Interferometric SAR Time Series Analysis for Ground Subsidence of the Abandoned Mining Area in North Peixian Using Sentinel-1A TOPS Data
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The North Peixian mining area of China has rich coal resources, with total proven reserves of 2.37 billion tons. However, the underground coal mining activities have resulted in ground collapse, which has caused serious harm to the environment and threatened the lives and properties of local residents. In this study, 12 Sentinel-1A terrain observation by progressive scans (TOPS) mode acquisitions between 30 July 2015 and 13 May 2016 over the abandoned mining area in North Peixian were analyzed using the interferometric synthetic aperture radar (InSAR) time series method to detect the ground subsidence, with the maximum ground subsidence reaching 83 mm/a and an average value of about 12.7 mm/a. The subsidence results derived from the Sentinel-1A TOPS mode dataset were proven to be effective in investigating and monitoring the ground subsidence in the North Peixian mining area. Compared to the rapid deformation during the ongoing period of mining excavation, the ground subsides slowly in abandoned mining areas and shows a linear relationship with time over a relatively long period of time. Spatial correlation between the subsidence distribution and land cover was found, in that the magnitude of the subsidence in urban areas was smaller than that in rural areas, which is associated with the controlled coal mining activities under buildings, railways, and water bodies. The results demonstrate that Sentinel-1A TOPS SAR images can be used to effectively and accurately detect and monitor ground subsidence in a mining area, which is critically important when investigating land subsidence in a large-scale mining area.
KeywordsSentinel-1A TOPS Subsidence Abandoned mining area
We would like to thank ESA for providing the Sentinel-1 SAR dataset of the abandoned mining area in North Peixian. We thank NASA for providing the optical remote sensing image of LandSat8. We would also like to thank Andy Hooper, David Bekaert, Karsten Spaans for making the StaMPS Toolbox available. The research work is funded by Fundamental Research Funds for the Central Universities (No. 2015XKMS052), Natural Science Foundation of China (No. 51574221), Fundamental Research Funds for the Central Universities (No. KYLX16_0545).
- Chatterjee, R. S., Thapa, S., Singh, K. B., Varunakumar, G., & Raju, E. V. R. (2015). Detecting, mapping and monitoring of land subsidence in Jharia Coalfield, Jharkhand, India by spaceborne differential interferometric SAR, GPS and precision levelling techniques. Journal of Earth System Science, 124(6), 1–18.CrossRefGoogle Scholar
- Geudtner, D., Torres, R., Snoeij, P., & Davidson, M. (2014). Sentinel-1 system capabilities and applications. In IGARSS 2014—2014 IEEE International Geoscience and Remote Sensing Symposium.Google Scholar
- Goel, K., Adam, N., & Minet, C. (2011). Long term analysis of strong non-linear deformations induced by coal mining using the SBAS technique. Proceedings of Fringe 2011, Frascati, Italy. ESA SP-697, p. 17.Google Scholar
- Hennig, T. A., Kretsch, J. L., Pessagno, C. J., Salamonowicz, P. H., & Stein, W. L. (2000). The Shuttle Radar Topography Mission. Reviews of Geophysics, 45(2), 37–55.Google Scholar
- Hooper, A. J. (2006). Persistent scatter radar interferometry for crustal deformation studies and modeling of volcanic deformation.Google Scholar
- Liu, J., & Zhang, G. H. (2007). Numerical simulation research on moving and strain of over rock mined. Journal of North China Institute of Science and Technology, 4(2), 22–25.Google Scholar
- Miranda, N. (2014). Definition of the TOPS SLC deramping function for products generated by the S-1 IPF. European Space Agency, Paris, France, Technical Report. Google Scholar
- Ng, A. H. M., Ge, L., Zhang, K., Chang, H. C., Li, X., Rizos, C. & Omura, M. (2011). Deformation mapping in three dimensions for underground mining using InSAR - Southern highland coalfield in New South Wales, Australia. International Journal of Remote Sensing, 32(22), 7227–7256.CrossRefGoogle Scholar
- Xiao, W., Hu, Z., Gong, B., Zhang, P., & Han, B. (2011). Visualisation of the characteristics of mining subsidence with the consideration of topography: a case study in China. International Journal of Mining and Mineral Engineering, (1), 16–25.Google Scholar
- Zhang, F. W., Hou, X. W., Han, Z. B., Yang, H. F., & Song, Y. X. (2003). Impact of coal mining subsidence on soil quality and some protecting technique for the soil quality. Geography and Geo-information Science, 19(3), 67–70.Google Scholar
- Zhong, M. J. (2011). New regulations on mine geological environmental protection. Academic Forum, 191.Google Scholar