Abstract
This study investigates the potential of geomorphic filters derived from LiDAR 2-m grid DEMs to identify landslide features. The filters, slope and the eigenvalue ratio, were derived from the DEM for 6 landslides as well as two 0. 1 km2 areas where no landslides were identified. Field survey was also conducted to investigate their surface conditions. Results highlighted the importance of filters in characterising landslide features as well as the various stages in their development and activity. The relationships expressed between filter values and landslides are a reflection of the hardness of underlying rocks.
