Commercial-UAV-based structure from motion for geological and geohazard studies

• Main Authors: Bonali F. L., Corti N., Russo E., Marchese F., Fallati L., Pasquare Mariotto F., Tibaldi A.
• Other Authors: Bonali, FL, Pasquaré Mariotto, F, Tsereteli, N, Bonali, F, Corti, N, Russo, E, Marchese, F, Fallati, L, Pasquare Mariotto, F, Tibaldi, A
• Format: Book Part
• Language: English
• Published: Springer Netherlands 2021
• Subjects: Caucasu; Geohazard; Iceland; Structure from motion; Tectonic; UAV or drone; GEO/03 - GEOLOGIA STRUTTURALE
• Online Access: http://hdl.handle.net/10281/305257; https://doi.org/10.1007/978-94-024-2046-3_22

In the present work we applied the use of the UAV-based Structure from Motion technique (SfM) to geological and geohazard studies, with emphasis placed on active tectonics and volcano-tectonics cases. Our aim is to obtain high-resolution orthomosaics and Digital Surface Models (DSMs) in two study areas: the Theistareykir Fissure Swarm within the Northern Volcanic Zone (NVZ) of Iceland and the active Khoko landslide, Enguri reservoir, in the Greater Caucasus, Georgia. The first is affected by seismic and volcanic hazard, the second by landslide and hydrogeological hazard. Regarding the NVZ, by analysing the resulting Orthomosaics and DSMs we collected a total of 453 quantitative measurements of the amount of opening and opening direction of Holocene extension fractures and 36 measurements of the height of fault scarps. These data allowed us to assess an overall spreading direction of N106.4° during Holocene times within the studied rift zone, which has been compared with geodetic motion vectors, and a stretching ratio of 1.013–1.017 for 8–10ka old lava units. We conclude that deformation in the area is related to both dyke intrusions and extensional tectonics. In the Greater Caucasus, we applied the method to identify the main geomorphological features related to the Khoko landslide and to measure the scarp height of the principal slip surfaces, in order to improve geomorphological knowledge of the landslide, and contribute to the assessment of the hydrogeological hazard of the area. At a general level, our results suggest that the use of UAV-based SfM is a convenient and efficient way to collect plenty of data aimed at better assessing geohazards in areas prone to catastrophic natural phenomena like earthquakes, volcanic eruptions and landslides.