Monthly Archives: June 2019

New publication: Object-based point cloud analysis for landslide and erosion monitoring

A new paper in the journal Photogrammetric Engineering & Remote Sensing presents methods for landslide and erosion monitoring based on terrestrial laser scanning point clouds. The 3D approach combines deformation detection and a geomorphological object classification automatically. This enhances the analysis and interpretability of a point cloud time series for erosion and landslide assessment.

Mayr, A.; Rutzinger, M.; Geitner, C. (2019): Object-based point cloud analysis for landslide and erosion monitoring. Photogrammetric Engineering & Remote Sensing, 85 (6), 455 – 462.

The following figure shows some example results obtained with the presented approach:

Left: Cumulative mean 3D deformation per class for a shallow landslide (calculated with a constant registration error parameter reg = 0.1 m), pointing to two time steps with pronounced changes at the landslide scarp. Right: Having a closer look at the first time step shows scarp erosion and the deposition of some dislocated scarp fragments), with (a) a 3D view of the second point cloud epoch coloured by mean deformation per object, (b) transect coloured by mean deformation per object, (c) transect overlaying the points of both epochs coloured by their class labels.