EGU22-11130, updated on 28 Mar 2022
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

A semiautomated mapping of landslide volume displacements using UAV aerial imagery

Radu Irimia1,2, Ionut Cosmin Sandric1,2, Viorel Ilinca2,3, Zenaida Chitu2,4,5, and Ion Gheuca3
Radu Irimia et al.
  • 1University of Bucharest, Romania, Faculty of Geography
  • 2University of Bucharest, Institute for Research (ICUB)
  • 3Geological Institute of Romania, Caransebeş Street, no. 1, Bucharest, Romania
  • 4National Meteorological Administration, 013686 Bucharest, Romania
  • 5National Institute of Hydrology and Water Management, 013686 Bucharest, Romania

The current study is focused on assessing the spatial and temporal patterns of landslide volume displacements using a semiautomated method and Unmanned Aerial Vehicle (UAVaerial imagery. The case study is located in the Livadea village from Curvature Subcarpathians, Romania, where a landslide was triggered on May 3, 2021. Three separate flights were flown on May 6, May 25, and July 10 using DJI Phantom 4 and Phantom 4 RTK drones. Even though there is a difference in camera resolution, each flight plan was created to correspond to a 4cm/pixel spatial resolution, meaning that the constant height above ground was different between the first flight and the next two flights. For the first flight, because the UAV equipped with the RTK receiver was not available, a graded consumer UAV equipped with a Non-RTK receiver was used. A maximum overlap with the smallest errors possible between all the flights was obtained by orthorectifying the first and the third flights with GCPs collected from the second flight. The method is based on using aerial imagery collected with UAV and their derived products obtained by applying the Structure from Motion (SfM) technique. Because it is an area with dense forest, the Visible Atmospherically Resistant Index (VARI) was used to filter out all the pixels with vegetation from the digital surface models (DSM). The gaps were filled by using the Empirical Bayesian Kriging interpolation method, implemented in ArcGIS Pro. The results show volume displacement rates of 0.005 cubic meters/meter for the period between the first and second flights and 0.05 cubic meters/meter for the period between the second and third flights. The overall displaced volume was approximately 406000 cubic meters with approximately 41000 cubic meters for the period between the first and second flights and approximately 365000 cubic meters between the second and the third flight. This approach proved quick and efficient for assessing landslide volume displacement when fast response and measures are necessary to reduce landslide consequences. 


This work was supported by a grant of the Romanian Ministry of Education and Research, CCCDI - UEFISCDI, project number PN-III-P2-2.1-PED-2019-5152, within PNCDI III (project coordinator Ionuț Șandric, and by the project PN19450103 / Core Program (project coordinator Viorel Ilinca). 

How to cite: Irimia, R., Sandric, I. C., Ilinca, V., Chitu, Z., and Gheuca, I.: A semiautomated mapping of landslide volume displacements using UAV aerial imagery, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11130,, 2022.