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http://dx.doi.org/10.7780/kjrs.2008.24.2.165

Improvement of Small Baseline Subset (SBAS) Algorithm for Measuring Time-series Surface Deformations from Differential SAR Interferograms  

Jung, Hyung-Sup (Department of Earth System Sciences, Yonsei University)
Lee, Chang-Wook (Department of Earth System Sciences, Yonsei University)
Park, Jung-Won (Department of Earth System Sciences, Yonsei University)
Kim, Ki-Dong (Department of Earth System Sciences, Yonsei University)
Won, Joong-Sun (Department of Earth System Sciences, Yonsei University)
Publication Information
Korean Journal of Remote Sensing / v.24, no.2, 2008 , pp. 165-177 More about this Journal
Abstract
Small baseline subset (SBAS) algorithm has been recently developed using an appropriate combination of differential interferograms, which are characterized by a small baseline in order to minimize the spatial decorrelation. This algorithm uses the singular value decomposition (SVD) to measure the time-series surface deformation from the differential interferograms which are not temporally connected. And it mitigates the atmospheric effect in the time-series surface deformation by using spatially low-pass and temporally high-pass filter. Nevertheless, it is not easy to correct the phase unwrapping error of each interferogram and to mitigate the time-varying noise component of the surface deformation from this algorithm due to the assumption of the linear surface deformation in the beginning of the observation. In this paper, we present an improved SBAS technique to complement these problems. Our improved SBAS algorithm uses an iterative approach to minimize the phase unwrapping error of each differential interferogram. This algorithm also uses finite difference method to suppress the time-varying noise component of the surface deformation. We tested our improved SBAS algorithm and evaluated its performance using 26 images of ERS-1/2 data and 21 images of RADARSAT-1 fine beam (F5) data at each different locations. Maximum deformation amount of 40cm in the radar line of sight (LOS) was estimated from ERS-l/2 datasets during about 13 years, whereas 3 cm deformation was estimated from RADARSAT-1 ones during about two years.
Keywords
SAR; SBAS algorithm; time-series surface deformation; ERS-1/2; RADARSAT-1;
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1 Ferretti, A., C. Prati, and F. Rocca, 2000. Nonlinear subsidence rate estimation using permanent scateerers in differential SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, 38: 2202-2212.   DOI   ScienceOn
2 Kim, S.-W., C.-W. Lee, K.-Y. Song, K.-D. Min, J.-S. Won, 2005. Application of L-band differential SAR interferometry to subsidence rate estimation in reclaimed coastal land, International Journal of Remote Sensing, 26(7): 1363-1381.   DOI   ScienceOn
3 Massonnet, D., P. Briole, and A. Arnaud, 1995. Deflatation of Mount Etna monitored by spaceborne radar interferometry, Nature, 375: 567-570.   DOI   ScienceOn
4 Joughin, I., S. Tulaczyk, M. Fahnestock, and R. Kwok, 1996. A mini-surge on the Ryder Glacier, Greenland, observed via satellite radar interferometry, Science, 274: 228-230.   DOI   ScienceOn
5 Tizzani, P., P. Berardino, F. Casu, P. Euillades, M. Manzo, G. P. Ricciardi, G. Zeni, and R. Lanari, 2007. Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approach, Remote Sensing of Environment, 108: 227-289.
6 Lyons, S. and D. Sandwell, 2003. Fault creep along the southern San Andreas from interferometric synthetic aperture radar, permanent scatterers, and stacking, Journal of Geophysical Research, 108(B1): 2047.   DOI
7 Fialko, Y., D. Sandwell, M. Simons, and P. Rosen, 2005. Three dimensional deformation caused by the Bam, Iran, earthquake and the origin of the shallow hlip deficit, Nature, 435: 295- 299.   DOI   ScienceOn
8 Casu, F., M. Manzo, and R. Lanari, 2006. A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data, Remote Sensing of Environment, 102: 195-210.   DOI   ScienceOn
9 Lanari, R., F. Casu, M. Manzo, and P. Lundgren, 2007. Application of the SBAS-DInSAR technique to fault creep: A case study of the Hayward fault, California, Remote Sensing of Environment, 109: 20-28.   DOI   ScienceOn
10 Massonnet, D., M. Rossi, C. Carmona, F. Adragna, G. Peltzer, K. Fiegl, and T. Rabaute, 1993. The displacement field of the Landers earthquke mapped by radar interferometry, Nature, 364: 138-142.   DOI   ScienceOn
11 Berardino, P., G. Fornaro, R. Lanari, and E. Sansosti, 2002. A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms, IEEE Transactions on Geoscience and Remote Sensing, 40(11): 2375-2383.   DOI   ScienceOn
12 Menke, W., 1989, Geophysical data analysis: Discrete inverse theory, International geophysics series, Academic Press, Sandiego, CA, USA.
13 Jung, H.-C., S.-W. Kim, H.-S. Jung, K.-D. Min, and J.-S. Won, 2007. Satellite observation of coal mining subsidence by persistent scatterer analysis, Engineering Geology, 92: 1-13.   DOI   ScienceOn
14 Amelung, F. S. Jonnson, H. A. Zebker, and P. Segall, 2000, Widespread uplift and 'trapdoor' faulting on Galapagos observed with radar interferometry, Nature, 407: 993-996.   DOI   ScienceOn
15 Tizzani, P., P. Berardino, F. Casu, P. Euillades, M. Manzo, G. P. Ricciardi, G. Zeni, and R. Lanari, 2008. Ground deformation of Long Valley caldera and Mono Basin, eastern California, mapped by satellite radar interferometry, International Journal of Remote Sensing, 29(2): 439-441.   DOI   ScienceOn
16 Lee, C-W., Z. Lu, O-I, Kwoun, J-S. Won, 2008. Deformation of Augustine volcano, Alaska, 1992-2005, measured by ERS and ENVISAT SAR inteferometry, Earth Planets and Space, (in press).
17 Dixon, T. H., F. Amelung, A. Ferretti, F. Novali, F. Rocca, R. Dokka, G. Sella, S.-W. Kim, S. Wdowinski, and D. Whitman, 2006. Subsidence and flooding in New Orleans, Nature, 441: 587-588.   DOI   ScienceOn
18 Ferretti, A., C. Prati, and F. Rocca, 2001. Permanent Scatterers in SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, 39: 8-20.   DOI   ScienceOn
19 Amelung, F., D. L. Galloway, J. W. Bell, H. A. Zebker, and R. J. Laczniak, 1999. Sensing the ups and downs of Las Vegas; InSAR reveals structural control of land subsidence and aquifer-system deformation, Geology, 27(6): 483-486.   DOI   ScienceOn
20 Tarchia, D., N. Casaglib, R. Fantib, D. D. Levaa, G. Luzic, A. Pasutod, M. Pieraccinic, and S. Silvano, 2003. Landslide monitoring by using ground-based SAR interferometry: an example of application to the Tessina landslide in Italy, Engineering Geology, 68(1-2): 15-30.   DOI   ScienceOn