Earth and Rock-Filled Dam Monitoring by High-Resolution X-Band Interferometry: Gongming Dam Case Study

Middle-sized earthand rock-filled dams with clay cores continue to settle by approximately 0.5–1.5% of their height for approximately 1–3 years after their construction phase. This paper investigates the use of high-resolution spaceborne Synthetic aperture Radar (SAR) interferometry to monitor this settlement process, with the case of the Gongming dam in China. The varieties of slope foreshortening and stretching in the radar coordinates are attributed to the radar’s local incidence angle and the dam’s slope heading, which are analysed in detail. Focusing on the embankment slope settlement analysis, the equations for calculating foreshortening and the line-of-sight deformation decomposition are derived in detail for the adjustment and data fusing. The scattering characteristics of different materials on the dam surface are analysed, including the grass slope, concrete slope, top road (crest), top wall, step, and ditch. According to the analysis of the precipitation data from a local meteorological station, the coherence losses on the slopes are mainly caused by surface moisture. Both the TerraSAR-X Spotlight (TSX-SL) data and the COSMO-SkyMed Strip Mode (CSK-SM) data are analysed by the stacking method to assess the slopes’ deformations. The TSX-SL data results show the highest rate of settlement as 2 cm/yr on the top of the dam slope, consistent with the clay core shrinking process. The CSK-SM data show a similar trend in the lower part of the dam slope but underestimate the deformation in the upper part of the slope.

[1]  Mahdi Motagh,et al.  Characterizing post-construction settlement of the Masjed-Soleyman embankment dam, Southwest Iran, using TerraSAR-X SpotLight radar imagery , 2017 .

[2]  Michele Crosetto,et al.  Spaceborne Differential SAR Interferometry: Data Analysis Tools for Deformation Measurement , 2011, Remote. Sens..

[3]  Urs Wegmüller,et al.  Deformation analysis of a burst red mud reservoir using combined descending and ascending pass ENVISAT ASAR data , 2012, Natural Hazards.

[4]  Wei Zhou,et al.  Remote Sensing of Deformation of a High Concrete-Faced Rockfill Dam Using InSAR: A Study of the Shuibuya Dam, China , 2016, Remote. Sens..

[5]  Mingsheng Liao,et al.  Three Gorges Dam stability monitoring with time-series InSAR image analysis , 2011 .

[6]  D. Schmidt Time-dependent land uplift and subsidence in the Santa Clara Valley , 2003 .

[7]  Fabio Bovenga,et al.  High resolution satellite multi-temporal interferometry for monitoring infrastructure instability hazards , 2017, Innovative Infrastructure Solutions.

[8]  Fabiana Calò,et al.  Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations , 2013, Remote. Sens..

[9]  Jakob van Zyl Synthetic Aperture Radar Polarimetry , 2011 .

[10]  J. Evangelista The 1916 catastrophic flood following the Bílá Desná dam failure: The role of historical data sources in the reconstruction of its geomorphologic and landscape effects , 2014 .

[11]  Michele Manunta,et al.  A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Daniele Perissin,et al.  Space geodetic monitoring of engineered structures: The ongoing destabilization of the Mosul dam, Iraq , 2016, Scientific Reports.

[13]  Urs Wegmüller,et al.  Persistent scatterer interferometry analysis of the embankment failure of a red mud reservoir using ENVISAT ASAR data , 2011 .

[14]  Yasir Al-Husseinawi,et al.  Evaluation of the Stability of the Darbandikhan Dam after the 12 November 2017 Mw 7.3 Sarpol-e Zahab (Iran-Iraq Border) Earthquake , 2018, Remote. Sens..

[15]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 1999, Remote Sensing.

[16]  Min Xia,et al.  Analysis on coherence changes of dam surface in TerraSAR Strip mode interferograms , 2011, International Symposium on Lidar and Radar Mapping Technologies.

[17]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Wei Zhou,et al.  InSAR Observation and Numerical Modeling of the Earth-Dam Displacement of Shuibuya Dam (China) , 2016, Remote. Sens..

[19]  Mahdi Motagh,et al.  Deformation analysis of the Lake Urmia causeway (LUC) embankments in northwest Iran: insights from multi-sensor interferometry synthetic aperture radar (InSAR) data and finite element modeling (FEM) , 2014, Journal of Geodesy.

[20]  Pierre Briole,et al.  Deformation estimation of an earth dam and its relation with local earthquakes, by exploiting multitemporal synthetic aperture radar interferometry: Mornos dam case (Central Greece) , 2016 .

[21]  Michael Eineder,et al.  The Pyramids of Gizeh Seen by TerraSAR-X—A Prime Example for Unexpected Scattering Mechanisms in SAR , 2008, IEEE Geoscience and Remote Sensing Letters.

[22]  Daniele Perissin,et al.  Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata, Italy , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[23]  Jordi J. Mallorqui,et al.  Comparison between Differential SAR interferometry and ground measurements data in the displacement monitoring of the earth-dam of Conza della Campania (Italy) , 2014 .

[24]  Guido Luzi,et al.  Pre-eruptive ground deformation of Azerbaijan mud volcanoes detected through satellite radar interferometry (DInSAR) , 2014 .

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

[26]  John C. Curlander,et al.  Synthetic Aperture Radar: Systems and Signal Processing , 1991 .