Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/6882
AuthorsChini, Marco* 
Bignami, Christian* 
Emery, William J.* 
Pierdicca, Nazzareno* 
Stramondo, Salvatore* 
TitleQUICKBIRD PANCHROMATIC IMAGES FOR MAPPING DAMAGES AT BUILDING SCALE CAUSED BY THE 2003 BAM EARTHQUAKE
Issue Date6-Jul-2008
URIhttp://hdl.handle.net/2122/6882
Keywordsvery high hesolution
classification
damage detection
earthquake
Subject Classification04. Solid Earth::04.06. Seismology::04.06.10. Instruments and techniques 
AbstractRemote sensing sensors for detecting urban damage and other surface changes due to earthquakes is gaining increasing interest. To this aim optical images can represent useful tools for this application thanks their very high ground geometric resolution, especially when more frequent revisit times will be feasible with the implementation of new missions and future possible constellations of satellites. Sub-meter resolution images at visible frequencies are able to provide information at the scale of a single building. This kind of information is extremely important if provided with sufficient timeliness to rescue teams. In this work, the earthquake that hit the ancient city of Bam, Iran, on December 26th, 2003 has been investigated. The urban area was very close to the epicenter of the seism which caused strong damage to the urban structures. Pre- and post-earthquake Quickbird panchromatic images have been used to show the capability of this data to map damage at building scale by means of segmentation approach based on the application of morphological operators. A validation process has been performed by comparing the map of damage levels at single building scale with a detailed ground-based damage map provided by in situ survey.
Appears in Collections:Conference materials

Files in This Item:
File Description SizeFormat 
Proceeding_IGARSS_Bam.pdf1.48 MBAdobe PDFView/Open
Show full item record

Page view(s)

58
Last Week
0
Last month
1
checked on Aug 23, 2017

Download(s)

18
checked on Aug 23, 2017

Google ScholarTM

Check