Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/12439
Authors: Ganci, Gaetana* 
Cappello, Annalisa* 
Zago, Vito* 
Bilotta, Giuseppe* 
Hérault, Alexis* 
Dal Negro, Ciro* 
Title: 3D Lava flow mapping of the 17-25 May 2016 Etna eruption using tri-stereo optical satellite data
Issue Date: Nov-2018
Series/Report no.: /61(2018)
DOI: 10.4401/ag-7875
URI: http://hdl.handle.net/2122/12439
Abstract: During basaltic eruptions, the average rate at which lava is erupted (effusion rate) is one of the most important factors controlling the evolution, growth and extent of the flow field. This has implications both for forecasting purposes, highlighting the importance of the effusion rate as input parameter of physics-based numerical models, and to advance knowledge on the shallow feeder system by constraining the supplied mass. Satellite remote sensing provides a mean to estimate the average effusion rate by applying a direct conversion from the measured radiant heat loss by an active lava flow. This conversion relies on a set of parameters of lava (e.g. rock density, heat capacity, vesicularity, emissivity, etc.) and suffers of multiple sources of uncertainties and measurements errors, whose quantification is still an open problem. Here we constrain the volume of lava emitted at Mt Etna on 17-25 May 2016 and emplaced out of the summit craters, by using preeruptive and post eruptive digital elevation models (DEMs) obtained processing satellite images acquired by the Pléiades constellation, which provides images at 50 cm resolution in stereo and tristereo mode. The 3D processing of the tri-stereo Pléiades imagery (acquired on 24 December 2015 and 18 July 2016), performed using the free and open source MicMac photogrammetric library, provides estimations of the distribution of thickness and the bulk volume emitted. The integration of multi-platform remote sensing products represents a new potential of merging capabilities to enable a more comprehensive response to effusive crises.
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