Strong earthquakes in mountainous regions can trigger massive landslides, and not just during the period of shaking. This study uses a time series of remote images to better understand the distribution of landslides near the epicenter of the 2008 Wenchuan Ms8.0 earthquake. We use multi-year high-resolution satellite images to interpret landslides and establish landslide inventories spanning from 2008 to 2019. Based on differencing pre-earthquake and post-earthquake digital elevation models (DEMs), we calculate the factor of safety (F_s, i.e., resisting forces versus driving forces) of slopes using a simplified Newmark model. Results show that landslide occurrence highly relies on slope stability, demonstrated by both co-seismic and post-seismic landslide mapping. According to the F_s analysis, which is closely related to the gradual slope change after the earthquake, most slopes within the study area stabilized after the 2008 Wenchuan earthquake, consistent with the decreasing trend of the landslide activity level. However, due to lithologic variation, the changes of post-earthquake slope stability may differ with landscape features in various regions and result in different geologic hazards. Thus, we highlight the necessity of continuous post-seismic monitoring and analysis of slope stability in different affected regions. The results of this work provide useful information for post-seismic infrastructure reconstruction and future earthquake disaster prevention in mountainous areas.

山区发生的强烈地震可能会引发大规模的滑坡，而不仅仅是在晃动期间。这项研究使用时间序列的远程影像来更好地了解2008年汶川Ms8.0地震震中附近的滑坡分布。我们使用多年的高分辨率卫星图像来解释滑坡并建立从2008年到2019年的滑坡清单。基于地震前和地震后数字高程模型（DEM）的差异，我们计算安全系数（F _s，使用简化的Newmark模型来计算坡度（即阻力与驱动力）。结果表明，滑坡的发生高度依赖于边坡的稳定性，这在同震和震后的滑坡测绘中都得到了证明。根据F_s的分析与地震后的坡度逐渐变化密切相关，研究区域内的大多数坡度在2008年汶川地震后都已稳定下来，与滑坡活动水平的下降趋势一致。然而，由于岩性的变化，地震后边坡稳定性的变化可能随不同地区的景观特征而有所不同，并导致不同的地质灾害。因此，我们强调了在不同受影响地区进行地震后连续监测和分析边坡稳定性的必要性。这项工作的结果为山区的地震后基础设施重建和未来的地震灾难预防提供了有用的信息。