Monitoring of 3D large surface deformation in coal mines through the integration of synthetic aperture radar pixel offset tracking and probability integration function model

Monitoring of 3D large surface deformation in coal mines through the integration of synthetic aperture radar pixel offset tracking and probability integration function model

Bingqian ChenDa Jiang Jian Zhang Jian Gao Xueting Fan 

School of Geography, Geomatics and Urban-Rural Planning, Jiangsu Normal University, Xuzhou 221116, China

Hunan Province Key Laboratory of Coal Resources Clean-utilization and Mine Environment Protection, Xiangtan 411201, China

Henan Surveying and Mapping Engineering Institute, Zhengzhou 450046, China

Provincial Geomatics Centre of Jiangsu, Nanjing 210013, China

Corresponding Author Email:
30 September 2018
| Citation



Considering the severity of surface deformation in coal mines and the limitation of the popular deformation monitoring technique interferometric synthetic aperture radar (InSAR), this paper attempts to measure the large deformation caused by coal mining and disclose the ground deformation law in an all-round way. For this purpose, the pixel offset tracking (POT) was integrated with the probability integration function model (PIFM) to track the 3D large deformation of the surface based on SAR image amplitude information. Firstly, the line of sight (LOS) deformation was acquired by the POT, while the vertical, east-west and south-north deformations were estimated by the PIFM based on the LOS deformation. After that, the proposed method was applied to monitor the surface deformation of Daliuta mine lot in China’s Shaanxi Province, and the results on 3D large deformation were compared against those obtained by the GPS station. It is found that the root means square error (RMSE) was 16.5 cm in the vertical direction, 12.2cm in the east-west horizontal direction, and 13.4m in the north-south horizontal direction, indicating the proposed method is accurate and reliable. The research findings shed new light on hazard monitoring in coal mines.


interferometric synthetic aperture radar (InSAR), large deformation, deformation monitoring, pixel offset tracking (POT), probability integration function model (PIFM)

1. Introduction
2. Method
3. Experiment
4. Conclusions

This work was funded by the Natural Science Foundation of China (No. 41702375), the Basic Research Project of Jiangsu Province (Natural Science Foundation, No. BK20160218) and Hunan Province Key Laboratory Foundation of Coal Resources Clean-utilization and Mine Environment Protection (No. E21801). The authors would also like to thank the German Aerospace Centre for providing the images (TerraSAR-X Science Plan, No. LAN1425 and LAN1173) over the study area. This work was also funded by the Jiangsu Provincial Bureau of Surveying Mapping and Geoinformation Research Project under Grant No. JSCHKY201803.


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