Browse > Article
http://dx.doi.org/10.7780/kjrs.2016.32.6.2

Deformation monitoring of Daejeon City using ALOS-1 PALSAR - Comparing the results by PSInSAR and SqueeSAR -  

Kim, Sang-Wan (Department of Energy and Mineral Resources Engineering, Sejong University)
Publication Information
Korean Journal of Remote Sensing / v.32, no.6, 2016 , pp. 567-577 More about this Journal
Abstract
SqueeSAR is a new technique to combine Persistent Scatterer (PS) and Distributed Scatterer (DS) for deformation monitoring. Although many PSs are available in urban areas, SqueeSAR analysis can be beneficial to increase the PS density in not only natural targets but also smooth surfaces in urban environment. The height of each targets is generally required to remove topographic phase in interferometric SAR processing. The result of PSInSAR analysis to use PS only is not affected by DEM resolution because the height error of initial input DEM at each PSs is precisely compensated in PS processing chain. On the contrary, SqueeSAR can be affected by DEM resolution and precision since it includes spatial average filtering for DS targets to increase a signal-to-noise ratio (SNR). In this study we observe the effect of DEM resolution on deformation measurement by PSInSAR and SqueeSAR. With ALOS-1 PALSAR L-band data, acquired over Daejeon city, Korea, two different DEM data are used in InSAR processing for comparison: 1 m LIDAR DEM and SRTM 1-arc (~30 m) DEM. As expected the results of PSInSAR analysis show almost same results independently of the kind of DEM, while the results of SqueeSAR analysis show the improvement in quality of the time-series in case of 1-m LIDAR DSM. The density of InSAR measurement points was also improved about five times more than the PSInSAR analysis.
Keywords
PSInSAR; SqueeSAR; ALOS-1; Deformation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 ASF News & Notes, 2015. 2013 Summer, Southwest Sinkholes, Alaska Satellite Facility.
2 Bonano, M. M. Manunta, A. Pepe, L. Paglia, and R. Lanari, 2013. From Previous C-Band to New XBand SAR Systems: Assessment of the DInSAR Mapping Improvement for Deformation Time-Series Retrieval in Urban Areas, IEEE Transactions on Geoscience and Remote Sensing, 51(4): 1973-1984.   DOI
3 Colesanti, C., A. Ferretti, C. Prati, and F. Rocca, 2003. Monitoring landslides and tectonic motions with the Permanent Scatterers Technique. Engineering Geology, 68(1-2): 3-14. http://doi:10.1016/S0013-7952(02)00195-3   DOI
4 Colesanti, C. and J. Wasowski, 2006. Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry. Engineering Geology, 88(3-4): 173-199. http://doi.org/10.1016/j.enggeo.2006.09.013   DOI
5 Ferretti, A., C. Prati, and F. Rocca, 2000. Nonlinear subsidence rate esti- mation using permanent scatterers in differential SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 38(5): 2202-2212.   DOI
6 Ferretti, A., C. Prati, and F. Rocca, 2001. Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39(1): 8-20.   DOI
7 Ferretti, A., A. Fumagalli, F. Novali, and C. Prati, 2011. A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR. IEEE Transactions on Geoscience and Remote Sensing, 49(9): 3460-3470. http://DOI:10.1080/19475683.2010. 492126   DOI
8 Fornaro, G., A. Pauciullo, D. Reale., and S, Verde, 2014. Multilook SAR Tomography for 3-D Reconstruction and Monitoring of Single Structures Applied to COSMO-SKYMED Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(7): 2776-2785.   DOI
9 Gernhardt, S., N. Adam, M. Eineder, and R. Bamler, 2010. Potential of very high resolution SAR for persistent scatterer interferometry in urban areas. Annals of GIS, 16(2): 103-111.   DOI
10 Jones, C. E. and R. G. Blom, 2014. Bayou Corne, Louisiana, sinkhole: Precursory deformation measured by radar interferometry. Geology, 42(2): 111-114. http://doi.org/10.1130/G34972.1   DOI
11 Nof, R. N., G. Baer, A. Ziv, E. Raz, S. Atzori, and S. Salvi, 2013. Sinkhole precursors along the Dead Sea, Israel, revealed by SAR interferometry. Geology, 41(9): 1019-1022. http://doi.org/10.1130/G34505.1   DOI
12 Reale D., G. Fornaro, A. Pauciullo, X. Zhu, and R. Bamler, 2011. Tomographic Imaging and Monitoring of Buildings With Very High Resolution SAR Data, IEEE Transactions on Geoscience and Remote Sensing Letter, 8(4) : 661-665.   DOI
13 Werner, C., U. Wegmuller, T. Strozzi, and A. Wiesmann, 2000. GAMMA SAR and interferometric processing software, Proc. of the ERS-Envisat symposium, gothenburg, Swenden, 1620.