Mine Subsidence Monitoring Using Multi-source Satellite SAR Images

2007 ◽  
Vol 73 (3) ◽  
pp. 259-266 ◽  
Author(s):  
Linlin Ge ◽  
Hsing-Chung Chang ◽  
Chris Rizos
Keyword(s):  
Sar Images ◽  
Mine Subsidence ◽  
Subsidence Monitoring

Application of Differential SAR Interferometry in Mining Subsidence Monitoring

2013 ◽  
Vol 864-867 ◽  
pp. 2735-2738
Author(s):  
Wen Hai Xia ◽  
Yuan Yuan Li
Keyword(s):  
High Spatial Resolution ◽  
Mining Subsidence ◽  
Sar Interferometry ◽  
Sar Images ◽  
Synthetic Aperture Radar Interferometry ◽  
Persistent Scatterer ◽  
Technical Issues ◽  
Subsidence Monitoring ◽  
Differential Sar Interferometry ◽  
Selection Of

Differential synthetic aperture radar Interferometry has been widely applied to monitor mining subsidence for its high spatial resolution, competent accuracy and wide coverage. In this paper, we introduce the principles of InSAR, discuss several key technical issues in mining subsidence monitoring, including selection of SAR images, advanced algorithms for phase unwrapping and Persistent Scatterer InSAR technique.

scholarly journals Inversion and Analysis of Mining Subsidence by Integrating DInSAR, Offset Tracking, and PIM Technology

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xiaobo Xu ◽  
Chao Ma ◽  
Dajun Lian ◽  
Dezheng Zhao
Keyword(s):  
Large Amplitude ◽  
Underground Mining ◽  
Field Investigation ◽  
Shaanxi Province ◽  
Phase Gradient ◽  
Mine Subsidence ◽  
Mining Areas ◽  
Probability Integral Method ◽  
Subsidence Monitoring ◽  
Offset Tracking

High-intensity underground mining generates considerable surface subsidence in mining areas, including ground cracks and collapse pits on roads and farmland, threatening the safety of buildings. Large-amplitude subsidence (e.g., >2 m) is usually characterized by a large phase gradient in interferograms, leading to severe phase decorrelation and unwrapping errors. Therefore, the subsidence on the surface cannot be well derived simply using conventional differential interferometric synthetic aperture radar (DInSAR) or other geodetic measurements. We propose a new method that combines both DInSAR and subpixel offset-tracking technology to improve mine subsidence monitoring over large areas. We utilize their respective advantages to extract both the spatial boundaries and the amplitude of displacements. Using high-resolution RADARSAT-2 SAR images (5 m) acquired on February 13, 2012, and November 27, 2012, in the Shendong Coalfield located at the border between Shaanxi Province and Inner Mongolia Province, China, we obtain the subcentimetre-level subsidence of the mine boundary by DInSAR and resolve the metre-level mine subsidence centre based on subpixel offset tracking. The whole subsidence field is obtained by combining and analyzing the subcentimetre-level and the metre-level subsidence. We use the probability integral method (PIM) function model to fit the boundary and central mine subsidence to reconstruct the spatial distribution of the mine subsidence. Our results show that the maximum central subsidence reaches ~4.0 m (beyond the monitoring capabilities of DInSAR), which is generally in agreement with the maximum subsidence of ~4.0-5.0 m from field investigation. We also model the boundary and the central subsidence (the final fitting coefficient is 0.978). Our findings indicate that the offset-tracking method can compensate for the deficiency of DInSAR in large-amplitude subsidence extraction, and the inclusion of the PIM technique helps reconstruct the whole subsidence field in mining areas.

scholarly journals Exploitation of the full potential of PSI data for subsidence monitoring

2015 ◽  
Vol 372 ◽  
pp. 311-314 ◽  
Author(s):  
M. Crosetto ◽  
N. Devanthéry ◽  
M. Cuevas-González ◽  
O. Monserrat ◽  
B. Crippa
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Full Potential ◽  
Persistent Scatterer Interferometry ◽  
Sar Images ◽  
Remote Sensing Technique ◽  
Persistent Scatterer ◽  
Land Deformation ◽  
Interferometric Sar ◽  
Subsidence Monitoring

Abstract. Persistent Scatterer Interferometry (PSI) is a remote sensing technique used to measure and monitor land deformation from a stack of interferometric SAR images. The main products that can be derived using the PSI technique are the deformation maps and the time series of deformation. In this paper, an approach to apply the PSI technique to a stack of Sentinel-1 images is described. Moreover, the problems encountered during the processing are detailed and an explanation of how they were dealt with is provided. Finally, Sentinel-1 deformation maps and time series obtained over the metropolitan area of Mexico DF are shown.

scholarly journals LAND SUBSIDENCE MONITORING WITH MULTI-TRACK SAR DATA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 313-318
Author(s):  
X. Li ◽  
L. Yan ◽  
G. Huang
Keyword(s):  
Land Subsidence ◽  
Cross Validation ◽  
Single Track ◽  
Sar Images ◽  
Hebei Plain ◽  
Precision Time ◽  
Maximum Subsidence ◽  
Subsidence Monitoring ◽  
Track Deformation ◽  
Overlap Area

Abstract. In this study, we investigated wide-area land subsidence in Hebei Plain using 78 C-band Sentinel-1A SAR images acquired from May 2017 to May 2018 covering two tracks. High-precision time series retrieval was performed by NSBAS technology based on a single track. The offset deformation values of two tracks calculated in this paper were −0.09 mm/year, and the multi-track deformation rate was successfully merged. Using the cross-validation of redundant observations in the multi-track overlap area to evaluate the accuracy, and it was found that 90% pixel difference between the two track overlap areas was within 9 mm. The standard deviation was 5.38 mm, and the subsidence trend of the overlap area was consistent. Twenty-four subsidence bowls were extracted, and the maximum subsidence rate reached −62 mm/year.

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