Tight integration of GPS observations and persistent scatterer InSAR for detecting vertical ground motion in Hong Kong

A method for tightly integrating GPS observations and the persistent scatterer (PS) interferometric synthetic aperture radar (InSAR) is proposed to detect vertical ground motion in Hong Kong, China. The tropospheric zenith wet delays (ZWD) derived from GPS observations at sites in the SAR scenes are used first to model and correct for the tropospheric effects in the interferograms generated from the SAR images. The vertical motion rates (VMR) of the GPS sites determined based on the continuous GPS observations obtained at the sites are then used as constraints in the PS InSAR solutions to further enhance the quality of the solutions. Data from 12 continuous tracking GPS sites in Hong Kong and 8 ENVISAT ASAR images acquired during 2006–2007 are used to demonstrate the application of the proposed method. The results from the example show that the method is capable of detecting accurately the vertical ground motion.

[1]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[2]  Zhilin Li,et al.  Ground Subsidence Monitoring in Hong Kong with Satellite SAR Interferometry , 2004 .

[3]  Mike Rees,et al.  5. Statistics for Spatial Data , 1993 .

[4]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[5]  Ramon F. Hanssen,et al.  Ambiguity resolution for permanent scatterer interferometry , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[6]  R. Hanssen,et al.  Radar Interferometry with Public Domain Tools , 2004 .

[7]  B. Tapley,et al.  Land subsidence in Houston, Texas, measured by radar interferometry and constrained by extensometers , 2003 .

[8]  H. Zebker,et al.  High-Resolution Water Vapor Mapping from Interferometric Radar Measurements. , 1999, Science.

[9]  Xiaoli Ding,et al.  Atmospheric Effects on InSAR Measurements and Their Mitigation , 2008, Sensors.

[10]  Howard A. Zebker,et al.  Decorrelation in interferometric radar echoes , 1992, IEEE Trans. Geosci. Remote. Sens..

[11]  Xiaoli Ding,et al.  Ground settlement of Chek Lap Kok Airport, Hong Kong, detected by satellite synthetic aperture radar interferometry , 2001 .

[12]  J. Muller,et al.  Interferometric synthetic aperture radar atmospheric correction: GPS topography‐dependent turbulence model , 2006 .

[13]  Xiaoli Ding,et al.  Modeling of atmospheric effects on InSAR measurements by incorporating terrain elevation information , 2006 .

[14]  C. Rizos,et al.  Tropospheric corrections to SAR interferometry from GPS observations , 2004 .

[15]  J. Zumberge,et al.  Precise point positioning for the efficient and robust analysis of GPS data from large networks , 1997 .

[16]  K. Feigl,et al.  Radar interferometry and its application to changes in the Earth's surface , 1998 .

[17]  Xiaoli Ding,et al.  Modeling atmospheric effects on InSAR with meteorological and continuous GPS observations: algorithms and some test results , 2004 .

[18]  Howard A. Zebker,et al.  Correction for interferometric synthetic aperture radar atmospheric phase artifacts using time series of zenith wet delay observations from a GPS network , 2006 .

[19]  Xiaoli Ding,et al.  Estimating Spatiotemporal Ground Deformation With Improved Permanent-Scatterer Radar Interferometry , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[20]  P. Visser,et al.  Precise orbit determination and gravity field improvement for the ERS satellites , 1998 .

[21]  Xiaoli Ding,et al.  Exploring The Generation Of Digital Elevation Models From Same‐Side Ers Sar Images: Topographic And Temporal Effects , 2006 .

[22]  M. Simons,et al.  A satellite geodetic survey of large-scale deformation of volcanic centres in the central Andes , 2002, Nature.

[23]  Xiaoli Ding,et al.  Estimating Spatiotemporal Ground Deformation With Improved Persistent-Scatterer Radar Interferometry$^\ast$ , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[24]  Jordi J. Mallorquí,et al.  Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images , 2003, IEEE Trans. Geosci. Remote. Sens..

[25]  Robert Haining,et al.  Statistics for spatial data: by Noel Cressie, 1991, John Wiley & Sons, New York, 900 p., ISBN 0-471-84336-9, US $89.95 , 1993 .

[26]  Jiu Jimmy Jiao,et al.  Preliminary assessment of the impacts of deep foundations and land reclamation on groundwater flow in a coastal area in Hong Kong, China , 2006 .

[27]  Xiaoli Ding,et al.  Detecting Land Subsidence in Shanghai by PS-Networking SAR Interferometry , 2008, Sensors.

[28]  Zhiwei Li Modeling atmospheric effects on repeat-pass InSAR measurements , 2005 .

[29]  H. Zebker,et al.  A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers , 2004 .

[30]  Wu Chen,et al.  Characteristics of Daily Position Time Series from the Hong Kong Gps Fiducial Network , 2008 .

[31]  Fabio Rocca,et al.  Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..