An improved pixel-tracking method for monitoring mining subsidence

ABSTRACT Underground mining always induces large vertical displacements in the ground surface and, because of the large subsidence gradient, the phase-unwrapping methods of interferometric synthetic aperture radar (InSAR) are unable to give accurate results. Pixel tracking based on normalized cross-correlation maximization overcomes the limitations imposed by the subsidence gradient and can be used to monitor large displacements. This paper introduces and analyses each component of the offset field and then describes the improved method used to efficiently remove orbital error and topography-related offset caused by rugged terrain with the help of a digital elevation model (DEM). Eleven TerraSAR-X images in spotlight mode and Shuttle Radar Tomography Mission (SRTM) DEM data are used to monitor mining subsidence by the improved pixel-tracking method in Shenmu County of Yulin City. The root mean square error (RMSE) between the improved method and Global Positioning System (GPS) data in the strike and dip directions are 0.143 and 0.108 m, respectively. The approach presented here is shown to be appropriate for monitoring large vertical displacements in mining subsidence.

[1]  Yang Yu,et al.  Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods , 2015, Remote. Sens..

[2]  Zhong Lu,et al.  Mining collapse monitoring with SAR imagery data: a case study of Datong mine, China , 2014 .

[3]  Zhong Lu,et al.  Time-series deformation monitoring over mining regions with SAR intensity-based offset measurements , 2013 .

[4]  Michael Eineder,et al.  Accuracy of differential shift estimation by correlation and split-bandwidth interferometry for wideband and delta-k SAR systems , 2005, IEEE Geoscience and Remote Sensing Letters.

[5]  Shiyong Yan,et al.  Accurate Determination of Glacier Surface Velocity Fields with a DEM-Assisted Pixel-Tracking Technique from SAR Imagery , 2015, Remote. Sens..

[6]  Michele Manunta,et al.  Geometrical SAR image registration , 2006, IEEE Transactions on Geoscience and Remote Sensing.

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

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

[9]  Guang Liu,et al.  Coal mining induced land subsidence monitoring using multiband spaceborne differential interferometric synthetic aperture radar data , 2011 .

[10]  Liming Jiang,et al.  Potential of small-baseline SAR interferometry for monitoring land subsidence related to underground coal fires: Wuda (Northern China) case study , 2011 .

[11]  Huadong Guo,et al.  Mountain glacier displacement estimation using a DEM-assisted offset tracking method with ALOS/PALSAR data , 2013 .

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

[13]  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 .

[14]  Vijay Kumar,et al.  SAR interferometry and offset tracking approaches for glacier movement estimation in the Himalaya , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[15]  Saygin Abdikan,et al.  Monitoring of coal mining subsidence in peri-urban area of Zonguldak city (NW Turkey) with persistent scatterer interferometry using ALOS-PALSAR , 2014, Environmental Earth Sciences.

[16]  Chao Wang,et al.  Analysis of ground subsidence at a coal-mining area in Huainan using time-series InSAR , 2015 .

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

[18]  Timo Balz,et al.  Landslide deformation monitoring using point-like target offset tracking with multi-mode high-resolution TerraSAR-X data , 2015 .