Back to Search
Start Over
Mining large-gradient subsidence monitoring using D-InSAR optimized by GNSS.
- Source :
-
Imaging Science Journal . Feb-Jun2021, Vol. 69 Issue 1-4, p207-218. 12p. - Publication Year :
- 2021
-
Abstract
- In the process of developing mine resources, mining subsidence is inevitable. The D-InSAR (differential interferometric synthetic aperture radar) technology has been widely used to monitor large-scale ground subsidence in mining areas in recent years. However, the limitations of this technology mean that large-gradient ground subsidence cannot be monitored. This paper describes a weighted total least-squares method that can be used to determine the piecewise linear mapping between GNSS (global navigation satellite system) data and D-InSAR data. This mapping can be applied to optimize the conventional D-InSAR monitoring results, particularly in large-gradient subsidence areas, enabling the mining subsidence to be comprehensively evaluated. The proposed method is used to extract the surface subsidence information for a certain area of the Sihe mine in Shanxi Province, China. It is found that the optimized data is more reliable and accurate than the conventional D-InSAR monitoring data in the case of large-gradient subsidence. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13682199
- Volume :
- 69
- Issue :
- 1-4
- Database :
- Academic Search Index
- Journal :
- Imaging Science Journal
- Publication Type :
- Academic Journal
- Accession number :
- 162174410
- Full Text :
- https://doi.org/10.1080/13682199.2022.2156667