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Abstract

Interforemetric Synthetic Aperture Radar (InSAR) has been developed to estimate the temporal change on the surface of Earth by combining multiple SAR images acquired over the same area at different times. In the last two decades, in addition to conventional InSAR, numerous multiple acquisition InSAR techniques have been introduced, including persistent scatterer (PS) and small baseline subset (SBAS). In this project, we used the SBAS method to detect the surface deformation over a hydrocarbon reservoir in Adiyaman Providence, Turkey. The SBAS technique is performed on combinations of SAR images that are characterized by small orbital distances with large time intervals. By applying singular value decomposition (SVD), the temporal sampling rate is increased and those subsets are connected. We applied the SBAS method to five ALOS-PALSAR fine-beam dual (FBD) mode images, and removed the topographic phase by using a 3 arc-sec SRTM digital elevation model (DEM). Our analysis has revealed that due to the effective mitigation measures taken by the Turkish Petroleum Corporation, the maximum observed satellite line of sight (LOS) displacement velocity in the oil field is 5 mm/yr with a likely uncertainty of a similar magnitude in the period of 2007-2010. The high uncertainty estimate is due to the other spatially correlated signals of similar and larger magnitude seen in regions outside of the oil field.

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/content/papers/10.3997/2214-4609-pdb.380.112
2013-05-15
2024-04-26
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.380.112
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