Landslide strain using multi-temporal LiDAR data

This study highlights patterns of surface deformation derived from multi-temporal UAV-lidar and structure from motion (SfM) surveys of a translational and a rotational landslide. This approach quantifies volume changes, translational strain, and rotational components of landslides, revealing unique kinematic signatures for each landslide type. This detailed characterization of strain localization provides direct evidence of the mechanisms governing landslide behavior, and advances the interpretation of slope instability, hazard assessment and risk management.

Picture caption: Johnson, S.E., Zhu, Y., Dortch, J., Haneberg, W. C, 2025, Quantifying Landslide Strain Localization Phenomena using Tensor Analysis of Multi-Temporal LiDAR Data. Submitted to Landslides.