Observations concerning the magnitude and distribution of building damage after a destructive earthquake are of primary importance for post-event emergency response, and later on, for understanding the effects of shaking on buildings and other key infrastructure. These concerns are significantly heightened during the first few days and hours after the event. After the Bam earthquake that struck Iran on December 26th, 2003, very high-resolution (VHR) satellite imagery (Quick Bird and Ikonos) proved to be a valuable source of spatial information on the earthquake. VHR imagery are processed using object-oriented procedures, with the specific objective of describing objects of interest and finally counting the number of collapsed buildings in Bam. This talk reflects research that has been ongoing for the past year, some of which was conducted at the University of Bologna, and some performed while visiting the U.S. This presentation will cover the following topics:
Luca Gusella is PhD candidate in Geodetic and Topographic Sciences at the University of Bologna, Italy. He graduated with a degree in Environmental Engineering in 2001 and his thesis was titled Optical and Lidar Data Integration. He Started working for DISTART (Civil Engineering) department at the Engineering Faculty. His research topics include: photogrammetry, image understanding and classification, and GPS surveying. Since 2003, he has been working on earthquake damage assessment techniques with the seismologic survey group at INGV (National Institute of Geophysics and Volcanoes). Thanks to a grant from the University of Bologna, he is currently in the U.S. (hosted by MCEER) performing collaborative research at ImageCat in Long Beach, California.
Friday, November 12th, 2004
3:00 - 4:00 PM EST
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Seminar sponsored by MCEER Networking and Education Programs, MCEER SLC and hosted by the Department of Civil, Structural and Environmental Engineering and the EERI Student Chapter at UB.
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