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Your search keyword '"Spreafico, Margherita C."' showing total 8 results
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8 results on '"Spreafico, Margherita C."'

2. Integrated 3D geological and Finite Element modeling of slow rock-slope deformations affecting hydropower facilities

Author

Agliardi, Federico, primary, Carnevale, Antonio, additional, Andreozzi, Matteo, additional, Bistacchi, Andrea, additional, Spreafico, Margherita C., additional, Franzosi, Federico, additional, Crippa, Chiara, additional, Ceriani, Massimo, additional, Rivolta, Carlo, additional, Crosta, Giovanni B., additional, and Castellanza, Riccardo, additional

Published
2022
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8. Intact rock bridge breakage and rock mass fragmentation upon failure: quantification using remote sensing techniques

Author

Gabriele Bitelli, Monica Ghirotti, Lisa Borgatti, Margherita Cecilia Spreafico, Francesca Franci, Spreafico, Margherita C., Franci, Francesca, Bitelli, Gabriele, Borgatti, Lisa, and Ghirotti, Monica

Subjects
010504 meteorology & atmospheric sciences, UAV, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, Bridge (interpersonal), rock bridge, Rock bridges, Breakage, Computers in Earth Science, Rock bridges, Fragmentation, Terrestrial Laser Scanner, UAV, Spectral information, Object based classification, fragmentation, Earth and Planetary Sciences (miscellaneous), Geotechnical engineering, object-based classification, Computers in Earth Sciences, Rock mass classification, terrestrial laser scanner, Engineering (miscellaneous), 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Fragmentation (computing), Ambientale, Computer Science Applications1707 Computer Vision and Pattern Recognition, Computer Science Applications, Object based classification, Remote sensing (archaeology), spectral information, Geology
Abstract

In this work, two processes related to the onset and the evolution of large-scale rockfalls have been analysed by means of remote sensing techniques. First, the number of rock bridges as a proportion of pre-existing fractures has been estimated in a newly formed landslide scarp by analysing the spectral information of the rock mass in terrestrial laser scanner (TLS) and unmanned aerial vehicle (UAV) photogrammetric point clouds. Second, the fragmentation of the rock mass after failure has been assessed by comparing the percentage of newly formed fractures in the scarp and in the deposit. For this purpose, an orthophoto of the landslide deposit was classified using an object-based method. The presented workflow gained new data on the intact rock breakage during and after failure, and consequently deepened knowledge about rock failure and fragmentation mechanisms.

Published
2017

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