Increasing spatial coverage in rough terrain and vegetated areas using InSAR optimized pixel selection: application to Tohoku, Japan

References

• Bamler, R., and D. Just. 1993. “Phase Statistics and Decorrelation in SAR Interferograms.” Proceedings of IGARSS ‘93 - IEEE International Geoscience and Remote Sensing Symposium, Tokyo, Japan, 980–984. doi:10.1109/IGARSS.1993.322637.
   Google Scholar
• Blanco-Sánchez, P., J.J. Mallorquí, S. Duque, and D. Monells. 2008. “The Coherent Pixels Technique (CPT): An Advanced DInSAR Technique for Nonlinear Deformation Monitoring.” Pure and Applied Geophysics 165 (6): 1167–1193. doi:10.1007/s00024-008-0352-6.
   Web of Science ®Google Scholar
• Buckley, S.M., P.A. Rosen, S. Hensley, and B.D. Tapley. 2003. “Land Subsidence in Houston, Texas, Measured by Radar Interferometry and Constrained by Extensometers.” Journal of Geophysical Research 108 (B11): 2542. doi:10.1029/2002JB001848.
   Web of Science ®Google Scholar
• Costantini, M., and P.A. Rosen. 1999. “A Generalized Phase Unwrapping Approach for Sparse Data.” IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS’99 (Cat. No.99CH36293), Hamburg, Germany, 267–269. doi:10.1109/IGARSS.1999.773467.
   Google Scholar
• Crosetto, M., B. Crippa, and E. Biescas. 2005. “Early Detection and In-depth Analysis of Deformation Phenomena by Radar Interferometry.” Engineering Geology 79 (1): 81–91. doi:10.1016/j.enggeo.2004.10.016.
   Web of Science ®Google Scholar
• Davis, J.L., T.A. Herring, I.I. Shapiro, A.E.E. Rogers, and G. Elgered. 1985. “Geodesy by Radio Interferometry: Effects of Atmospheric Modeling Errors on Estimates of Baseline Length.” Radio Science 20 (6): 1593–1607. doi:10.1029/RS020i006p01593.
   Web of Science ®Google Scholar
• ElGharbawi, T., and M. Tamura. 2014a. “Measuring Deformations Using SAR Interferometry and GPS Observables with Geodetic Accuracy: Application to Tokyo, Japan.” ISPRS Journal of Photogrammetry and Remote Sensing 88 (1): 156–165. doi:10.1016/j.isprsjprs.2013.12.005.
   Google Scholar
• ElGharbawi, T., and M. Tamura. 2014b. “Surface Deformation Monitoring Using SAR Interferograms and GPS Observables: Application to Tokyo, Japan.” 2014 IEEE International Geoscience and Remote Sensing Symposium, Quebec City, QC, Canada, 990–993. doi:10.1109/IGARSS.2014.6946593.
   Google Scholar
• ElGharbawi, T., and M. Tamura. 2015. “Coseismic and Postseismic Deformation Estimation of the 2011 Tohoku Earthquake in Kanto Region, Japan, Using InSAR Time Series Analysis and GPS.” Remote Sensing of Environment 168: 374–387. doi:10.1016/j.rse.2015.07.016.
   Web of Science ®Google Scholar
• ElGharbawi, T., and M. Tamura. 2019. “Increasing Insar Coverage in Vegetated and Rough Terrain Using Temporal Stable Pixels.” 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2115–2118, doi: 10.1109/IGARSS.2019.8898627.
   Google Scholar
• Ferretti, A., A. Monti-Guarnieri, C. Prati, F. Rocca, and D. Massonet. 2007. “InSAR Principles: Guidelines for SAR Interferometry Processing and Interpretation“. ESATM, 19 . The Netherlands: ESA Publications.
   Google Scholar
• Ferretti, A., C. Prati, and F. Rocca. 2000. “Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry.” IEEE Transactions on Geoscience and Remote Sensing 38 (5): 2202–2212. doi:10.1109/36.868878.
