Tianjin suburbs PS-QPS analysis and validation with leveling data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2012, Pages 3915-3918

  Luo, Qingli ^a   Perissin, Daniele ^a   Dogan, Ozan ^a   Lin, Hui ^a   Wang, Wei ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b Tianjin Institute of Surveying and Mapping   (China)

Author keywords

Permanent Scatterers (PS); Quasi PS (QPS); Tianjin; validation

Indexed keywords

DATA SETS; LOW COSTS; PERMANENT SCATTERERS; POTENTIAL ABILITY; QUASI-PS (QPS); RADAR TARGET; SUBSIDENCE MONITORING; SUBSIDENCE VELOCITY; TERRASAR-X; TIANJIN; VALIDATION; WIDE AREA;

GEOLOGY; REMOTE SENSING;

SYNTHETIC APERTURE RADAR;

EID: 84873145179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6350556     Document Type: Conference Paper

References (17)

1. Raucoules, D., C. Colesanti, and C. Carnec, Use of SAR interferometry for detecting and assessing ground subsidence. Comptes Rendus Geoscience, 2007. 339(5): p. 289-302.
2. Rott, H., Advances in interferometric synthetic aperture radar (InSAR) in earth system science. Progress in Physical Geography, 2009. 33(6): p. 769-791.
3. Zebker, H.A. and J. Villasenor, Decorrelation in interferometric radar echoes. IEEE Transactions on Geoscience and Remote Sensing, 1992. 30(5): p. 950-959.
4. Zebker, H.A. and P. Rosen, Atmospheric artifacts in interferometric SAR surface deformation and topographic maps. J. Geophys. Res. Solid Earth, 1997. 102(4): p. 7547-7563.
5. Ferretti, A., C. Prati, and F. Rocca, Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 2000. 38(5): p. 2202-2212.
6. Ferretti, A., C. Prati, and F. Rocca, Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 2001. 39(1): p. 8-20.
7. Mallorquí, J.J., et al. Linear and non-linear long-term terrain deformation with DInSAR (CPT: Coherent Pixels Technique). 2003.
8. Mora, O., J.J. Mallorqui, and A. Broquetas, Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 2003. 41(10): p. 2243-2253.
9. Werner, C., et al. Interferometric point target analysis for deformation mapping. 2004. IEEE.
10. Kampes, B.M. and N. Adam. The STUN algorithm for persistent scatterer interferometry. in Fringe 2005 Workshop. 2006. earth.esa.int.
11. Hooper, A., et al., A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophysical Research Letters, 2004. 31(23).
12. Berardino, P., et al., A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 2002. 40(11): p. 2375-2383.
13. Ferretti, A., et al., Submillimeter accuracy of InSAR time series: Experimental validation. IEEE Transactions on Geoscience and Remote Sensing, 2007. 45(5): p. 1142-1153.
14. Perissin, D. and W. Teng, Repeat-Pass SAR Interferometry With Partially Coherent Targets. IEEE Transactions on Geoscience and Remote Sensing, 2012. 50(1): p. 271-280.
15. Perissin, D. and T. Wang, Time-Series InSAR Applications Over Urban Areas in China. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011. 4(1): p. 92-100.
16. Perissin, D., SARPROZ software manual. http://ihome.cuhk.edu.hk/~b122066/ manual/index.html.
17. Xie Dake, Wang Miao, and Xu Dong, Researching on subregional management of land subsidence in Tianjin. Modern Water, 2009. 4: p. 36-38.