Environmental Impact Evaluation of Underground Mining Activities Using InSAR Technique

Yao  Bin Sheng; Yan Shen; Shu Lin Xu

doi:10.4028/www.scientific.net/AMR.1073-1076.1907

Paper Titles

Study on GIS Framework and Spatial Data Mining Model of China Highway Natural Regionalization
p.1886

A Review of Remote Sensing Drought Monitoring Method
p.1891

Analysis in Stability of Monitoring Network for Deep Foundation Pit Based on Mean Spacing Method
p.1895

Study of Optional Bands Combination of Landsat Imagery for Extracting Information of Ice Shelves
p.1902

Environmental Impact Evaluation of Underground Mining Activities Using InSAR Technique
p.1907

High-Resolution Satellite Application in Land Cover Change Detection
p.1911

Modeling of Three-Dimensional Terrain Data for Intelligent Control of Unmanned Construction Machine in Deterministic Surfacing Process
p.1917

Remote Sensing Image Quality Assessment Based on Engineering Quality and Spectral Quality
p.1922

Research on 3D Tunnel Modeling Based on Close-Range Photogrammetry
p.1934

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1073-1076Environmental Impact Evaluation of Underground...

Environmental Impact Evaluation of Underground Mining Activities Using InSAR Technique

Abstract:

This papers deals with the study of environmental impact assessment of underground coal mining activities. InSAR technique was utilized in this paper to monitor the mine subsidence caused by underground mine extractions. The study area is in Chongqing municipality in west of China, and the studied coal mine has been founded for more than 80 years. Two ALOS PALSAR images were used in this study; the time interval of two image acquisition time is approximately two years and one month. The underground mining-induced subsidence could be easily identified from the unwrapped interferogram, and the maximum subsidence value was around 32.8 centimeters.

You might also be interested in these eBooks

Environmental Protection and Resource Utilization IV

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1073-1076)

Pages:

1907-1910

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1073-1076.1907

Citation:

Cite this paper

Online since:

December 2014

Authors:

Yao Bin Sheng*, Yan Shen, Shu Lin Xu

Keywords:

Environmental Impact, SAR Interferometry (InSAR), Underground Mining

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Donnelly, L.J., Culshaw, M.G. and Bell, F.G. Longwall mining-induced fault reactivation and delayed subsidence ground movement in British coalfields. Journal of Engineering Geology and Hydrogeology, 41 (2008), p.301–314.

DOI: 10.1144/1470-9236/07-215

Google Scholar

[2] L Ge, H Chang and C Rizos. Mine subsidence monitoring using multi-source satellite SAR images. Photogrammetric Engineering and Remote Sensing, 73-3 (2007), pp.259-266.

DOI: 10.14358/pers.73.3.259

Google Scholar

[3] Zebker, H. and R. Goldstein. Topographic mapping from interferometric synthetic aperture radar observations. Journal of Geophysical Research, 91- B5 (1986), pp.4993-4999.

DOI: 10.1029/jb091ib05p04993

Google Scholar

[4] Massonnet, D., M. Rossi, C. Carmona, et al. The displacement field of the Landers earthquake mapped by radar interferometry. Nature, 364-8 (1993), pp.138-142.

DOI: 10.1038/364138a0

Google Scholar

[5] Christophe, D., A. Pascal, et al. Remote-sensing techniques for analysing landslide kinematics: a review. Bulletin de la Societe Geologique de France, 2(2007), pp.89-100.

Google Scholar

[6] A. J. Hooper. Persistent Scatterer radar interferometry for crustal deformation studies and modeling of volcano deformation. Stanford University. (2006).

Google Scholar

[7] A. H. Ng. Advanced Satellite Radar Interferometry for Ground Surface Displacement Detection. University of New South Wales. (2010).

Google Scholar

[8] Hanssen, R.F. Radar Interferometry - Data Interpretation and Error Analysis. Kluwer cademic Publishers, The Netherlands. (2001).

Google Scholar

[9] Rosen, P.A., Hensley, S., Joughin, I.R. and Li, F.K., Madsen, et al. Synthetic Aperture Radar Interferometry. Proceedings of the IEEE, 88 (3), pp.333-382. (2000).

DOI: 10.1109/5.838084

Google Scholar