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Survey Review Volume 47, 2015 - Issue 345
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Original Articles

Subsidence monitoring using D-InSAR and probability integral prediction modelling in deep mining areas

H. D. FanJiangsu Key Laboratory of Resources and Environmental Information Engineering;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
,
D. ChengJiangsu Key Laboratory of Resources and Environmental Information Engineering;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
,
K. Z. DengJiangsu Key Laboratory of Resources and Environmental Information Engineering;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaCorrespondence[email protected]
,
B. Q. ChenJiangsu Key Laboratory of Resources and Environmental Information Engineering;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
&
C. G. ZhuJiangsu Key Laboratory of Resources and Environmental Information Engineering;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
Pages 438-445 | Received 19 Mar 2014, Accepted 15 Dec 2014, Published online: 16 Jan 2015

References

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