Skip to content

Latest commit

 

History

History
45 lines (23 loc) · 5.05 KB

references.md

File metadata and controls

45 lines (23 loc) · 5.05 KB
Raw

Revalent Scientific Papers

  • Berardino, P., G. Fornaro, R. Lanari, and E. Sansosti (2002), A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, Geoscience and Remote Sensing, IEEE Transactions on, 40(11), 2375-2383, doi:10.1109/TGRS.2002.803792.

  • Chaussard, E., F. Amelung, and Y. Aoki (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.

  • Chaussard, E., R. Bürgmann, H. Fattahi, R. M. Nadeau, T. Taira, C. W. Johnson, and I. Johanson (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.

  • Chen, C. W., and H. A. Zebker (2001), Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization, JOSA A, 18(2), 338-351, doi:10.1364/JOSAA.18.000338.

  • Doin, M. P., C. Lasserre, G. Peltzer, O. Cavalié, and C. Doubre (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.

  • Fattahi, H., and F. Amelung (2013), DEM Error Correction in InSAR Time Series, Geoscience and Remote Sensing, IEEE Transactions on, 51(7), 4249-4259, doi:10.1109/TGRS.2012.2227761.

  • Fattahi, H., and F. Amelung (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.

  • Fattahi, H., P. Agram, and M. Simons (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.

  • Jolivet, R., R. Grandin, C. Lasserre, M. P. Doin, and G. Peltzer (2011), Systematic InSAR tropospheric phase delay corrections from global meteorological reanalysis data, Geophysical Research Letters, 38(17), L17311, doi:10.1029/2011GL048757.

  • Jolivet, R., P. S. Agram, N. Y. Lin, M. Simons, M. P. Doin, G. Peltzer, and Z. Li (2014), Improving InSAR geodesy using global atmospheric models, Journal of Geophysical Research: Solid Earth, 119(3), 2324-2341, doi:10.1002/2013JB010588.

  • Marinkovic, P., and Y. Larsen (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, U. K.

  • Morales Rivera, A. M., F. Amelung, and P. Mothes (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.

  • Pepe, A., and R. Lanari (2006), On the extension of the minimum cost flow algorithm for phase unwrapping of multitemporal differential SAR interferograms, Geoscience and Remote Sensing, IEEE Transactions on, 44(9), 2374-2383, doi:10.1109/TGRS.2006.873207.

  • Perissin, D., and T. Wang (2012), Repeat-pass SAR interferometry with partially coherent targets, Geoscience and Remote Sensing, IEEE Transactions on, 50(1), 271-280, doi:10.1109/tgrs.2011.2160644.

  • Rosen, P. A., S. Hensley, G. Peltzer, and M. Simons (2004), Updated repeat orbit interferometry package released, Eos Trans. AGU, 85(5), 47-47, doi:10.1029/2004EO050004.

  • Rosen, P. A., E. Gurrola, G. F. Sacco, and H. Zebker (2012), The InSAR scientific computing environment, paper presented at EUSAR 2012, 23-26 April 2012.

  • Tough, R. J. A., D. Blacknell, and S. Quegan (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.

  • Werner, C., U. Wegmüller, T. Strozzi, and A. Wiesmann (2000), Gamma SAR and interferometric processing software, paper presented at Proceedings of the ERS-Envisat symposium, Gothenburg, Sweden.

  • Yu, C., Z. Li, and N. T. Penna (2018), Interferometric synthetic aperture radar atmospheric correction using a GPS-based iterative tropospheric decomposition model, Remote Sensing of Environment, 204, 109-121, doi:10.1016/j.rse.2017.10.038.

  • Yu, C., Z. Li, N. T. Penna, and P. Crippa (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.

  • Yunjun, Z., H. Fattahi, and F. Amelung (2019), Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction, Computers & Geosciences, 133, 104331, doi:10.1016/j.cageo.2019.104331.

  • Zebker, H. A., P. A. Rosen, and S. Hensley (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.