Abstract: To address the bottlenecks encountered in major engineering works in mountainous regions namely, the difficulty of spatially locating potentially unstable blocks on high and steep rock slope and the insufficiency of quantitative analyses of associated hazard effects. This study proposes an integrated analytical framework combining unmanned aerial vehicle (UAV) photogrammetry, discontinuities interpretation algorithms, three dimensional (3D) kinematic analysis, and rockfall numerical simulation to identify and locate high-elevation potentially unstable blocks, determine their failure modes, and analyze associated hazard effects. Taking the high-elevation rock outcrop on the left bank of the Shuangjiangkou Hydropower Station dam site on the Dadu River as an example, the framework effectively identified 92 potentially unstable blocks and determined that wedge failure is the primary instability mode. The simulated 3D rockfall trajectories show that, after destabilization, the blocks exhibit cyclic acceleration-deceleration trends, with a maximum runout distance of 845.6 m, posing minimal impact on the hydropower hub area. In addition, this study emphasizes the importance of precise spatial localization of unstable blocks for improving rockfall hazard risk prediction accuracy, which has important implications for rockfall disaster prevention and control.