A coherence estimation method for multi-temporal D-InSAR deformation monitoring in coal mining areas

Gao, Junhai; Ge, Daqing; Wu, Lingling; Zuo-ru, Yin; Deng, Ziwei; Wang, Yan; Liao, Mingsheng; Zhang, Ling

doi:10.1117/12.654991

SPIE Proceedings

2005

DOI: 10.1117/12.654991

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A coherence estimation method for multi-temporal D-InSAR deformation monitoring in coal mining areas

Junhai Gao

Daqing Ge

Lingling Wu

et al.

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2013

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“…Satellite-based InSAR techniques can detect ground deformation to millimetre scale accuracy over large areas. Several studies have successfully measured mining induced ground deformation using differential radar interferometry (DInSAR) techniques (Carnec and Delacourt, 2000;Chang et al, 2008;Gao et al, 2005;Jarosz and Wanke, 2003;Jarosz et al, 2008;Ng et al, 2008;Perski et al, 2009;Raucoules et al, 2008;Wegmüller et al, 2004;Yue et al, 2011). These, however, have mainly focused on measuring vertical movement, while ground subsidence over coal mines also has a strong horizontal component.…”

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Application of advanced InSAR techniques to detect vertical and horizontal displacements

Morgan¹,

Raval²,

Macdonald³

et al. 2013

Proceedings of the 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering

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The monitoring of surface subsidence is an important aspect in many underground mines. There are various ground-based methods that can be used for deformation monitoring, including optical levelling, GPS, and tiltmeters. This study proposes the use of satellite-based InSAR for the monitoring of surface movement over the Metropolitan Mine, an underground coal mine located in the Southern Coalfields of New South Wales, Australia where ground subsidence has been documented. An advanced multi-image InSAR approach, characterised by a high density of measurement points and millimetre precision, is applied to illustrate how results provide an overview of surface displacement dynamics before, during and after active mining. Two stacks of ENVISAT radar imagery (87 total images) acquired between June 2006 and August 2010 were analysed with the SqueeSAR™ algorithm to reconstruct ground movement patterns during this period. Movements were assessed on a 35-day interval (the revisitation frequency of the ENVISAT satellite), and a time series of deformation was generated for every measurement point. The use of two image stacks acquired from different viewing geometries allowed both the vertical and east-west components of ground movement over this site to be determined. Results illustrate the surface-level impact of underground mining by quantifying the spatial extent and timing of surface movement. The precision of the InSAR data were briefly assessed by comparing results with ground-based GPS survey measurements. While the timing and direction of movements were similar, the comparison was limited by the lack of both spatial and temporal overlap of the data sets. The use of a radar satellite with a higher temporal frequency is recommended for future monitoring of this site. The Southern Coalfield of New South Wales in Australia contains extensive regions of valuable coal deposits. Many of these coal resources are vulnerable to mining-induced subsidence, which may result in operational liability and/or ecological impacts on the ground surface. The ability to track and monitor these surface-level impacts caused by underground mining activities is a key element in the development of sustainable mining practices and concepts. However, conventional monitoring methods (i.e. ground-based) can be labour intensive, time-consuming and costly when requiring detailed spatial coverage over large areas. Furthermore, field surveys can be challenging to implement in variable terrain and in potentially unsafe or restricted access conditions. Ground-based techniques have been used in several cases to gather detailed subsidence data over localised areas, or hot spots. For instance, Strata Control Technology (SCT), a company engaged in providing solutions to mining geotechnical and strata control problems, has measured ground movements via three dimensional surveying at the Baal Bone, Clarence and Springvale Collieries (Mills, 2001). At Illawarra Coal, a GPS network of control points extending beyond the mining region was used to identify possibl...

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mentioning

confidence: 99%

Application of advanced InSAR techniques to detect vertical and horizontal displacements

Morgan¹,

Raval²,

Macdonald³

et al. 2013

Proceedings of the 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering

View full text Add to dashboard Cite

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A coherence estimation method for multi-temporal D-InSAR deformation monitoring in coal mining areas

Cited by 1 publication

References 5 publications

Application of advanced InSAR techniques to detect vertical and horizontal displacements

Application of advanced InSAR techniques to detect vertical and horizontal displacements

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