Landslides are one of the most common and dangerous threats in the world that generate considerable damage and economic losses. An efficient landslide monitoring tool is the Differential Synthetic Aperture Radar Interferometry (DInSAR) or Persistent Scatter Interferometry (PSI). However, Limited to SAR image resolution, the small-scale landslide is often difficult to effectively identify and monitor using PSI technology. The Low-resolution images that dramatically reduces the number of Persistent Scatters (PSs) of the scene limits in practice the application of this technique. Thus, high resolution imagery combined with advance PSI can make possible the application of DInSAR techniques in small-scale landslide monitoring. In this paper, advanced persistent scatterer interferometry has been employed together with 25 super high-spatial resolution TerraSAR-X (TSX) images, staring-spotlight mode, to monitor the FanJiaPing landslide (SanXia, China). The results show that the high-spatial resolution TSX data allows for obtaining much higher densities of PSs compared with a lower-spatial resolution SAR data set (Sentinel-1A in this study). Thanks to the huge amount of valid PSs, the boundaries of the landslide deformation of the FanJiaPing landslide has been highlighted and two different slide units have been identified. The results of this study indicate that the advance PSI together with high-spatial resolution SAR images can be a powerful tool to characterize displacement rates and extension of complex small-scale landslides in challenging areas.