventisette
  • Guido Luzi
Original Paper

Abstract

In order to define adequate prevention measures and to manage landslide emergencies, real-time monitoring is required. This paper presents two different applications of the remote sensing technique: the ground-based synthetic aperture radar interferometry, here proposed as a monitoring and early warning support for slope instability. Data acquisitions carried out through a ground-based synthetic aperture radar interferometer, operating in Ku band, installed in front of the observed slopes, are discussed. Two case studies, based on the use of the same apparatus (formerly developed by the Joint Research Center of the European Commission and by Ellegi-LiSALab srl), are reported: the first one concerns the monitoring of a large landslide, named Ruinon (Valfurva, Italy). The second one deals with the monitoring of the NW unstable slope in the Stromboli island aimed to implementing an early warning system. Acquired interferometric data are processed to provide displacements and velocity maps of the monitored area. The monitoring services ongoing on the Ruinon landslide and on Stromboli demonstrate the capability of this technique to operate in different operative settings (i.e., different phenomena and geological framework) and for different aims (monitoring for prevention, early warning, and emergency assessment). This methodology has also been proved by national and regional authorities of civil protection in order to provide a real-time monitoring for emergency management.

Keywords

Landslides Interferometry Ground-based SAR Ruinon (Valfurva, Italy) Stromboli (Italy) 

Notes

Acknowledgements

This work has been partly sponsored by the National Civil Protection Department (DPC), in the framework of the SAR.net Project, partially by PRIN Project 2007 (Development and validation of hydraulic and geological tools for supporting a Tsunami Early Warning System: implementation to the Stromboli landslide case) and partly from the Valfurva Municipality. The DPC is acknowledged for the support of the project and for the permission given for the publication. The authors are grateful to Dario Tarchi and Joaquim Fortuny-Guasch for their support to data processing and interpretation, to the Ellegi-Lisalab for providing the systems used for data acquisition and to Dr. Mannucci (ARPA-Lombardia) for making available rainfall data. Thanks are due to the staff of the Engineering Geology group of the Earth Science Department of the University of Florence, for their valuable and constant work.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Nicola Casagli
    • 1
  • Filippo Catani
    • 1
  • Chiara Del Ventisette
    • 1
  • Guido Luzi
    • 1
  1. 1.Department of Earth SciencesUniversity of FirenzeFlorenceItaly

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