Abstract
Abstract. Recognition and extraction of mining ground deformation can help us understand the deformation process and space distribution, and estimate the deformation laws and trends. This study focuses on the application of ground deformation detection and extraction combining with high resolution visible stereo imagery, LiDAR observation point cloud data and historical data. The DEM in large mining area is generated using high-resolution satellite stereo images, and ground deformation is obtained through time series analysis combined with historical DEM data. Ground deformation caused by mining activities are detected and analyzed to explain the link between the regional ground deformation and local deformation. A district of covering 200 km2 around the West Open Pit Mine in Fushun of Liaoning province, a city located in the Northeast China is chosen as the test area for example. Regional and local ground deformation from 2010 to 2015 time series are detected and extracted with DEMs derived from ZY-3 images and LiDAR point DEMs in the case study. Results show that the mean regional deformation is 7.1 m of rising elevation with RMS 9.6 m. Deformation of rising elevation and deformation of declining elevation couple together in local area. The area of higher elevation variation is 16.3 km2 and the mean rising value is 35.8 m with RMS 15.7 m, while the deformation area of lower elevation variation is 6.8 km2 and the mean declining value is 17.6 m with RMS 9.3 m. Moreover, local large deformation and regional slow deformation couple together, the deformation in local mining activities has expanded to the surrounding area, a large ground fracture with declining elevation has been detected and extracted in the south of West Open Pit Mine, the mean declining elevation of which is 23.1 m and covering about 2.3 km2 till 2015. The results in this paper are preliminary currently; we are making efforts to improve more precision results with invariant ground control data for validation.
Highlights
As affected by mining disturbance, surface or ground deformation appears various forms including ground subsidence, collapse, slope sliding, buildings and landscape position changes etc
digital elevation model (DEM) extraction process with ZY-3's three-line-array images is mainly finished in ERDAS IMAGE 2013 using the LPS tool, and LiDAR DEMs are derived from the scanning point clouds
After co-registration of spatial resolution and location, all the DEMs from ZY-3 images are compared with ASTER GDEM which is used as a reference
Summary
As affected by mining disturbance, surface or ground deformation appears various forms including ground subsidence, collapse, slope sliding, buildings and landscape position changes etc. Local large deformation and regional slow deformation couple together. In order to predict and prevent the damages or disasters caused by ground deformation, it is necessary to monitor ground deformation process in high-resolution, good accuracy and small time intervals. For the characteristics of periodic observation, wide coverage and higher plane positioning accuracy, high-resolution satellite remote sensing visible images can be used as data resource to detect the regional large deformation.
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