Geophysical Journal International, Dec, 2012, Vol.191, p.1095(14)
To purchase or authenticate to the full-text of this article, please visit this link: http://onlinelibrary.wiley.com/doi/10.1111/j.1365-246X.2012.05669.x/abstract Byline: Sergey Samsonov(1)(2), Nicolas d'Oreye(2)(3) Keywords: Time-series analysis; Numerical solutions; Inverse theory; Satellite geodesy; Radar interferometry; Africa SUMMARY A novel, multidimensional small baseline subset (MSBAS) methodology is presented for integration of multiple interferometric synthetic aperture radar (InSAR) data sets for computation of 2- or 3-D time-series of deformation. The proposed approach allows the combination of all possible air-borne and space-borne SAR data acquired with different acquisition parameters, temporal and spatial sampling and resolution, wave-band and polarization. The produced time-series have improved temporal resolution and can be enhanced by applying either regularization or temporal filtering to remove high-frequency noise. We apply this methodology to map 2003-2010 ground deformation of the Virunga Volcanic Province (VVP), North Kivu, Democratic Republic of Congo. The horizontal and vertical time-series of ground displacement clearly identify lava compaction areas, long-term deformation of Mt Nyamuragira and 2004, 2006 and 2010 pre- and coeruptive deformation. Providing that enough SAR data is available, the method opens new opportunities for detecting ground motion in the VVP and elsewhere. Author Affiliation: (1)Natural Resources Canada, 588 Booth Street, Ottawa, ON K1A0Y7, Canada. E-mail: email@example.com (2)European Center for Geodynamics and Seismology, Rue Josy Welter 19, L-7256 Walferdange, Grand-Duchy of Luxembourg (3)National Museum of Natural History, Department of Geophysics/Astrophysics, Rue Josy Welter 19, L-7256 Walferdange, Grand-Duchy of Luxembourg Accepted 2012 September 5. Received 2012 September 5; in original form 2012 April 20
Seismology -- Analysis ; Satellite Remote Sensing -- Analysis ; Synthetic Aperture Radar -- Analysis
Cengage Learning, Inc.