The aim of obtaining a continuous space distribution of mining-induced subsidence in a large scale, damage intensity,
and its dynamic evolution, furthermore understanding the rule of the subsidence, is extracts finally the surface movement
parameters of the mining-induced subsidence. Using 9 issues of ENVISAT ASAR data over 2009 year and by both of DInSAR
processing algorithms, an atmospheric effect can eliminate and real subsidence region can be determined by a
cumulative phase 2 PASS D-InSAR, and a temporal decoherence effect can be reduced and each stage deformation can
be extracted by an adjacent phase 2 PASS D-InSAR.
Results are as follows: (1) 8 phase variation regions according with the criterion of mining subsidence are extracted from
70 phase variation regions with the two methods of D-InSAR. (2) 16 main profiles (along with the strike, dip) of
subsidence contained in 8 typical subsidence basins are obtained. Annual maximum subsidence reaches -210.0mm
during the period of image acquisitions, from Jan. to Sep. 2009, the maximum rate is ±1.2 mm/d, and the average daily
subsidence rate is ±0.60mm/d. (3) Sampling the minimum Standard Deviation（SD） is ± 4.3 mm, maximum SD is ±
8.1mm, and the total SD Mean is ± 5.9mm. Root Mean Square Error (RMSE) of data processing is ± 0.41 mm, the
maximum RMSE is ± 0.74 mm, total average RMSE of observations is ± 0.55mm.
The monitoring accuracy is self-consistent at sub-centimeter level, and it can reveal the rule of mining subsidence and
extract partly parameters of mining damage. The result presents also that mine surface by the impact of mining activities
are frequent and severe, deterioration of surface stability, and the risk of collapse, slip or mudslides is higher than outside