F
Fabio Radicioni
Researcher at University of Perugia
Publications - 48
Citations - 570
Fabio Radicioni is an academic researcher from University of Perugia. The author has contributed to research in topics: Landslide & Multispectral image. The author has an hindex of 10, co-authored 45 publications receiving 463 citations.
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Journal ArticleDOI
Coseismic and initial post-seismic slip of the 2009 Mw 6.3 L'Aquila earthquake, Italy, from GPS measurements
Daniele Cheloni,Nicola D'Agostino,Elisabetta D'Anastasio,Antonio Avallone,S. Mantenuto,R. Giuliani,M. Mattone,Stefano Calcaterra,Piera Gambino,Donatella Dominici,Fabio Radicioni,Guido Fastellini +11 more
TL;DR: In this article, the authors report the preliminary results of GPS data inversions for coseismic and initial afterslip distributions of the Mw 6.3 2009 April 6 L'Aquila earthquake.
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Contemporary crustal extension in the Umbria–Marche Apennines from regional CGPS networks and comparison between geodetic and seismic deformation
Nicola D'Agostino,S. Mantenuto,Elisabetta D'Anastasio,Antonio Avallone,Massimiliano Rinaldo Barchi,Cristiano Collettini,Fabio Radicioni,Aurelio Stoppini,Guido Fastellini +8 more
TL;DR: In this paper, a GPS velocity field in the Umbria-Marche Apennines (central Italy) was obtained from the integration of diverse geodetic networks, showing a high degree of consistency both spatially and in terms of comparison with independent information, despite the limited time span of some GPS stations.
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Measuring rill erosion by laser scanning
TL;DR: In this article, the results of a field investigation on the rill morphology and the corresponding soil loss, using a Terrestrial Laser Scanner (TLS), at the Masse experimental station (Umbria, Central Italy), were reported.
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Using C/X-band SAR interferometry and GNSS measurements for the Assisi landslide analysis
Fabio Bovenga,Davide Oscar Nitti,Gianfranco Fornaro,Fabio Radicioni,Aurelio Stoppini,Raffaella Brigante +5 more
TL;DR: In this paper, the high-resolution X-band acquired on both ascending and descending tracks by the COSMO-SkyMed CSK constellation was processed and the resultant displacement fields show good agreement with C-band and GNSS measurements and a sensible increase in the density of measurements.
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A smartphone camera for the structure from motion reconstruction for measuring soil surface variations and soil loss due to erosion
TL;DR: In this article, the suitability of a smartphone camera for the structure from motion (SfM) reconstruction for monitoring variations in soil surface characteristics and soil loss originated by a low intensity erosive event was evaluated.