Christian Bignami

Dr. Christian Bignami

Istituto Nazionale di Geofisica e Vulcanologia (INGV), National Earthquake Observatory, Rome, Italy
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 October 2012 in Journal of Volcanology and Geothermal Research
Verified
Journal Article
Closed access
NSN. Surono
N. Surono
PJPhilippe Jousset
Philippe Jousset
JPJohn Pallister
John Pallister
MBMarie Boichu
Marie Boichu
MBM. Fabrizia Buongiorno
M. Fabrizia Buongiorno
Franck LavigneFranck Lavigne
Franck Lavigne

15 August 2009 in Geophysical Research Letters
Verified
Journal Article
Closed access
PDF file
SASimone Atzori
Simone Atzori
IHIngrid Hunstad
Ingrid Hunstad
MCMarco Chini
Marco Chini
SSStefano Salvi
Stefano Salvi
CTCristiano Tolomei
Cristiano Tolomei
EBEnzo Boschi
Enzo Boschi

1 October 2006 in International Journal of Remote Sensing
Verified
Journal Article
Closed access
Salvatore StramondoSalvatore Stramondo
Salvatore Stramondo
Christian BignamiChristian Bignami
Christian Bignami
MCMarco Chini
Marco Chini
NPNazzareno Pierdicca
Nazzareno Pierdicca
Andrea TertullianiAndrea Tertulliani
Andrea Tertulliani
In case of a seismic event, a fast and draft damage map of the hit urban areas can be very useful, in particular when the epicentre of the earthquake is located in remote regions, or the main communication systems are damaged. Our aim is to analyse the capability of remote sensing techniques for damage detection in urban areas and to explore the combined use of radar (SAR) and optical satellite data. Two case studies have been proposed: Izmit (1999; Turkey) and Bam (2003; Iran). Both areas have been affected by strong earthquakes causing heavy and extended damage in the urban settlements close to the epicentre. Different procedures for damage assessment have been successfully tested, either to perform a pixel by pixel classification or to assess damage within homogeneous extended areas. We have compared change detection capabilities of different features extracted from optical and radar data, and analysed the potential of combining measurements at different frequency ranges. Regarding the Izmit case, SAR features alone have reached 70% of correct classification of damaged areas and 5 m panchromatic optical images have given 82%; the fusion of SAR and optical data raised up to 89% of correct pixel‐to‐pixel classification. The same procedures applied to the Bam test case achieved about 61% of correct classification from SAR alone, 70% from optical data, while data fusion reached 76%. The results of the correlation between satellite remote sensing and ground surveys data have been presented by comparing remotely change detection features averaged within homogeneous blocks of buildings with ground survey data.

15 July 2017 in Geophysical Research Letters
Verified
Journal Article
Open access
PDF file
Daniele CheloniDaniele Cheloni
Daniele Cheloni
VNVincenzo De Novellis
Vincenzo De Novellis
Matteo AlbanoMatteo Albano
Matteo Albano
AAA. Antonioli
A. Antonioli
Marco AnzideiMarco Anzidei
Marco Anzidei
CDCarlo Doglioni
Carlo Doglioni
We investigate a large geodetic data set of interferometric synthetic aperture radar (InSAR) and GPS measurements to determine the source parameters for the three main shocks of the 2016 Central Italy earthquake sequence on 24 August and 26 and 30 October (Mw 6.1, 5.9, and 6.5, respectively). Our preferred model is consistent with the activation of four main coseismic asperities belonging to the SW dipping normal fault system associated with the Mount Gorzano‐Mount Vettore‐Mount Bove alignment. Additional slip, equivalent to a Mw ~ 6.1–6.2 earthquake, on a secondary (1) NE dipping antithetic fault and/or (2) on a WNW dipping low‐angle fault in the hanging wall of the main system is required to better reproduce the complex deformation pattern associated with the greatest seismic event (the Mw 6.5 earthquake). The recognition of ancillary faults involved in the sequence suggests a complex interaction in the activated crustal volume between the main normal faults and the secondary structures and a partitioning of strain release.

1 February 2010 in Remote Sensing of Environment
Verified
Journal Article
Closed access
NPNazzareno Pierdicca
Nazzareno Pierdicca
LPLuca Pulvirenti
Luca Pulvirenti
Christian BignamiChristian Bignami
Christian Bignami

1 June 2018 in Remote Sensing of Environment
Verified
Journal Article
Closed access
RARoberta Anniballe
Roberta Anniballe
FNFabrizio Noto
Fabrizio Noto
TSTanya Scalia
Tanya Scalia
Christian BignamiChristian Bignami
Christian Bignami
SSSalvatore Stramondo
Salvatore Stramondo
NPNazzareno Pierdicca
Nazzareno Pierdicca