Table of Contents
International Journal of Navigation and Observation
Volume 2008, Article ID 762378, 8 pages
http://dx.doi.org/10.1155/2008/762378
Research Article

Damage Detection from SAR Imagery: Application to the 2003 Algeria and 2007 Peru Earthquakes

1Department of Electronics, University of Pavia, via Ferrata 1, 27100 Pavia, Italy
2EO Science and Applications Department D/EOP-SEP, SERCO, c/o ESA/ESRIN, Via Galileo Galilei, Casella Postale 64, 00044 Frascati, Rome, Italy

Received 25 January 2008; Accepted 4 June 2008

Academic Editor: Simon Watts

Copyright © 2008 Giovanna Trianni and Paolo Gamba. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. Allenbach, R. Andreoli, S. Battiston et al., “Rapid EO disaster mapping service: added value, feedback and perspectives after 4 years of charter actions,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05), vol. 6, pp. 4373–4378, Seoul, Korea, July 2005. View at Publisher · View at Google Scholar
  2. M. Matsuoka and F. Yamazaki, “Building damage mapping of the 2003 Bam, Iran, earthquake using Envisat/ASAR intensity imagery,” Earthquake Spectra, vol. 21, supplement 1, pp. S285–S294, 2005. View at Publisher · View at Google Scholar
  3. C. Yonezawa and S. Takeuchi, “Decorrelation of SAR data by urban damages caused by the 1995 Hyogoken-nanbu earthquake,” International Journal of Remote Sensing, vol. 22, no. 8, pp. 1585–1600, 2001. View at Publisher · View at Google Scholar
  4. S. Stramondo, M. Moro, C. Tolomei, F. R. Cinti, and F. Doumaz, “InSAR surface displacement field and fault modelling for the 2003 Bam earthquake (southeastern Iran),” Journal of Geodynamics, vol. 40, no. 2-3, pp. 347–353, 2005. View at Publisher · View at Google Scholar
  5. P. Gamba, F. Dell'Acqua, and G. Trianni, “Rapid damage detection in the Bam area using multitemporal SAR and exploiting ancillary data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 6, pp. 1582–1589, 2007. View at Publisher · View at Google Scholar
  6. P. Gamba, F. Dell'Acqua, G. Trianni, and M. Stasolla, “GIS and remote sensing for disaster assessment in urban areas,” in Proceedings of the Urban Remote Sensing Joint Event, pp. 1–5, Paris, France, April 2007. View at Publisher · View at Google Scholar
  7. P. Gamba and F. Dell'Acqua, “Increased accuracy multiband urban classification using a neuro-fuzzy classifier,” International Journal of Remote Sensing, vol. 24, no. 4, pp. 827–834, 2003. View at Publisher · View at Google Scholar
  8. G. Trianni and P. Gamba, “A novel Markov random field model for multisource data fusion in urban areas,” in Proceedings of 28th General Assembly of International Union of Radio Science, New Delhi, India, October 2005.
  9. A. R. Zambrano, G. C. Henriquez, and K. Gonzales, “Contribucion de la teledeccion y los sistemas de informacion geografica en la evaluacio de los danos producidos en la ciuddad de Pisco por el terremoto del 15 de agosto del 2007,” (in Spanish), Direccion de Sismologia, Instituto Geofisico del Peru, vol. especial, preprint.