   Web of Science ®Google Scholar
• 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:10.1109/36.898661.
   Web of Science ®Google Scholar
• Goldstein, R.M., and C.L. Werner. 1998. “Radar Interferogram Filtering for Geophysical Applications.” Geophysical Research Letters 25 (21): 4035–4038. doi:10.1029/1998GL900033.
   Web of Science ®Google Scholar
• Goldstein, R.M., H. Engelhardt, B. Kamb, and R.M. Frolich. 1993. “Satellite Radar Interferometry for Monitoring Ice Sheet Motion: Application to an Antarctic Ice Stream.” Science 262 (5139): 1525–1530. doi:10.1126/science.262.5139.1525.
   PubMed Web of Science ®Google Scholar
• Hagberg, J.O., L.M.H. Ulander, and J. Askne. 1995. “Repeat-pass SAR Interferometry over Forested Terrain.” IEEE Transactions on Geoscience and Remote Sensing 33 (2): 331–340. doi:10.1109/36.377933.
   Web of Science ®Google Scholar
• Hanssen, R.F. 2001. Radar Interferometry: Data Interpretation and Error Analysis. Amsterdam: Kluwer Academic Publishers.
   Google Scholar
• Hetland, E.A., P. Musé, M. Simons, Y.N. Lin, P.S. Agram, and C.J. DiCaprio. 2012. “Multiscale InSAR Time Series (Mints) Analysis of Surface Deformation.” Journal of Geophysical Research 117 (B2): B02404. doi:10.1029/2011JB008731.
   Google Scholar
• Hooper, A., P. Segall, and H. Zebker. 2007. “Persistent Scatterer Interferometric Synthetic Aperture Radar for Crustal Deformation Analysis, with Application to Volcán Alcedo, Galápagos.” Journal of Geophysical Research 112 (B7). doi:10.1029/2006JB004763.
   Web of Science ®Google Scholar
• Hopfield, H.S. 1969. “Two-quartic Tropospheric Refractivity Profile for Correcting Satellite Data.” Journal of Geophysical Research 74 (18): 4487–4499. doi:10.1029/JC074i018p04487.
   Web of Science ®Google Scholar
• Huber, P.J. 1987. “The Place of the L1-norm in Robust Estimation.” Computational Statistics & Data Analysis 5 (4): 255–262. doi:10.1016/0167-9473(87)90049-1.
   Web of Science ®Google Scholar
• Imakiire, T., and T. Kobayashi. 2011. “The Crustal Deformation and Fault Model of the 2011 off the Pacific Coast of Tohoku Earthquake.” Bulletin of the Geospatial Information Authority of Japan 59: 21–30.
   Google Scholar
• Lauknes, T.R., H.A. Zebker, and Y. Larsen. 2011. “InSAR Deformation Time Series Using an L1-Norm Small-Baseline Approach.” IEEE Transactions on Geoscience and Remote Sensing 49 (1): 536–546. doi:10.1109/TGRS.2010.2051951.
   Web of Science ®Google Scholar
• Liu, G., S.M. Buckley, X. Ding, Q. Chen, and X. Luo. 2009. “Estimating Spatiotemporal Ground Deformation With Improved Persistent-Scatterer Radar Interferometry.” IEEE Transactions on Geoscience and Remote Sensing 47 (9): 3209–3219. doi:10.1109/TGRS.2009.2028797.
   Web of Science ®Google Scholar
• López-Quiroz, P., M.-P. Doin, F. Tupin, P. Briole, and J.-M. Nicolas. 2009. “Time Series Analysis of Mexico City Subsidence Constrained by Radar Interferometry.” Journal of Applied Geophysics 69 (1): 1–15. doi:10.1016/j.jappgeo.2009.02.006.
   Web of Science ®Google Scholar
• Massonnet, D., K. Feigl, M. Rossi, and F. Adragna. 1994. “Radar Interferometric Mapping of Deformation in the Year after the Landers Earthquake.” Nature 369 (6477): 227–230. doi:10.1038/369227a0.
