Title | 3D displacement field retrieved by integrating Sentinel-1 InSAR and GPS data: the 2014 South Napa earthquake |
Author | Polcari, M; Palano, M; Fernandez, J; Samsonov, S V; Stramondo, S; Zerbini, S |
Source | European Journal of Remote Sensing vol. 49, issue 1, 2016 p. 1-13, https://doi.org/10.5721/EuJRS20164901 (Open Access) |
Year | 2016 |
Alt Series | Natural Resources Canada, Contribution Series 20170207 |
Publisher | Informa UK Limited |
Document | serial |
Lang. | English |
Media | paper; on-line; digital |
File format | pdf |
Area | Napa valley; California; United States |
Lat/Long WENS | -123.0000 -122.0000 38.5000 37.0000 |
Subjects | earthquakes; remote sensing; radar imagery; modelling; deformation; Sentinel-1; interferometry |
Illustrations | formulae; location maps; satellite images; graphs; plots |
Released | 2017 02 17 |
Abstract | In this study the integration of Sentinel-1 InSAR (Interferometric Synthetic Aperture Radar) and GPS (Global Positioning System) data was performed to estimate the three components of the ground
deformation field due to the Mw 6.0 earthquake occurred on August 24th, 2014, in the Napa Valley, California, USA. The SAR data were acquired by the Sentinel-1 satellite on August 7th and 31st respectively. In addition, the GPS observations acquired
during the whole month of August were analyzed. These data were obtained from the Bay Area Regional Deformation Network, the UNAVCO and the Crustal Dynamics Data Information System online archives. The data integration was realized by using a
Bayesian statistical approach searching for the optimal estimation of the three deformation components. The experimental results show large displacements caused by the earthquake characterized by a predominantly NW-SE strike-slip fault
mechanism. |
GEOSCAN ID | 305977 |
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