Estimating Actual 2D Ground Deformations Induced by Underground Activities with Cross-Heading InSAR Measurements

InSAR can only monitor relative ground deformations with respect to a reference area. In order to obtain actual deformations, GCPs or stable area is required in the study area, which, however, may be unavailable in the investigating of geohazards associated with underground activities (i.e., groundwater pumping, underground mining, and oil/gas exploitation). We propose a novel approach to estimate actual 2D deformations based on the InSAR relative LOS measurements acquired from cross-heading datasets. The errors induced by the arbitrary selection of reference areas can thus be avoided. The performance of the proposed approach is validated by a series of simulations. By providing the ascending and descending measurements with errors of 2 and 1.5 mm/year STDs, respectively, the RMSEs are 2.1 and 2.6 mm/year for the estimated vertical and east deformations, respectively. A case study is carried out in Cangzhou, China, for estimating the actual 2D ground deformations associated with groundwater pumping. By integrating ALOS ascending and ENVISAT descending datasets acquired between 2007 and 2010, we found that the Cangzhou area experienced ground subsidence of up to 23.4 mm/year in the suburbs but ground uplift of up to 20.9 mm/year in the urban area, both of which are accompanied by considerable lateral deformations.

[1]  Lei Zhang,et al.  3D coseismic Displacement of 2010 Darfield, New Zealand earthquake estimated from multi-aperture InSAR and D-InSAR measurements , 2012, Journal of Geodesy.

[2]  Xing Zhong-xin Surface Subsidence and its Countermeasures in Cangzhou City , 2004 .

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

[4]  T. Wright,et al.  Toward mapping surface deformation in three dimensions using InSAR , 2004 .

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

[6]  Guangcai Feng,et al.  Coseismic Deformation of the 2015 Mw 6.4 Pishan, China, Earthquake Estimated from Sentinel‐1A and ALOS2 Data , 2016 .

[7]  Hyung-Sup Jung,et al.  Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin , 2012 .

[8]  D. Sandwell,et al.  Three-dimensional deformation caused by the Bam, Iran, earthquake and the origin of shallow slip deficit , 2005, Nature.

[9]  Don W. Vasco,et al.  Crustal deformation and source models of the Yellowstone volcanic field from geodetic data , 2007 .

[10]  Giuseppe Nunnari,et al.  Simultaneous and Integrated Strain Tensor Estimation From Geodetic and Satellite Deformation Measurements to Obtain Three-Dimensional Displacement Maps , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Xiaoli Ding,et al.  Vertical and horizontal displacements of Los Angeles from InSAR and GPS time series analysis: Resolving tectonic and anthropogenic motions , 2016 .

[12]  Michael A. Saunders,et al.  LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.

[13]  Hyung-Sup Jung,et al.  A Novel Multitemporal InSAR Model for Joint Estimation of Deformation Rates and Orbital Errors , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Deodato Tapete,et al.  Persistent Scatterer Interferometry Processing of COSMO-SkyMed StripMap HIMAGE Time Series to Depict Deformation of the Historic Centre of Rome, Italy , 2014, Remote. Sens..

[15]  Xiaoli Ding,et al.  Modeling PSInSAR Time Series Without Phase Unwrapping , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[16]  H. Zebker,et al.  Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcán Alcedo, Galápagos , 2007 .

[17]  Zhi‐wei Li,et al.  InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils , 2015, Scientific Reports.

[18]  Haijin Guo,et al.  Relation between Land Subsidence and Deep Groundwater Exploitation in Cangzhou City , 2013 .

[19]  Yunwei Tang,et al.  Deformation retrieval in large areas based on multibaseline DInSAR algorithm: a case study in Cangzhou, northern China , 2008 .

[20]  Luo Zu-jiang,et al.  Simulating and forecasting of groundwater exploitation,land subsidence and ground fissure in Cangzhou City , 2013 .

[21]  Qian Sun,et al.  Spatial-temporal surface deformation of Los Angeles over 2003-2007 from weighted least squares DInSAR , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[22]  Joong-Sun Won,et al.  Measurement of three-dimensional surface deformation by Cosmo-SkyMed X-band radar interferometry: Application to the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai'i , 2015 .

[23]  Lei Zhang,et al.  Estimation of 3-D Surface Displacement Based on InSAR and Deformation Modeling , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[24]  Hyung-Sup Jung,et al.  Post-Eruptive Inflation of Okmok Volcano, Alaska, from InSAR, 2008-2014 , 2015, Remote. Sens..

[25]  Joong-Sun Won,et al.  Mapping Three-Dimensional Surface Deformation by Combining Multiple-Aperture Interferometry and Conventional Interferometry: Application to the June 2007 Eruption of Kilauea Volcano, Hawaii , 2011, IEEE Geoscience and Remote Sensing Letters.

[26]  Qian Sun,et al.  Investigating the Ground Deformation and Source Model of the Yangbajing Geothermal Field in Tibet, China with the WLS InSAR Technique , 2016, Remote. Sens..

[27]  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.

[28]  Zhang Lin Land subsidence in Cangzhou over the last decade based on interferometric time series analysis , 2014 .

[29]  Joong-Sun Won,et al.  Measurement of precise three-dimensional volcanic deformations via TerraSAR-X synthetic aperture radar interferometry , 2017 .

[30]  Luo San Monitoring vertical ground deformation in the North China Plain using the multitrack PSInSAR technique , 2014 .

[31]  Deying Ma,et al.  An integrated method based on DInSAR, MAI and displacement gradient tensor for mapping the 3D coseismic deformation field related to the 2011 Tarlay earthquake (Myanmar) , 2015 .

[32]  Qian Sun,et al.  Three-Dimensional Surface Displacements From InSAR and GPS Measurements With Variance Component Estimation , 2012, IEEE Geoscience and Remote Sensing Letters.

[33]  Zhenhong Li,et al.  Integration of InSAR Time-Series Analysis and Water-Vapor Correction for Mapping Postseismic Motion After the 2003 Bam (Iran) Earthquake , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[34]  K. van Thienen-Visser,et al.  On the effect of horizontal deformation on insar subsidence estimates , 2009 .

[35]  Sergey V. Samsonov,et al.  Application of DInSAR-GPS Optimization for Derivation of Fine-Scale Surface Motion Maps of Southern California , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[36]  John M. Wahr,et al.  InSAR measurements of surface deformation over permafrost on the North Slope of Alaska , 2010 .

[37]  Zhenhong Li,et al.  Early 21st century glacier thickness changes in the Central Tien Shan , 2017 .

[38]  Qian Sun,et al.  Towards Slow-Moving Landslide Monitoring by Integrating Multi-Sensor InSAR Time Series Datasets: The Zhouqu Case Study, China , 2016, Remote. Sens..

[39]  Hermann Kaufmann,et al.  Differential SAR interferometry using corner reflectors , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[40]  Zhenhong Li,et al.  Resolving three-dimensional surface displacements from InSAR measurements: A review , 2014 .