   Web of Science ®Google Scholar
• Meyer, F., R. Bamler, N. Jakowski, and T. Fritz. 2006. “The Potential of Low-Frequency SAR Systems for Mapping Ionospheric TEC Distributions.” IEEE Geoscience and Remote Sensing Letters 3 (4): 560–564. doi:10.1109/LGRS.2006.882148.
   Web of Science ®Google Scholar
• Mora, O., J.J. Mallorqui, and A. Broquetas. 2003. “Linear and Nonlinear Terrain Deformation Maps from a Reduced Set of Interferometric SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 41 (10): 2243–2253. doi:10.1109/TGRS.2003.814657.
   Web of Science ®Google Scholar
• Ohzono, M., Y. Yabe, T. Iinuma, Y. Ohta, S. Miura, K. Tachibana, T. Sato, and T. Demachi. 2012. “Strain Anomalies Induced by the 2011 Tohoku Earthquake (Mw 9.0) As Observed by a Dense GPS Network in Northeastern Japan.” Earth, Planets and Space 64 (12): 1231–1238. doi:10.5047/eps.2012.05.015.
   Web of Science ®Google Scholar
• Onn, F., and H.A. Zebker. 2006. “Correction for Interferometric Synthetic Aperture Radar Atmospheric Phase Artifacts Using Time Series of Zenith Wet Delay Observations from a GPS Network.” Journal of Geophysical Research 111 (B9): B09102. doi:10.1029/2005JB004012.
   Web of Science ®Google Scholar
• Paige, C.C., and M.A. Saunders. 1982. “LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares.” ACM Transactions on Mathematical Software 8 (1): 43–71. doi:10.1145/355984.355989.
   Web of Science ®Google Scholar
• Rodriguez, E., and J.M. Martin. 1992. “Theory and Design of Interferometric Synthetic Aperture Radars.” IEE Proceedings F Radar and Signal Processing 139 (2): 147–159. doi:10.1049/ip-f-2.1992.0018.
   Google Scholar
• Saastamoinen, J. 1972. “Contributions to the Theory of Atmospheric Refraction.” Journal of Geodesy 105 (1): 279–298. doi:10.1007/BF02521844.
   Google Scholar
• Schlossmacher, E.J. 1973. “An Iterative Technique for Absolute Deviations Curve Fitting.” Journal of the American Statistical Association 68 (344): 857–859. doi:10.2307/2284512.
   Web of Science ®Google Scholar
• Sun, T., K. Wang, T. Iinuma, R. Hino, J. He, H. Fujimoto, M. Kido, et al. 2014. “Prevalence of Viscoelastic Relaxation after the 2011 Tohoku-oki Earthquake.” Nature 514 (7520): 84–87. doi:10.1038/nature13778.
   PubMed Web of Science ®Google Scholar
• Zhang, L., X. Ding, and Z. Lu. 2011. “Modeling PSInSAR Time Series without Phase Unwrapping.” IEEE Transactions on Geoscience and Remote Sensing 49 (1): 547–556. doi:10.1109/TGRS.2010.2052625.
   Web of Science ®Google Scholar
• Zhang, L., X. Ding, Z. Lu, H.-S. Jung, J. Hu, and G. Feng. 2014. “A Novel Multitemporal InSAR Model for Joint Estimation of Deformation Rates and Orbital Errors.” IEEE Transactions on Geoscience and Remote Sensing 52 (6): 3529–3540. doi:10.1109/TGRS.2013.2273374.
   Web of Science ®Google Scholar
• Zhang, L., Z. Lu, X. Ding, H.-S. Jung, G. Feng, and C.-W. Lee. 2012. “Mapping Ground Surface Deformation Using Temporarily Coherent Point SAR Interferometry: Application to Los Angeles Basin.” Remote Sensing of Environment 117: 429–439. doi:10.1016/j.rse.2011.10.020.
   Web of Science ®Google Scholar