Application of Unmanned Aerial Vehicle Data and Discrete Fracture Network Models for Improved Rockfall Simulations

Application of Unmanned Aerial Vehicle Data and Discrete Fracture Network Models for Improved Rockfall Simulations

In this research, we present a new approach to define the distribution of block volumes during rockfall simulations. Unmanned aerial vehicles (UAVs) are utilized to generate high-accuracy 3D models of the inaccessible SW flank of the Mount Rava (Italy), to provide improved definition of data gathere...

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Bibliographic Details
Main Authors: Mirko Francioni, Federico Antonaci, Nicola Sciarra, Carlo Robiati, John Coggan, Doug Stead, Fernando Calamita
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle data
rockfall simulation
discrete fracture network models
nonuniform distribution of block volumes
Online Access:https://www.mdpi.com/2072-4292/12/12/2053

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