In coal mining areas, ground subsidence persistently happens, which brings serious environmental issues and affects the safety of infrastructure. In order to effectively assess and control the security problems especially traffic problems brought by mining in Dayan mining area which located in Hulunbeier, Inner Mongolia, China. This paper uses the sentinel-1 data to monitor land subsidence through D-InSAR. According to D-InSAR results, it can be clearly found that the uplifting of railways and the subsidence basin caused by human activities. Subsidence basin is the most risky area and should be concerned, so we analyzed it carefully through combining subsidence profile and coherence profile. By comparing with the leveling results, the accuracy of D-InSAR reaches 7.7 mm. The research shows that D-InSAR can accurately reflect the trend of land subsidence, which is important for land deformation monitoring in mining areas and D-InSAR results can provide data support for mine safety assessment.
[1]
Chris Rizos,et al.
Mapping accumulated mine subsidence using small stack of SAR differential interferograms in the Southern coalfield of New South Wales, Australia
,
2010
.
[2]
Didier Massonnet,et al.
Two examples of the use of SAR interferometry on displacement fields of small spatial extent
,
1996
.
[3]
R. Goldstein,et al.
Mapping small elevation changes over large areas: Differential radar interferometry
,
1989
.
[4]
Yong Qin,et al.
A model for extracting large deformation mining subsidence using D-InSAR technique and probability integral method
,
2014
.
[5]
Chris Rizos,et al.
GPS and GIS Assisted Radar Interferometry
,
2004
.