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The Use of Radar Interferometry in Landslide Monitoring

  • Filippo Catani
  • Paolo CanutiEmail author
  • Nicola Casagli
Chapter
Part of the Environmental Science and Engineering book series (ESE)

Abstract

This chapter presents some specific considerations on the use of SAR interferometry to landslide studies. Both space-borne and ground-based methods are briefly reviewed and main issues in the application of them discussed on the basis of real examples. The large literature on the subject seems to suggest that PSI techniques have a large field of possible applications ranging from landslide mapping to monitoring. Limitations are mainly linked to revising time, thus time resolution and can be overcome, for selected priority unstable slope, by the implementation of GB-InSAR early warning systems, where SAR methods must always be complemented by traditional (or new technology) in situ direct measurements, including underground tools such as inclinometers.

Keywords

Landslide mapping Landslide monitoring Radar interferometry Landslide hazard Landslide early warning 

References

  1. Berardino P, Fornaro G, Lanari R, Sansosti E (2002) A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans Geosci Remote Sens 40:2375–2383CrossRefGoogle Scholar
  2. Canuti P, Casagli N, Catani F, Falorni G, Farina P (2007) Integration of remote sensing techniques in different stages of landslide response. In: Sassa K, Fukuoka H, Wang F, Wang G (eds) Progress in Landslide Science, Springer, Berlin, pp 251–260Google Scholar
  3. Casagli N, Catani F, Del Ventisette C, Luzi G (2010) Monitoring, prediction, and early warning using ground-based radar interferometry. Landslides 7:291–301CrossRefGoogle Scholar
  4. Catani F, Farina P, Moretti S, Nico G, Strozzi T (2005) On the application of SAR interferometry to geomorphological studies: estimation of landform attributes and mass movements. Geomorphology 66(1–4):119–131CrossRefGoogle Scholar
  5. Colesanti C, Ferretti A, Prati C, Rocca F (2003) Monitoring landslides and tectonic motions with the permanent scatterers technique. Eng Geol 68:3–14CrossRefGoogle Scholar
  6. Crosetto M, Biescas E, Duro J, Closa J, Arnaud A (2008) Generation of advanced ERS and envisat interferometric SAR products using stable point network technique. Photogram Eng Remote Sens 74:443–450Google Scholar
  7. Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides investigation and mitigation, Special Report 247. Transportation Research Board, National Research Council, Washington DC, pp 36–75Google Scholar
  8. Farina P, Colombo D, Fumagalli A, Marks F, Moretti S (2006) Permanent scatterers for landslide investigations: outcomes from the ESA-SLAM project. Eng Geol 88:200–217CrossRefGoogle Scholar
  9. Ferretti A, Prati C, Rocca F (2000) Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Trans Geosci Remote Sens 38:2202–2212CrossRefGoogle Scholar
  10. Ferretti A, Prati C, Rocca F (2001) Permanent scatterers in SAR interferometry. IEEE Trans Geosci Remote Sens 39:8–20CrossRefGoogle Scholar
  11. Gigli G, Fanti R, Canuti P, Casagli N (2011) Integration of advanced monitoring and numerical modeling techniques for the complete risk scenario analysis of rockslides: the case of Mt. Beni (Florence, Italy). Eng Geol 120:48–59CrossRefGoogle Scholar
  12. Hooper A, Zebker H, Segall P, Kampes B (2004) A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophys Res Lett 31:L23611CrossRefGoogle Scholar
  13. Hooper A, Segall P, Zebker H (2007) Persistent scatterer InSAR for crustal deformation analysis, with application to Volcan Alcedo, Galapagos. J Geophys Res 112:B07407CrossRefGoogle Scholar
  14. Lanari R, Mora O, Manunta M, Mallorqui JJ, Berardino P, Sansosti E (2004) A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. IEEE Trans Geosci Remote Sens 42:1377–1386CrossRefGoogle Scholar
  15. Lu P, Casagli N, Catani F, Tofani V (2012) Persistent scatterers interferometry hotspot and cluster analysis (PSI-HCA) for detection of extremely slow-moving landslides. Int J Remote Sens 33(2):466–489CrossRefGoogle Scholar
  16. Massonnet D, Feigl KL (1998) Radar interferometry and its application to changes in the earth’s surface. Rev Geophys 36:441–500CrossRefGoogle Scholar
  17. Mora O, Mallorqui JJ, Broquetas A (2003) Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Trans Geosci Remote Sens 41:2243–2253CrossRefGoogle Scholar
  18. Novali F, Ferretti A, Fumagalli A, Rocca F, Prati C, Rucci A (2009) The second generation PSInSAR approach: SqueeSAR. In Proceedings of FRINGE 2009, 30 November–4 December 2009, Frascati, Italy (European Space Agency), CD-ROMGoogle Scholar
  19. Rosen PA, Hensley S, Joughin IR, Li FK, Madsen SN, Rodriguez E, Goldstein RM (2000) Synthetic aperture radar interferometry. Proceedings of the IEEE, 88, pp 333–382Google Scholar
  20. Rott H, Scheuchl B, Siegel A, Grasemann B (1999) Monitoring very slow slope movements by means of SAR interferometry: a case study from a mass waste above a reservoir in the Ötztal Alps, Austria. Geophys Res Lett 26:1629–1632CrossRefGoogle Scholar
  21. Strozzi T, Wegmuller U, Keusen HR, Graf K, Wiesmann A (2006) Analysis of the terrain displacement along a funicular by SAR interferometry. IEEE Geosci Remote Sens Lett 3:15–18CrossRefGoogle Scholar
  22. Tarchi D, Casagli N, Moretti S, Leva D, Sieber AJ (2003) Monitoring landslide displacements by using ground-based radar interferometry: application to the Ruinon landslide in the Italian Alps. J Geophys Res 108(B8-2387):101–114Google Scholar
  23. Xia Y, Kaufmann H, Guo XF (2004) Landslide monitoring in the three Gorges area using D-InSAR and corner reflectors. Photogram Eng Remote Sens 70:1167–1172Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Earth SciencesUniversity of FlorenceFlorenceItaly

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