ICGCM Papers:
Subsidence and Slope Stability
 
 
Comparison of L-Band and X-Band Differential Interferometric Synthetic Aperture Radar for Mine Subsidence Monitoring in Central Utah
35th International Conference on Ground Control in Mining
Comparison of L-Band and X-Band Differential Interferometric Synthetic Aperture Radar for Mine Subsidence Monitoring in Central Utah
by
Jessica M WempenMichael K Mccarter, University of Utah, Salt Lake City, United States
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[Conference] 35th International Conference on Ground Control in Mining
[Price] Free  [Comments] 0
[Topical Area] Subsidence and Slope Stability
[Author] Jessica M WempenMichael K Mccarter, University of Utah, Salt Lake City, United States
[Abstract] 
Key Conclusions:
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DInSAR can be an effective technique for identifying areas affected by subsidence. Using either L-band or X-band DInSAR, subsided regions often identifiable; subsidence magnitudes are not always measurable. In general, L-band is relatively stable over relatively long periods (months). X-band is more strongly affected by temporal decorrelation due to surface and atmospheric variation, but X-band data are sensitive to very small surface deformations and can be used to identify subsided areas over very short periods (days).
Key Findings:
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In the central Utah mining region, which is characterized by steep terrain and variable ground cover conditions, regions of subsidence can be identified by both L-band and X-band DInSAR. Generally, L-band data are less affected by signal saturation, due to large deformation gradients, and by temporal decorrelation, and L-band data tend to be more stable over longer periods.
Objective of the Paper:
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This study compares the characteristics and effectiveness of DInSAR for subsidence monitoring of a longwall mine in central Utah using L-band (24 cm wavelength) data from the Advanced Land Observing Satellite (ALOS) and X-band (3 cm wavelength) data from the TerraSAR-X mission.
Problem Statement:
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Differential Interferometric Synthetic Aperture Radar (DInSAR), a satellite based remote technique, has the potential to measure subsidence on a regional mining scale with high spatial and temporal resolution. However, the characteristics of Synthetic Aperture Radar (SAR) data and the effectiveness of DInSAR for subsidence monitoring depend on the radar wavelength (band).