• Repeated Pléiades Neo images can be used to effectively monitor RGV in remote areas. • Multitemporal block adjustment provides robust co-registration of images at a sub-pixel level. • Surface velocity errors can achieve one-third of the native pixel level. • Tristereo Pléiades Neo images provide accurate topography reconstruction from a single acquisition. The Pléiades Neo (PNEO) constellation, deployed in 2021 and conceived for both civilian and military applications, can be utilised to monitor ground deformation in remote periglacial environments due to its exceptionally high spatial resolution and tasking capabilities. In this study, we demonstrate the potential of utilising PNEO to derive Rock Glacier Velocity (RGV) with exceptionally high detail from repeated image acquisitions. We processed tristereo images acquired in February 2023 and March 2024 over an area of 50 km 2 in the Dry Andes (Chile), resulting in one high-resolution digital elevation model and three orthorectified images for each acquisition. By using a feature tracking algorithm, we were able to gather the uncertainty on different combinations of the tristereo images over a stable area. Our results indicate a high consistency in the velocity vectors with mean RGV values between 0.90 to 0.25 m/year. The high granularity of the derived flow field means that yearly RGV monitoring in remote regions using high resolution optical images from the PNEO sensor is now a viable option.
Vivero et al. (2026) studied this question.