Monitoring Building Deformation with InSAR: Experiments and Validation

Synthetic Aperture Radar Interferometry (InSAR) techniques are increasingly applied for monitoring land subsidence. The advantages of InSAR include high accuracy and the ability to cover large areas; nevertheless, research validating the use of InSAR on building deformation is limited. In this paper, we test the monitoring capability of the InSAR in experiments using two landmark buildings; the Bohai Building and the China Theater, located in Tianjin, China. They were selected as real examples to compare InSAR and leveling approaches for building deformation. Ten TerraSAR-X images spanning half a year were used in Permanent Scatterer InSAR processing. These extracted InSAR results were processed considering the diversity in both direction and spatial distribution, and were compared with true leveling values in both Ordinary Least Squares (OLS) regression and measurement of error analyses. The detailed experimental results for the Bohai Building and the China Theater showed a high correlation between InSAR results and the leveling values. At the same time, the two Root Mean Square Error (RMSE) indexes had values of approximately 1 mm. These analyses show that a millimeter level of accuracy can be achieved by means of InSAR technique when measuring building deformation. We discuss the differences in accuracy between OLS regression and measurement of error analyses, and compare the accuracy index of leveling in order to propose InSAR accuracy levels appropriate for monitoring buildings deformation. After assessing the advantages and limitations of InSAR techniques in monitoring buildings, further applications are evaluated.

[1]  Hongan Wu,et al.  Ground Subsidence in the Beijing-Tianjin-Hebei Region from 1992 to 2014 Revealed by Multiple SAR Stacks , 2016, Remote. Sens..

[2]  Yuxiao Qin,et al.  Monitoring Ground Subsidence in Hong Kong via Spaceborne Radar: Experiments and Validation , 2015, Remote. Sens..

[3]  Nicola Casagli,et al.  Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study , 2015, Remote. Sens..

[4]  Structural Assessment of Case Study Historical and Modern Buildings in the Florentine Area Based on a PSI-Driven Seismic and Hydrogeological Risk Analysis , 2015 .

[5]  Nicola Casagli,et al.  Analysis of building deformation in landslide area using multisensor PSInSAR™ technique , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[6]  Fabiana Calò,et al.  An application of the SBAS-DInSAR technique for the assessment of structural damage in the city of Rome , 2014 .

[7]  Daniele Perissin,et al.  L- and X-Band Multi-Temporal InSAR Analysis of Tianjin Subsidence , 2014, Remote. Sens..

[8]  Ge Da Monitoring subsidence on Shanghai Metro line 10 during construction and operation using high-resolution InSAR , 2014 .

[9]  Giovanni B. Crosta,et al.  Damage to Buildings in Large Slope Rock Instabilities Monitored with the PSInSAR™ Technique , 2013, Remote. Sens..

[10]  Hermann Kaufmann,et al.  Remarkable Urban Uplift in Staufen im Breisgau, Germany: Observations from TerraSAR-X InSAR and Leveling from 2008 to 2011 , 2013, Remote. Sens..

[11]  Bing Yu,et al.  Deformation Trend Extraction Based on Multi-Temporal InSAR in Shanghai , 2013, Remote. Sens..

[12]  Veronica Tofani,et al.  Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring , 2013, Remote. Sens..

[13]  Mt. Legnoncino Dsgsd,et al.  Damage to Buildings in Large Slope Rock Instabilities Monitored with the PSInSAR TM Technique , 2013 .

[14]  Zhihua Yang,et al.  Complex Urban Infrastructure Deformation Monitoring Using High Resolution PSI , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[15]  V. Kumar,et al.  Glacier surface velocity estimation using SAR interferometry technique applying ascending and descending passes in Himalayas , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[16]  J. Mulas,et al.  Control of deformation of buildings affected by subsidence using persistent scatterer interferometry , 2010 .

[17]  Urs Wegmüller,et al.  Nonuniform Ground Motion Monitoring With TerraSAR-X Persistent Scatterer Interferometry , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[18]  V. Ketelaar Satellite Radar Interferometry: Subsidence Monitoring Techniques , 2009 .

[19]  V. B. H. Ketelaar,et al.  Satellite Radar Interferometry , 2009 .

[20]  Andrew Hooper,et al.  A multi‐temporal InSAR method incorporating both persistent scatterer and small baseline approaches , 2008 .

[21]  Daniele Perissin,et al.  Urban-Target Recognition by Means of Repeated Spaceborne SAR Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Chris Rizos,et al.  Mine subsidence monitoring using multi-source satellite SAR images , 2007 .

[23]  Urs Wegmüller,et al.  Monitoring of mining induced surface deformation using L-band SAR interferometry , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[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]  C. Werner,et al.  Interferometric point target analysis for deformation mapping , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

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

[27]  R. Hanssen Radar Interferometry: Data Interpretation and Error Analysis , 2001 .

[28]  F. Rocca,et al.  Permanent scatterers in SAR interferometry , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[29]  Riccardo Lanari,et al.  Dynamic deformation of Etna volcano observed by satellite radar interferometry , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

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

[31]  W. Tobler A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .