Physics
Scientific paper
Jan 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006geoji.164...36c&link_type=abstract
Geophysical Journal International, Volume 164, Issue 14, pp. 36-45.
Physics
3
Scientific paper
We report an improved slip model for the 1997 September-October Umbria-Marche earthquake sequence in central Italy. The model is based on coseismic displacements estimated by differential synthetic aperture radar (DInSAR) interferometry using an advanced inverse modelling approach that enables the characteristics of the SAR data, especially their dense spatial sampling, to be fully exploited. The paper first looks at DInSAR analysis using the simplest configuration, that is, a single-image pair that temporally covers the earthquake sequence. Yet, given that this DInSAR configuration is often used for coseismic studies and the limited availability of SAR data, we duly consider the limitations of the DInSAR results and discuss the rigorous DInSAR procedure carried out, highlighting key errors associated with such observations. We then focus on the inversion of the estimated DInSAR displacements and on our advanced heterogeneous slip model for this earthquake sequence's main shocks, emphasizing its most significant features.
Biescas E.
Crippa Bruno
Crosetto Michele
de Natale Giuseppe
Pingue Folco
No associations
LandOfFree
FAST TRACK PAPER: An advanced slip model for the Umbria-Marche earthquake sequence: coseismic displacements observed by SAR interferometry and model inversion does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with FAST TRACK PAPER: An advanced slip model for the Umbria-Marche earthquake sequence: coseismic displacements observed by SAR interferometry and model inversion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and FAST TRACK PAPER: An advanced slip model for the Umbria-Marche earthquake sequence: coseismic displacements observed by SAR interferometry and model inversion will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1210378