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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\udmining area is generated using high-resolution satellite stereo images, and ground deformation is obtained through time series\udanalysis combined with historical DEM data. Ground deformation caused by mining activities are detected and analyzed to explain\udthe link between the regional ground deformation and local deformation.\udA district of covering 200 km2 around the West Open Pit\udMine 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\udmean regional deformation is 7.1 m of rising elevation with RMS 9.6 m.\udDeformation of rising elevation and deformation of declining elevation couple together in local area. The area of higher elevation\udvariation 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\uddeclining elevation has been detected and extracted in the south of West Open Pit Mine, the mean declining elevation of which is\ud23.1 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

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

GROUND DEFORMATION EXTRACTION USING VISIBLE IMAGES AND LIDAR DATA IN MINING AREA