Retrieving Surface Deformation of Mining Areas Using ZY-3 Stereo Imagery and DSMs

Measuring surface deformation is crucial for a better understanding of spatial-temporal evolution and the mechanism mining-induced deformation, thus effectively assessing mining-related geohazards, such as landslides or damage to infrastructures. This study proposes method retrieving by combining multi-temporal digital models (DSMs) with image homonymous features using China’s ZY-3 satellite stereo imagery. DSM generated from three-line-array images rational function model (RFM) imaging geometric model. Then, elevation changes in are extracted difference DSMs acquired at different times, while planar displacements calculated orthographic maps (DOMs). Scale invariant feature transform (SIFT) points line band descriptor (LBD) lines selected two kinds salient generation. Cross profiles also typical regions. Four sets imagery 2012 2022 used extraction analysis Fushun coalfield China, where quite distinct coupled rising descending together. The results show that 21.60% area was deformed 2017, decline 2017 meant 17.19% 95% confidence interval. Moreover, ratio reduced 6.44% between 2022, which lower than ratios other years. slip west open pit mine about 1.22 km2 displacement on south slope large, reaching an average 26.89 m sliding north bottom but elevations increased 16.35 m, involving 0.86 due restoration pit. demonstrate more quantitative specific can be retrieved mining areas derived