Roberta Boně
Roberta Boně
Department of Earth and Environmental Sciences, University of Pavia
Email verificata su universitadipavia.it
Titolo
Citata da
Citata da
Anno
Twenty-year advanced DInSAR analysis of severe land subsidence: The Alto Guadalentín Basin (Spain) case study
R Boně, G Herrera, C Meisina, D Notti, M Béjar-Pizarro, F Zucca, ...
Engineering Geology 198, 40-52, 2015
422015
From ERS-1/2 to Sentinel-1: Two decades of subsidence monitored through A-DInSAR techniques in the Ravenna area (Italy)
S Fiaschi, S Tessitore, R Boně, D Di Martire, V Achilli, S Borgstrom, ...
GIScience & Remote Sensing 54 (3), 305-328, 2017
292017
Characterisation of hydraulic head changes and aquifer properties in the London Basin using Persistent Scatterer Interferometry ground motion data
R Boně, F Cigna, S Bricker, C Meisina, H McCormack
Journal of Hydrology 540, 835-849, 2016
272016
Methodology for detection and interpretation of ground motion areas with the A-DInSAR time series analysis
R Boně, G Pilla, C Meisina
Remote Sensing 8 (8), 686, 2016
172016
A methodology to detect and characterize uplift phenomena in urban areas using Sentinel-1 data
R Boně, A Bosino, C Meisina, A Novellino, L Bateson, H McCormack
Remote Sensing 10 (4), 607, 2018
132018
Exploitation of satellite A-DInSAR time series for detection, characterization and modelling of land subsidence
R Boně, C Meisina, F Cigna, G Herrera, D Notti, S Bricker, H McCormack, ...
Geosciences 7 (2), 25, 2017
122017
Groundwater and subsidence modeling combining geological and multi-satellite SAR data over the alto guadalentín aquifer (SE Spain)
P Ezquerro, C Guardiola-Albert, G Herrera, JA Fernández-Merodo, ...
Geofluids 2017, 2017
122017
Landslide state of activity maps by combining multi-temporal A-DInSAR (LAMBDA)
R Boně, M Bordoni, A Colombo, L Lanteri, C Meisina
Remote sensing of environment 217, 172-190, 2018
92018
A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations
M Bordoni, R Boně, A Colombo, L Lanteri, C Meisina
Catena 163, 89-110, 2018
52018
Residual mechanisms and kinematics of the relict Lemeglio coastal landslide (Liguria, northwestern Italy)
A Cevasco, F Termini, R Valentino, C Meisina, R Boně, M Bordoni, ...
Geomorphology 320, 64-81, 2018
32018
Integration of multi-sensor A-DInSAR data for landslide inventory update
R Boně, M Bordoni, C Meisina, A Colombo, L Lanteri
Workshop on World Landslide Forum, 133-142, 2017
32017
Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
R Boně, G Herrera, C Meisina, D Notti, M Béjar-Pizarro, F Zucca, ...
Copernicus Publications, 2015
22015
3D groundwater flow and deformation modelling of Madrid aquifer
R Boně, C Meisina, P Teatini, F Zucca, C Zoccarato, A Franceschini, ...
Journal of Hydrology, 124773, 2020
12020
Advances and Practices on the Research, Prevention and Control of Land Subsidence in Coastal Cities
X Yan, T YANG, Y Xu, L Tosi, E Stouthamer, H Andreas, P Minderhoud, ...
Acta Geologica Sinica‐English Edition 94 (1), 162-175, 2020
12020
3D Geological model reconstruction for liquefaction hazard assessment in the Po Plain
C Meisina, R Boně, M Bordoni, CG Lai, A Famŕ, F Bozzoni, RM Cosentini, ...
Proceedings 7th International Conference on Earthquake Geotechnical …, 2019
12019
PSI-based methodology to land subsidence mechanism recognition
R Boně, C Meisina, C Perotti, F Fenaroli
Proceedings of the International Association of Hydrological Sciences 372, 357, 2015
12015
An inter-disciplinary and multi-scale approach to assess the spatial variability of ground motion for seismic microzonation: The case study of Cavezzo municipality in Northern …
CG Lai, V Poggi, A Famŕ, E Zuccolo, F Bozzoni, C Meisina, R Boně, ...
Engineering Geology, 105722, 2020
2020
Assessment of the Sentinel-1 based ground motion data feasibility for large scale landslide monitoring
R Boně, M Bordoni, V Vivaldi, C Troisi, M Tararbra, L Lanteri, F Zucca, ...
LANDSLIDES, 2020
2020
Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series
R Boně, C Meisina, L Poggio, A Fontana, G Tessari, P Riccardi, M Floris
Proceedings of the International Association of Hydrological Sciences 382 …, 2020
2020
Understanding the dynamic behaviour for the Madrid aquifer (Spain): insights from the integration of A-DInSAR and 3-D groundwater flow and geomechanical models
R Boně, C Meisina, P Teatini, F Zucca, C Zoccarato, A Franceschini, ...
Copernicus Publications, 2020
2020
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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