Abstract
The subsidence of the mining area was monitored by analyzing the phase of permanent scatters (PS) which maintained high coherence in magnitude of SAR images. A new method of spatial unwrapping was presented which used the subsidence rates calculated on corner reflector (CR) points as constraints for PS network to perform the spatial unwrapping using the parametric adjustment method. The algorithm achieved the integration of CR data and PSInSAR algorithm. The colliery dense distributed area around Baisha reservoir was chosen as the study area in the experiment. The time series of subsidence from February in 2007 to February in 2010 is successfully inversed by using the periodic function to simulate the linear and nonlinear components of the deformation. The simulation results show that the accuracy can be ± 2.1 mm with the leveling data being used as the external validation data.
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Foundation item: Project(2006AA12Z156) supported by the National High Technology Research and Development Program of China; Projects(40974006, 40774003) supported by the National Natural Science Foundation of China; Project supported by Construct Program of the Key Discipline in Hunan Province, China; Projects(2011GK3106, 2011SK3077) supported by Science and Technology Department of Hunan Province, China
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Xing, Xm., Zhu, Jj., Wang, Yz. et al. Time series ground subsidence inversion in mining area based on CRInSAR and PSInSAR integration. J. Cent. South Univ. 20, 2498–2509 (2013). https://doi.org/10.1007/s11771-013-1762-x
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DOI: https://doi.org/10.1007/s11771-013-1762-x