Revalent Literature
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Berardino, P., Fornaro, G., Lanari, R., & Sansosti, E. (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:10.1109/TGRS.2002.803792
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Blewitt, G., Hammond, W., & Kreemer, C. (2018). Harnessing the GPS data explosion for interdisciplinary science. Eos, 99. doi:10.1029/2018EO104623
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Chaussard, E., Amelung, F., & Aoki, Y. (2013). Characterization of open and closed volcanic systems in Indonesia and Mexico using InSAR time series. Journal of Geophysical Research: Solid Earth, 118(8), 3957-3969. doi:10.1002/jgrb.50288
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Chaussard, E., Bürgmann, R., Fattahi, H., Nadeau, R. M., Taira, T., Johnson, C. W., & Johanson, I. (2015). Potential for larger earthquakes in the East San Francisco Bay Area due to the direct connection between the Hayward and Calaveras Faults. Geophysical Research Letters, 42(8), 2734-2741. doi:10.1002/2015GL063575
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Chen, C. W., & Zebker, H. A. (2001). Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization. Journal of the Optical Society of America A, 18(2), 338-351. doi:10.1364/JOSAA.18.000338
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Doin, M. P., Lasserre, C., Peltzer, G., Cavalié, O., & Doubre, C. (2009). Corrections of stratified tropospheric delays in SAR interferometry: Validation with global atmospheric models. Journal of Applied Geophysics, 69(1), 35-50. doi:10.1016/j.jappgeo.2009.03.010
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Efron, B., & Tibshirani, R. (1986). Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical science, 54-75. doi:10.1214/ss/1177013815
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Fattahi, H., & Amelung, F. (2013). DEM Error Correction in InSAR Time Series. IEEE Transactions on Geoscience and Remote Sensing, 51(7), 4249-4259. doi:10.1109/TGRS.2012.2227761
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Fattahi, H., & Amelung, F. (2015). InSAR bias and uncertainty due to the systematic and stochastic tropospheric delay. Journal of Geophysical Research: Solid Earth, 120(12), 8758-8773. doi:10.1002/2015JB012419
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Fattahi, H., Agram, P., & Simons, M. (2016). A Network-Based Enhanced Spectral Diversity Approach for TOPS Time-Series Analysis. IEEE Transactions on Geoscience and Remote Sensing, 55(2), 777-786. doi:10.1109/TGRS.2016.2614925
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Fattahi, H., Simons, M., & Agram, P. (2017). InSAR Time-Series Estimation of the Ionospheric Phase Delay: An Extension of the Split Range-Spectrum Technique. IEEE Transactions on Geoscience and Remote Sensing, 55(10), 5984-5996. doi:10.1109/TGRS.2017.2718566
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Gomba, G., Parizzi, A., Zan, F. D., Eineder, M., & Bamler, R. (2016). Toward Operational Compensation of Ionospheric Effects in SAR Interferograms: The Split-Spectrum Method. IEEE Transactions on Geoscience and Remote Sensing, 54(3), 1446-1461. doi:10.1109/TGRS.2015.2481079
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Heflin, M., Donnellan, A., Parker, J., Lyzenga, G., Moore, A., Ludwig, L. G., et al. (2020). Automated Estimation and Tools to Extract Positions, Velocities, Breaks, and Seasonal Terms From Daily GNSS Measurements: Illuminating Nonlinear Salton Trough Deformation. Earth and Space Scien10.1029/2011JB008731ce, 7(7), e2019EA000644, doi:10.1029/2019EA000644
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Hetland, E., Musé, P., Simons, M., Lin, Y., Agram, P., & DiCaprio, C. (2012). Multiscale InSAR time series (MInTS) analysis of surface deformation. Journal of Geophysical Research: Solid Earth, 117(B2). doi:10.1029/2011JB008731
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Jolivet, R., Grandin, R., Lasserre, C., Doin, M. P., & Peltzer, G. (2011). Systematic InSAR tropospheric phase delay corrections from global meteorological reanalysis data. Geophysical Research Letters, 38(17), L17311. doi:10.1029/2011GL048757
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Jolivet, R., Agram, P. S., Lin, N. Y., Simons, M., Doin, M. P., Peltzer, G., & Li, Z. (2014). Improving InSAR geodesy using global atmospheric models. Journal of Geophysical Research: Solid Earth, 119(3), 2324-2341. doi:10.1002/2013JB010588
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Kang, Y., Lu, Z., Zhao, C., Xu, Y., Kim, J.-w., & Gallegos, A. J. (2021). InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California. Remote Sensing of Environment, 258, 112400. doi:10.1016/j.rse.2021.112400
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Liang, C., Liu, Z., Fielding, E. J., & Bürgmann, R. (2018). InSAR Time Series Analysis of L-Band Wide-Swath SAR Data Acquired by ALOS-2. IEEE Transactions on Geoscience and Remote Sensing, 56(8), 4492-4506. doi:10.1109/TGRS.2018.2821150
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Liang, C., Agram, P., Simons, M., & Fielding, E. J. (2019). Ionospheric Correction of InSAR Time Series Analysis of C-band Sentinel-1 TOPS Data. IEEE Transactions on Geoscience and Remote Sensing, 59(9), 6755 - 6773. doi:10.1109/TGRS.2019.2908494
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Marinkovic, P., & Larsen, Y. (2013). Consequences of long-term ASAR local oscillator frequency decay - An empirical study of 10 years of data. Paper presented at Proceedings of the Living Planet Symposium (abstract), European Space Agency, Edinburgh, UK.
