Monitoring, Analyzing, and Modeling for Single Subsidence Basin in Coal Mining Areas Based on SAR Interferometry with L-Band Data

Excessive exploitation of underground mine resources has caused serious land subsidence in China. -is paper focused on monitoring and modeling the single subsidence basin in coal mining area based on SAR interferometry (InSAR). -e optimum InSAR processing strategy to monitor the mining subsidence was built to obtain the land subsidence with large deformation. And a method of three-dimensional mathematical modeling of single subsidence basin based on InSAR measurements was presented. Using Jining Coalfield (China) as the study area, we acquired 7 L-band PALSAR images from January 2008 to February 2010 to monitor the land subsidence in Jining Coalfield. -e deformation maps in Jining Coalfield in different periods were obtained. Taking the Geting Coal Mine within the Jining coalfield as an example, we finely analyzed and interpreted the deformation maps. Compared with the simultaneous filed measurements, the precision of deformation measurement using D-InSAR in mining area was analyzed.-e root mean square error was 1.37 cm.-emethod of fine interpretation and analysis for a single subsidence basin was established. -e experiments have proved that InSAR technique with L-band InSAR data is suitable for monitoring mining subsidence with large deformation. And the 3D mathematical modeling method could be used for the single subsidence basin in coal mining area.

[1]  Zhiwei Li,et al.  Improved filtering parameter determination for the goldstein radar interferogram filter , 2008 .

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

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

[4]  Timo Balz,et al.  Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks , 2013, Remote. Sens..

[5]  Michele Crosetto,et al.  Spaceborne Differential SAR Interferometry: Data Analysis Tools for Deformation Measurement , 2011, Remote. Sens..

[6]  Zhong Lu,et al.  Interferometric synthetic aperture radar study of Okmok volcano, Alaska, 1992-2003: Magma supply dynamics and postemplacement lava flow deformation , 2005 .

[7]  R. Goldstein,et al.  Mapping small elevation changes over large areas: Differential radar interferometry , 1989 .

[8]  Wen Zhang,et al.  Characteristics of the Residual Surface Deformation of Multiple Abandoned Mined-Out Areas Based on a Field Investigation and SBAS-InSAR: A Case Study in Jilin, China , 2020, Remote Sensing.

[9]  Yun Shi,et al.  On Time-Series InSAR by SA-SVR Algorithm: Prediction and Analysis of Mining Subsidence , 2020, J. Sensors.

[10]  Zhong Lu,et al.  InSAR Imaging of Volcanic Deformation over Cloud-prone Areas - Aleutian Islands , 2007 .

[11]  Li Zhang,et al.  An Underground-Mining Detection System Based on DInSAR , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Dawei Zhou,et al.  Goaf Locating Based on InSAR and Probability Integration Method , 2019, Remote. Sens..

[13]  Jie Wang,et al.  Mapping Land Subsidence Related to Underground Coal Fires in the Wuda Coalfield (Northern China) Using a Small Stack of ALOS PALSAR Differential Interferograms , 2013, Remote. Sens..

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

[15]  Ni-Bin Chang,et al.  Applications of SAR Interferometry in Earth and Environmental Science Research , 2009, Sensors.

[16]  Hao Li,et al.  Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data , 2020, Sensors.

[17]  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.

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

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

[20]  Xiaoli Ding,et al.  Modeling minimum and maximum detectable deformation gradients of interferometric SAR measurements , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[21]  Xiaobo Xu,et al.  Inversion and Analysis of Mining Subsidence by Integrating DInSAR, Offset Tracking, and PIM Technology , 2020, J. Sensors.

[22]  Zefa Yang,et al.  Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry , 2018 .

[23]  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 .

[24]  Kazhong Deng,et al.  An Improved Adaptive Template Size Pixel-Tracking Method for Monitoring Large-Gradient Mining Subsidence , 2017, J. Sensors.

[25]  Kaoru Fukuyama,et al.  Application of InSAR and GIS Techniques to Ground Subsidence Assessment in the Nobi Plain, Central Japan , 2013, Sensors.

[26]  Yuanping Xia,et al.  InSAR- and PIM-Based Inclined Goaf Determination for Illegal Mining Detection , 2020, Remote. Sens..

[27]  K. Feigl,et al.  Radar interferometry and its application to changes in the Earth's surface , 1998 .

[28]  Chaokui Li,et al.  An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method , 2020, Advances in Civil Engineering.

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

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