This study presents a successful combination of different remote sensing data used in a long-term retrospective investigation of a large and destructive deep-seated, slow-moving landslide reactivated on 16 July 2015 in Devrek District (Zonguldak, Turkey). To this aim, Synthetic Aperture Radar (SAR) data were used for Interferometric SAR (InSAR) time-series analysis together with unmanned aerial vehicle (UAV) images and aerial photographs for digital photogrammetric analysis. The SAR dataset was divided into three sub-periods: 1) 1992–2001 for ERS-1 and ERS-2 satellites; 2) 2003–2010 for Envisat ASAR; and 3) 2014–2015 for Sentinel-1. Persistent Scatterers Interferometry (PSI) was applied for each sub-period. In total, 20 aerial photographs, dating from as early as 1944, were obtained, along with data from a UAV flight mission conducted on 23 June 2018. The historical aerial photographs revealed that the region has had a landslide problem since the 1940s. Between 1944 and 2018, a noticeable expansion of the settlement area towards the toe of the landslide was also observed. Aerial photographs (1984 and 2011) and UAV images (2018) were used to map landslide deformations using the M3C2 algorithm. Due to the high number of modelling errors, the 1984 and 2011 aerial photographs did not allow mapping of the landslide deformations. However, it was possible to determine them for the periods of 2011 and 2018. The M3C2 results between 2011 and 2018 were also compared to the PSI results, which were quite compatible with those obtained via photogrammetric methods. Moreover, two orthophotos belonging to 2011 and 2018 were used to reveal the horizontal displacement of buildings caused by the landslide. As a result, the complete investigation of the landslide performed in this study may serve to facilitate additional plans and strategies for prevention and mitigation of potential reactivations in the future.

这项研究提出了不同遥感数据的成功组合，这些数据用于对2015年7月16日在德雷克区（土耳其宗古达克）重新活化的大型破坏性深部缓慢移动滑坡进行的长期回顾研究中。为此，将合成孔径雷达（SAR）数据用于干涉SAR（InSAR）时间序列分析，并将无人机（UAV）图像和航空照片用于数字摄影测量分析。SAR数据集分为三个子时期：1）1992–2001年用于ERS-1和ERS-2卫星；2）2003-2010年，用于Envisat ASAR；和3）2014-2015年的Sentinel-1。持久散射体干涉测量法（PSI）用于每个子周期。总共获得了20张可追溯到1944年的航空照片，连同于2018年6月23日进行的无人机飞行任务的数据。历史航空照片显示，该地区自1940年代以来一直存在滑坡问题。在1944年至2018年之间，还观察到定居区向滑坡趾的明显扩展。航空照片（1984年和2011年）和无人机图像（2018年）用于使用M3C2算法绘制滑坡变形图。由于大量的建模误差，1984年和2011年的航拍照片不允许绘制滑坡变形图。但是，可以确定2011年至2018年的时间。还将2011年至2018年之间的M3C2结果与PSI结果进行了比较，这与通过摄影测量方法获得的结果完全兼容。此外，使用了两个分别属于2011年和2018年的正射影像来揭示由滑坡引起的建筑物的水平位移。结果，在这项研究中对滑坡进行的全面调查可能有助于促进其他计划和策略，以预防和减轻将来的潜在活化。