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TitleMultidimensional time-series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province
 
AuthorSamsonov, SORCID logo; d'Oreye, N
SourceGeophysical Journal International vol. 191, no. 3, 2012 p. 1095-1108, https://doi.org/10.1111/j.1365-246X.2012.05669.x Open
Access logo Open Access
Image
Year2012
Alt SeriesEarth Sciences Sector, Contribution Series 20110351
PublisherOxford University Press (OUP)
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
AreaNorth Kivu; Congo, the Democratic Republic of the
Lat/Long WENS 29.0833 29.3333 -1.2500 -1.5000
Subjectsgeophysics; remote sensing; satellite geodesy; geodesy; satellite imagery; radar imagery; Virunga Volcanic Province; InSAR
Illustrationslocation maps; plots; graphs; tables
ProgramRemote Sensing Science, Methodology
Released2012 12 01
Abstract(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.
GEOSCAN ID289865

 
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