International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
is constructed based on Cartesian coordinates system of 
persistent scatters. As long as the geography scene is 
determined, the TDPDN is fixed. In another word, it will not 
vary with the geographic scene conversion from geography 
space to image space. The persistent scatter adjacency 
relationship derived by TDPDN is stable and consistent with 
that in geography space. The InSAR with TDPDN was 
effectively used to monitor the urban subsidence of Lujiazui in 
Shanghai. The comparison with Leveling and InSAR with 
persistent scatter planar network indicates that the accuracy 
and reliability of InSAR with TDPDN are significantly 
improved. 
REFERENCES 
Colesanti, C.,. Ferretti, À, Prati, C., Rocca, A. 2003. 
Monitoring landslides and tectonic motions with the Permanent 
Scatterers Technique. Engineering Geology, 68, pp. 3-14. 
Ferretti, A., Claudio, P., Rocca, A., 2000a. Nonlinear 
subsidence rate estimation using persistent scatters in 
differential SAR interferometry. [EEE Transactions on 
Geoscience and Remote sensing, 38(5), pp. 2202-2212. 
Ferretti, A., Claudio, P., Rocca, A., 2001b. Persistent scatters in 
SAR interferometry. IEEE Transactions on Geoscience and 
Remote sensing, 39(1), pp. 8-20. 
Gabriel, AK, Goldstein, R.M., Zebker, H.A., 1989. Mapping 
small elevation changes over large areas—differential radar 
interferometry. J. Geophys. Res, 94, pp. 9183-9191. 
Liu, G.X., Luo, X J., Chen, Q., Huang, D.F., Ding, X.L., 2008. 
Detecting land subsidence in Shanghai by PS-Networking SAR 
interferometry. sensors, 8, pp. 4725-4741. 
Liu, Y., Zhang, X.L., Wan, G.F., Han, QD., 1993. The 
situation of land subsidence within Shanghai in recent years 
and its countermeasure. Chin. J. Geol. Hazard Control, 9(2), pp. 
13-17. 
Liu, Y., 2000. Preventive measures for land subsidence in 
Shanghai and their effects. Volcanology & Mineral Resources , 
21 (2), pp. 107-111. 
Luo, X.J., Liu, G.X., Huang, D.F., Chen, Q., 2008a. Modelling 
with persistent-scatterer network and analysis of ground 
deformation and atmospheric influence. Journal of Remote 
Sensing, 12(2), pp. 270-276. 
Luo, XJ., 2007b. Theory of differential SAR interfoermetry 
based on permanent scatterers and applications to Shanghai's 
62 
subsidence detection. Southwest Jiaotong University, Chengdu, 
pp.106-157. 
Massonnet, D., Rossi, M., Carmona, C., 1993. The 
displacement field of the landers earthquake mapped by rader 
interferometry. Nature, 364, pp. 138-142. 
Yan, X.X., Gong, S.L., Zen, Z.Q., Yu, J.Y., Shen, G.P., Wang, 
T.J., 2002. Relationship between building density and land 
subsidence in Shanghai urban zone. Hydrogeology and 
Engineering Geology, 6, pp. 21-25. 
Ye, ST. Xue, Y.Q.; Zhang, Y.. Li, Q.F.. Wang, H.M., 2005. 
Study on the deformation characteristics of soil layers in 
regional land subsidence model of Shanghai. Chinese Journal 
of Geotechnical Engineering, 27(2), pp. 140-147. 
Zebker, H.A., Villaseno, J, 1992a. Decorrelation in 
interferometric radar echoes. /EEE Transactions on Geoscience 
and Remote Sensing, 30 (5), pp. 950-959. 
Zebker, H.A., Roser, P.A., Goldstein, R.M., 1994b. On the 
derivation of coseismic displacement fields using differential 
radar interferometry-the Landers earthquake. J .Geophys. Res, 
99, pp. 19617-19634. 
Zhang, W.R., 2002. Feature of Shanghai land subsidence and 
its damage to social-economic system. Journal of Tongji 
University (Natural Science), 30(9), pp. 1129-1134. 
Zhang, A.G., 2005. Sustainable development and land 
subsidence controlling management in shanghai. The Chinese 
Joural of Geological Hazard and Control, 16(1), pp. 1-4. 
Zhou, L.T., Huang D.F., Li, C.G., Xu, R., 2007. Algorithms for 
spherical delaunay triangulated irregular network update and its 
application in GPS network. Science of Surveying and 
Mapping, 2007, 32(6), pp. 77-78. 
ACKNOWLEDGEMENTS 
The work presented here was partially supported by 973 
Program(Project No. 2012CB719901), the National Natural 
Science Foundation of China (Project No. 41074005, 
41104020), the Fundamental Research Funds for the Central 
Universities (Project No. SWJTU09ZT01, SWJTU11ZT13, 
SWJTU12CX022) and the SRTP project (Project No.112130). 
The authors would like to thank them for providing finance and 
SAR data for this research.