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Milbert, D. (2018), “solid: Solid Earth Tide”, [Online]. Available: http://geodesyworld.github.io/SOFTS/solid.htm. Accessd on: 2020-09-06.
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Morales Rivera, A. M., Amelung, F., & Mothes, P. (2016). Volcano Deformation Survey over the Northern and Central Andes with ALOS InSAR Time Series. Geochemistry, Geophysics, Geosystems, 17, 2869-2883. doi:10.1002/2016GC006393
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Pepe, A., & Lanari, R. (2006). On the extension of the minimum cost flow algorithm for phase unwrapping of multitemporal differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 44(9), 2374-2383. doi:10.1109/TGRS.2006.873207
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Perissin, D., & Wang, T. (2012). Repeat-pass SAR interferometry with partially coherent targets. IEEE Transactions on Geoscience and Remote Sensing, 50(1), 271-280. doi:10.1109/tgrs.2011.2160644
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Rosen, P. A., Hensley, S., Peltzer, G., & Simons, M. (2004). Updated repeat orbit interferometry package released. Eos Trans. AGU, 85(5), 47-47. doi:10.1029/2004EO050004
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Rosen, P. A., Gurrola, E., Sacco, G. F. & Zebker, H. (2012). The InSAR scientific computing environment. Paper presented at EUSAR 2012, Nuremberg, Germany.
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Seymour, M. S., & Cumming, I. G. (1994). Maximum likelihood estimation for SAR interferometry. Paper presented at the Proceedings of IGARSS ‘94 - 1994 IEEE International Geoscience and Remote Sensing Symposium. doi:10.1109/IGARSS.1994.399711
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Tough, R. J. A., Blacknell, D., & Quegan, S. (1995). A Statistical Description of Polarimetric and Interferometric Synthetic Aperture Radar Data. Proceedings: Mathematical and Physical Sciences, 449(1937), 567-589. doi:10.1098/rspa.1995.0059
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Werner, C., Wegmüller, U., Strozzi, T., & Wiesmann, A. (2000). Gamma SAR and interferometric processing software. Paper presented at the Proceedings of the ERS-Envisat symposium, Gothenburg, Sweden.
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Yu, C., Li, Z., Penna, N. T., & Crippa, P. (2018). Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations. Journal of Geophysical Research: Solid Earth, 123(10), 9202-9222. doi:10.1029/2017JB015305
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Yunjun, Z., Fattahi, H., & Amelung, F. (2019). Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction. Computers & Geosciences, 133, 104331. doi:10.1016/j.cageo.2019.104331
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Yunjun, Z., Fattahi, H., Pi, X., Rosen, P., Simons, M., Agram, P., & Aoki, Y. (2022). Range Geolocation Accuracy of C-/L-Band SAR and its Implications for Operational Stack Coregistration. IEEE Transactions on Geoscience and Remote Sensing, 60, 5227219. doi:10.1109/TGRS.2022.3168509
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Zebker, H. A., Rosen, P. A., & Hensley, S. (1997). Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps. Journal of Geophysical Research: Solid Earth, 102(B4), 7547-7563. doi:10.1029/96JB03804