Modeling-Assisted InSAR Phase-Unwrapping Method for Mapping Mine Subsidence

Compared with traditional measurement technologies, synthetic aperture radar interferometry (InSAR) has unique advantages in monitoring ground subsidence due to underground mining. However, when the subsidence gradient of the subsidence trough exceeds the maximum measurable gradient of InSAR technology, the interference fringes will be too dense, causing phase aliasing. As a result, it is impossible to obtain correct phase-unwrapping result. The main objectives of this letter are two folded. First is to develop an unwrapping strategy to deal with the unwrapping problem caused by large subsidence gradient at the mine subsidence trough. The main idea of this strategy is to estimate most of the subsidence phase by multiple model inversions based on iterative approach. Then, the model phases from multiple models are combined with the final unwrapped residual phase. Another objective of this letter is to evaluate the feasibility of the three common deformation models, i.e., Mogi, probability integral method (PIM), and Okada, in solving the phase-unwrapping problem. Their advantages and disadvantages are outlined. Both the simulated data and real data are used for this experiment. The result shows that the problem of large subsidence gradient in the differential interferometric synthetic aperture radar (DInSAR) results can be solved by multiple model inversion. Among the three models, the use of Okada model seems to provide slightly more accurate result for solving the large-scale subsidence in the mining area than the other two models with the proposed strategy.

[1]  Caijun Xu,et al.  3-D coseismic displacement field of the 2005 Kashmir earthquake inferred from satellite radar imagery , 2007 .

[2]  Chao Ma,et al.  Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2, Sentinel-1 and ALOS-2 data , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[3]  Howard A. Zebker,et al.  Phase unwrapping for large SAR interferograms: statistical segmentation and generalized network models , 2002, IEEE Trans. Geosci. Remote. Sens..

[4]  C. Werner,et al.  Radar interferogram filtering for geophysical applications , 1998 .

[5]  Di Peng,et al.  Study of probability integration method parameter inversion by the genetic algorithm , 2017 .

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

[7]  Pawel Stefaniak,et al.  Deformation information system for facilitating studies of mining-ground deformations, development, and applications , 2013 .

[8]  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.

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

[10]  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 .

[11]  Kristy F. Tiampo,et al.  Modeling of fast ground subsidence observed in southern Saskatchewan (Canada) during 2008–2011 , 2013 .

[12]  Syd S. Peng,et al.  Coal Mine Ground Control , 1978 .

[14]  D. Carroll.  GENETIC ALGORITHMS AND OPTIMIZING CHEMICAL OXYGEN-IODINE LASERS , 1996 .

[15]  C. Werner,et al.  Satellite radar interferometry: Two-dimensional phase unwrapping , 1988 .

[16]  Witold Rohm,et al.  Mining Deformation Life Cycle in the Light of InSAR and Deformation Models , 2019, Remote. Sens..

[17]  H. Zebker,et al.  Fault Slip Distribution of the 1999 Mw 7.1 Hector Mine, California, Earthquake, Estimated from Satellite Radar and GPS Measurements , 2002 .

[18]  Jun Hu,et al.  InSAR-Based Model Parameter Estimation of Probability Integral Method and Its Application for Predicting Mining-Induced Horizontal and Vertical Displacements , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Ian Parsons,et al.  Surface deformation due to shear and tensile faults in a half-space , 1986 .

[20]  K. Mogi.  Relations between the Eruptions of Various Volcanoes and the Deformations of the Ground Surfaces around them , 1958 .

[21]  Jun Hu,et al.  Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model , 2017, Remote. Sens..

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

[23]  Luke Bateson,et al.  The application of the Intermittent SBAS (ISBAS) InSAR method to the South Wales Coalfield, UK , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[25]  R. Goldstein,et al.  Topographic mapping from interferometric synthetic aperture radar observations , 1986 .

[26]  Lu Lu,et al.  Method Combining Probability Integration Model and a Small Baseline Subset for Time Series Monitoring of Mining Subsidence , 2018, Remote. Sens..

[27]  Qian Du,et al.  Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring , 2018, Remote. Sens..

[28]  H. Wanga,et al.  Sentinel-1 observations of the 2016 Menyuan earthquake : A buried reverse event linked to the left-lateral Haiyuan fault , 2017 .

[29]  Ryszard Hejmanowski,et al.  Mapping ground movements caused by mining-induced earthquakes applying satellite radar interferometry , 2018, Engineering Geology.

[30]  D. Agnew,et al.  The complete (3‐D) surface displacement field in the epicentral area of the 1999 MW7.1 Hector Mine Earthquake, California, from space geodetic observations , 2001 .