A new technique for the detection of large scale landslides in glacio-lacustrine deposits using image correlation based upon aerial imagery: A case study from the French Alps

Abstract

Landslide monitoring has benefited from recent advances in the use of image correlation of high resolution optical imagery. However, this approach has typically involved satellite imagery that may not be available for all landslides depending on their time of movement and location. This study has investigated the application of image correlation techniques applied to a sequence of aerial imagery to an active landslide in the French Alps. We apply an indirect landslide monitoring technique (COSI-Corr) based upon the cross-correlation between aerial photographs, to obtain horizontal displacement rates. Results for the2001-2003 time interval are presented, providing a spatial model of landslide activity and motion across the landslide, which is consistent with previous studies. The study has identified areas of new landslide activity in addition to known areas and through image decorrelation has identified and mapped two new lateral landslides within the main landslide complex. This new approach for landslide monitoring is likely to be of wide applicability to other areas characterised by complex ground displacements.

Landslide Mapping and Monitoring Using Persistent Scatterer Interferometry (PSI) Technique in the French Alps

“…Besides this, there are also high-resolution optical images analyzed for the landslide of the Tunnel du Chambon in the French Alps by Desrues et al, [50] who have shown the potential landslide failure. Another large-scale landslide of Harmaliere and new movements and slope deformations around it quantified using aerial photography and image correlation [51,52] reported creeping behavior and transient motion as well as a precursory pattern before failure for the Harmalière case study using freely available Sentinel-2 optical images. The review paper by Delacourt et al [2] provides the techniques of image analysis to measure the displacement on the slopes with the case studies in French South Alps.…”

Slope deformation detection using subpixel offset tracking and an unsupervised learning technique based on unmanned aerial vehicle photogrammetry data

“…It should be noted that a large range of decorrelation and SP effect areas often correspond to a strong surface change such that the sPOT algorithm cannot calculate any appreciable correlation within a limited window. In some studies (Fernandez & Whitworth, 2016; Hermle et al, 2021; Turner et al, 2015), researchers have observed that the decorrelation areas are distributed at the scarp or foot of the slope, as these areas underwent severe displacement due to collapse or accumulation of the landslide. However, this possibility does not seem to apply to this study.…”

Reconstruction and Characterisation of Past and the Most Recent Slope Failure Events at the 2021 Rock-Ice Avalanche Site in Chamoli, Indian Himalaya

“…We observed the available images of these [41] is an efficient tool to estimate surface deformations and mass movements through the correlations between temporal images, even in the absence of groundcontrol points (GCPs). COSI-Corr was conclusively established in estimating the motion in mass movements [43,[65][66][67][68], glaciers [44], and sand dunes [69], with the relative accuracy of co-registration and correlation up to ~1/20th of a pixel [41]. Thus, there were two prime objectives for us to assess the flow characteristics of SF1.…”