Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

An approach to study the mechanism of mining-induced subsidence, using a combination of phase-stacking and sub-pixel offset-tracking methods, is reported. In this method, land subsidence with a small deformation gradient was calculated using time-series differential interferometric synthetic aperture radar (D-InSAR) data, whereas areas with greater subsidence were calculated by a sub-pixel offset-tracking method. With this approach, time-series data for mining subsidence were derived in Yulin area using 11 TerraSAR-X (TSX) scenes from 13 December 2012 to 2 April 2013. The maximum mining subsidence and velocity values were 4.478 m and 40 mm/day, respectively, which were beyond the monitoring capabilities of D-InSAR and advanced InSAR. The results were compared with the GPS field survey data, and the root mean square errors (RMSE) of the results in the strike and dip directions were 0.16 m and 0.11 m, respectively. Four important results were obtained from the time-series subsidence in this mining area: (1) the mining-induced subsidence entered the residual deformation stage within about 44 days; (2) the advance angle of influence changed from 75.6° to 80.7°; (3) the prediction parameters of mining subsidence; (4) three-dimensional deformation. This method could be used to predict the occurrence of mining accidents and to help in the restoration of the ecological environment after mining activities have ended.

[1]  P. Rosen,et al.  On the derivation of coseismic displacement fields using differential radar interferometry: The Landers earthquake , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

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

[3]  Kazhong Deng,et al.  Land subsidence monitoring by D-InSAR technique , 2011 .

[4]  Zhenguo Liu,et al.  Evaluation of InSAR and TomoSAR for Monitoring Deformations Caused by Mining in a Mountainous Area with High Resolution Satellite-Based SAR , 2014, Remote. Sens..

[5]  Chris Rizos,et al.  Preliminary Results of Satellite Radar Differential Interferometry for the Co-seismic Deformation of the 12 May 2008 Ms8.0 Wenchuan Earthquake , 2008, Ann. GIS.

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

[7]  Freysteinn Sigmundsson,et al.  Deflation of the Askja volcanic system: Constraints on the deformation source from combined inversion of satellite radar interferograms and GPS measurements , 2006 .

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

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

[10]  Teng Wang,et al.  Measuring Coseismic Displacements With Point-Like Targets Offset Tracking , 2014, IEEE Geoscience and Remote Sensing Letters.

[11]  Jean Taboury,et al.  Measuring ground displacements from SAR amplitude images: Application to the Landers Earthquake , 1999 .

[12]  Zhong Lu,et al.  Estimating lava volume by precision combination of multiple baseline spaceborne and airborne interferometric synthetic aperture radar: the 1997 eruption of Okmok volcano, Alaska , 2003, IEEE Trans. Geosci. Remote. Sens..

[13]  Paul A. Rosen,et al.  3-D surface deformation of the 2000 Usu Eruption measured by matching of SAR images , 2001 .

[14]  Xiaojing Li,et al.  Estimating horizontal and vertical movements due to underground mining using ALOS PALSAR , 2012 .

[15]  Yong Qin,et al.  A model for extracting large deformation mining subsidence using D-InSAR technique and probability integral method , 2014 .

[16]  Zhong Lu.  Lava volume from the 1997 Eruption of Okmok volcano , Alaska , estimated using spaceborne and airborne interferometric synthetic aperture radar , 2002 .

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

[18]  Esra Erten,et al.  Glacier Velocity Monitoring by Maximum Likelihood Texture Tracking , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Chris Rizos,et al.  Mapping accumulated mine subsidence using small stack of SAR differential interferograms in the Southern coalfield of New South Wales, Australia , 2010 .

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

[21]  Urs Wegmüller,et al.  Glacier motion estimation using SAR offset-tracking procedures , 2002, IEEE Trans. Geosci. Remote. Sens..

[22]  Jan-Peter Muller,et al.  Evaluating sub-pixel offset techniques as an alternative to D-InSAR for monitoring episodic landslide movements in vegetated terrain , 2014 .

[23]  C. Werner,et al.  Estimation of Arctic glacier motion with satellite L-band SAR data , 2008 .

[24]  K. Feigl,et al.  The displacement field of the Landers earthquake mapped by radar interferometry , 1993, Nature.

[25]  H. D. Fan,et al.  Subsidence monitoring using D-InSAR and probability integral prediction modelling in deep mining areas , 2015 .

[26]  Hansheng Wang,et al.  Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique , 2014, Remote. Sens..

[27]  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).