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Multiscale InSAR Time Series (MInTS) analysis of surface deformation

Hetland, E. A. and Musé, P. and Simons, M. and Lin, Y. N. and Agram, P. S. and DiCaprio, C. J. (2012) Multiscale InSAR Time Series (MInTS) analysis of surface deformation. Journal of Geophysical Research B, 117 . Art. No. B02404. ISSN 0148-0227. doi:10.1029/2011JB008731.

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We present a new approach to extracting spatially and temporally continuous ground deformation fields from interferometric synthetic aperture radar (InSAR) data. We focus on unwrapped interferograms from a single viewing geometry, estimating ground deformation along the line-of-sight. Our approach is based on a wavelet decomposition in space and a general parametrization in time. We refer to this approach as MInTS (Multiscale InSAR Time Series). The wavelet decomposition efficiently deals with commonly seen spatial covariances in repeat-pass InSAR measurements, since the coefficients of the wavelets are essentially spatially uncorrelated. Our time-dependent parametrization is capable of capturing both recognized and unrecognized processes, and is not arbitrarily tied to the times of the SAR acquisitions. We estimate deformation in the wavelet-domain, using a cross-validated, regularized least squares inversion. We include a model-resolution-based regularization, in order to more heavily damp the model during periods of sparse SAR acquisitions, compared to during times of dense acquisitions. To illustrate the application of MInTS, we consider a catalog of 92 ERS and Envisat interferograms, spanning 16 years, in the Long Valley caldera, CA, region. MInTS analysis captures the ground deformation with high spatial density over the Long Valley region.

Item Type:Article
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Simons, M.0000-0003-1412-6395
Additional Information:© 2012 American Geophysical Union. Received 29 July 2011; revised 12 December 2011; accepted 14 December 2011; published 18 February 2012. We thank the editor, Tom Parsons, and two anonymous reviewers. This work was partially supported by NASA grant NNX09AD25G to M.S.
Group:Keck Institute for Space Studies, Division of Geological and Planetary Sciences
Funding AgencyGrant Number
Subject Keywords:InSAR; geodesy; time-dependent deformation
Record Number:CaltechAUTHORS:20120328-070721528
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Official Citation:Hetland, E. A., P. Musé, M. Simons, Y. N. Lin, P. S. Agram, and C. J. DiCaprio (2012), Multiscale InSAR Time Series (MInTS) analysis of surface deformation, J. Geophys. Res., 117, B02404, doi:10.1029/2011JB008731.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:29868
Deposited By: Ruth Sustaita
Deposited On:28 Mar 2012 14:51
Last Modified:09 Nov 2021 19:31

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