Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/12364
Authors: De Beni, Emanuela* 
Cantarero, Massimo* 
Messina, Alfio* 
Title: UAVs for volcano monitoring: A new approach applied on an active lava flow on Mt. Etna (Italy), during the 27 February–02 March 2017 eruption
Journal: Journal of Volcanology and Geothermal Research 
Series/Report no.: /369 (2019)
Issue Date: 2019
DOI: 10.1016/j.jvolgeores.2018.12.001
Keywords: Etna
Lava flow
Photogrammetry
UAV survey
Structure from Motion
Photogrammetry
DEM
Volume calculation
Subject Classification04.08. Volcanology 
Abstract: Mt. Etna (Italy)with 55 effusive events in the last six years is one of themost active volcanoes in theworld,with a million people living on its flank and thousands of tourists who visit it every summer. For this reason, the lava flowmonitoring for riskmitigation and Civil Protection purposes is one of the fundamental tasks of the Cartographic Laboratory of the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo. This activity was traditionally performed using data collected from the field (with terrestrial GPS surveys) and from helicopter taking visible and thermal images. During the 27 February–02 March 2017 eruption the FlyEye Team, applied Unmanned Aerial Vehicles to monitor the active lava flow. Two high-resolution UAV surveys were performed on the lava flow field on the south flank of Mt. Etna, between 3050 and 2600 m a.s.l., obtaining almost 1170 images. Structure-from-Motion techniques were applied to create orthophotos and Digital Elevation Models (DEM) of the lava flowfield and surroundings. The obtained DEMhas a resolution of 14.2, and 20.7 cm/px for the main lava flow and the west branch, respectively. On the wall, the 96% of the lava flow field was mapped using aerial images by UAV covering an area of 0.3 × 106 m2. Lava flow volume was calculated with the topographic approach: difference between post- and pre-eruption surface, DEM 2017 and DEM 2014, respectively. The impossibility of spreading the GCPs homogenously distorted the resulting DEM; for this reason, it was necessary to align the lava flow point clouds, obtained from the photogrammetry software, to the basal 2014 DEM. Subtracting the two DEMs a lava flow thickness grid resulted leading to a total volume of 1.4 × 106 m3 and an error estimation of about 20%. Finally, dividing the total volume for the effusion duration (63 h) a mean output rate of 6.2 m3/s resulted. The calculated volcanological parameters have the same order of magnitude of the previous activity ofMt. Etna, between 2011 and 2016. This research demonstrates thatUAV photogrammetry was successfully exploited during an eruptive crisis, allowing a first fast processing, to obtain an orthophoto of the lava flow field, useful for “decision makers” and a further slower processing for the realization of a highresolution DEM. The lattermakes it possible to update the topography, another important argument for Civil Protection purpose. This paper describes a methodology that could be applied during other natural events in extreme environmental conditions.
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