DocumentCode :
3324762
Title :
PS-InSAR time series analysis for measuring surface deformation before the L´Aquila earthquake
Author :
Liu, Bin ; Luo, Yi ; Zhang, Jingfa ; Gong, Lixia ; Jiang, Wenliang ; Ren, Liyan
Author_Institution :
Inst. of Eng. Mech., China Earthquake Adm., Harbin, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4604
Lastpage :
4607
Abstract :
L´Aquila area has a high topography and complex geological structures, and is covered with thick vegetation and snow in areas of high topography. To monitor the characteristics of crustal deformation in this region before the 2009 L´Aquila earthquake, we apply StaMPS software to analyse 20 descending ASAR images acquired between September 2003 and March 2007 and 39 ascending ASAR images acquired between February 2003 and March 2009. In this paper, two mean LOS deformation velocity maps are acquired for this area, which reveal the same deformation pattern. Several deformation gradient in this area can be clearly identified, furthermore, we discover that most faults in this region may strike approximately NW-SE and dip <; 90° to SW. We also draw the conclusion that descending SAR images are superior to ascending ones in monitoring crustal deformation with InSAR in this region.
Keywords :
Earth crust; earthquakes; faulting; geomorphology; geophysical image processing; geophysics computing; radar interferometry; seismology; snow; synthetic aperture radar; time series; topography (Earth); vegetation; AD 2003 02; AD 2003 09; AD 2007 03; AD 2009; AD 2009 03; ASAR images; Italy; L´Aquila area; LAquila earthquake; LOS deformation velocity maps; PS-InSAR time series analysis; StaMPS software; complex geological structures; crustal deformation; deformation gradient; deformation pattern; faults; snow; surface deformation; topography; vegetation; Earthquakes; Geophysical measurements; Monitoring; Satellites; Spaceborne radar; Surfaces; InSAR; L´Aquila earthquake; PS-InSAR; deformation; fault;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5650971
Filename :
5650971
Link To Document :
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