Delineating minor landslide displacements using GPS and terrestrial laser scanning-derived terrain surfaces and trees: a case study of the Slumgullion landslide, Lake City, Colorado

Abstract

Multi-temporal high-density terrestrial laser scanning (TLS) datasets are processed to delineating possible movements from terrain surfaces and trees. Terrain surface movements are estimated with the help of segmentation and random sample consensus (RANSAC) algorithm. Tree movements are interpreted by iterative closest point (ICP) solved translations and rotations of tree point clouds. The capabilities of the proposed methodology were tested using a case study of the Slumgullion landslide, where the trees without clear trunks cover the terrain surfaces. The displacements from the terrain surfaces and trees are similar with the results observed using our global positioning system (GPS) and historic results.

Keywords:

• Terrestrial laser scanning
• Slumgullion landslide
• Terrain surface
• Tree movements
• RANSAC
• GPS

ORCID

Jin Wang http://orcid.org/0000-0002-1531-0912

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 41801380]; Natural Science Foundation of Beijing Municipality: [Grant Number 8174062]; Postdoctoral Research Foundation of China: [Grant Number 200877].