Enabling 3D landslide event statistics using satellite and UAV-enabled topographic differencing
Citation
Zekkos, D., Clark, M., Cowell, K., Medwedeff, W., Manousakis, J., Saroglou, H., Tsiambaos, G. (2024). Enabling 3D landslide event statistics using satellite and UAV-enabled topographic differencing. Landslides, 21. Link to paper
Abstract
Knowledge of landslide volumes is needed to connect landslide trigger, geometry, and mechanism with the mechanical characteristics of the displaced soil and rock masses. However, landslide volume inventories of widespread events are scarce, while increasing availability of high-resolution imagery time-series presents new opportunities for developing volume inventories in terms of scale and resolution. This study presents a novel 3D landslide volume dataset using topographic differencing methods to evaluate the potential for such studies in future hazard and geomorphic research. Remotely sensed stereo optical imagery collected shortly after the 2015 Lefkada Mw6.5 earthquake event in western Greece was used to create two post-event DSM surfaces using Worldview-3 satellite images with the SETSM algorithm and UAV-based optical imagery using Structure from Motion (SfM). The research demonstrates the effectiveness of combining satellite and UAV technologies for comprehensive landslide volume assessment.