Articles | Volume 17, issue 12
Brief communication
04 Dec 2017
Brief communication |  | 04 Dec 2017

Brief communication: Landslide motion from cross correlation of UAV-derived morphological attributes

Maria V. Peppa, Jon P. Mills, Phil Moore, Pauline E. Miller, and Jonathan E. Chambers


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish as is (25 Oct 2017) by Daniele Giordan
AR by M. V. Peppa on behalf of the Authors (31 Oct 2017)  Author's response   Manuscript 
Short summary
Unmanned aerial vehicles can provide digital elevation models and orthomosaics of high spatio-temporal resolution to enable landslide monitoring. The study examines the additional value that morphological attribute of openness can provide to surface deformation combining with image-cross-correlation functions alongside DEM differencing. The paper demonstrates the automated quantification of a landslide's motion over time with implications for the wider interpretation of landslide kinematics.
Final-revised paper