ARCHAEOLOGICAL FEATURE DETECTION FROM ARCHIVE AERIAL PHOTOGRAPHY WITH A SFM-MVS AND IMAGE ENHANCEMENT PIPELINE

Unmanned aerial vehicles can provide digital elevation models and orthomosaics of high spatio-temporal resolution to enable landslide monitoring. The study examines the additional value that morphological attribute of openness can provide to surface deformation combining with image-cross-correlation functions alongside DEM differencing. The paper demonstrates the automated quantification of a landslide's motion over time with implications for the wider interpretation of landslide kinematics.