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====== Alberto Refice ======
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==== Links: ====

[[https://www.scopus.com/authid/detail.uri?authorId=55948037000| SCOPUS]]

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[[http://scholar.google.it/citations?user=rLtxAE4AAAAJ|Google Scholar]]

[[https://www.mendeley.com/profiles/alberto-refice|Mendeley]]

[[https://www.researchgate.net/profile/Alberto_Refice|ResearchGate]]

[[https://publons.com/author/615478/alberto-refice#profile|Publons]]


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===== Research ======

My research field concerns advanced processing techniques for remotely sensed data, and their applications to the retrieval of information about the Earth surface and to the monitoring of environmental hazards.

I have a background on statistical characterization of both interferometric and polarimetric synthetic aperture radar (SAR), and in the development of algorithm for radar interferometry (InSAR), persistent scatterers interferometry, and, more generally, multi-temporal image time series analysis.

I have experience in GIS and remote sensing integration, and have worked in several projects involving development of applications for satellite data processing and ingestion into geographic data management
tools.

I am involved in several national and international projects on both SAR and optical data analysis, mainly focused on applications to environmental hazard modeling and management, including landslides, subsidence and other surface displacements, and floods.

I am also interested in the development of modeling tools for the interpretation of geomorphological surface processes and landscape evolution.

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===== CV =====

I received the Laurea Degree and the PhD in Physics from the Dipartimento di Fisica, University of Bari, Italy,
in 1994 and 1998, respectively.
I was at the same University as a Post-Doc, and then as a contract Researcher for the next two years.

Permanent Research staff at CNR (Consiglio Nazionale delle Ricerche) since 2001, 
I am presently with CNR - IREA (Istituto per il Rilevamento Elettromagnetico dell'Ambiente) 
as a Researcher.

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===== Recent publications =====

  * R. Colacicco , A. Refice, R. Nutricato, F. Bovenga, G. Caporusso, A. D’Addabbo, M. La Salandra, F.P. Lovergine, D.O. Nitti, and D. Capolongo, “High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks,”, //Remote Sensing//, 16, 294, 2024, ISSN: 2072-4292, doi:[[https://doi.org/10.3390/rs16020294|10.3390/rs16020294]].
  * M. Zingaro, R. Roseto, G. Scicchitano, P. Palmentola, A. Piscitelli, A. Refice, G. Scardino, and D. Capolongo, “Contribution of the Sediment Flow Connectivity Index (SfCI) in Landscape Archaeology Investigations: Test Case of a New Interdisciplinary Approach,” //Sustainability//, vol. 15, no. 20, p. 15042, Oct. 2023, doi:[[https://doi.org/10.3390/su152015042|10.3390/su152015042]].
  * G. Scardino, M. Anzidei, P. Petio, E. Serpelloni, V. De Santis, A. Rizzo, S.I. Liso, M. Zingaro, D. Capolongo,  A. Vecchio, A. Refice, G. Scicchitano, “The Impact of Future Sea-Level Rise on Low-Lying Subsiding Coasts: A Case Study of Tavoliere Delle Puglie (Southern Italy)”, //Remote Sensing//, 14, 4936, 2022, ISSN: 2072-4292, doi:[[https://doi.org/10.3390/RS14194936|10.3390/RS14194936]]
  * F. Bovenga, I. Argentiero, A. Refice, R. Nutricato, D.O. Nitti, G. Pasquariello, G. Spilotro, “Assessing the Potential of Long, Multi-Temporal SAR Interferometry Time Series for Slope Instability Monitoring: Two Case Studies in Southern Italy", //Remote Sensing//, 14(7), 1677, 2022, ISSN: 2072-4292, doi:[[https://doi.org/10.3390/rs14071677|10.3390/rs14071677]]
  * A Refice, D. Capolongo, M. Chini, A. D'Addabbo, “Improving Flood Detection and Monitoring through Remote Sensing", //Water//, 14, 1-4, 2022, doi:[[https://doi.org/10.3390/w14030364|10.3390/w14030364]]
  * F. Bovenga, G. Pasquariello, A. Refice, “Statistically-Based Trend Analysis of MTInSAR Displacement Time Series”, //Remote Sensing//, 13(12), 2302, 2021, ISSN: 2072-4292, doi:[[https://doi.org/10.3390/rs13122302|10.3390/rs13122302]]
  * A. Refice, G. Pasquariello, F. Bovenga, “Model-free characterization of SAR MTI time series”, //IEEE Geoscience and Remote Sensing Letters//, 19, pp. 4004405(1-5), 2020, ISSN: 1558-0571, doi:[[https://doi.org/10.1109/LGRS.2020.3031655|10.1109/LGRS.2020.3031655]]
  * A. Refice, M. Zingaro, A. D’Addabbo, M. Chini, “Integrating C- and L-Band SAR Imagery for Detailed Flood Monitoring of Remote Vegetated Areas”, //Water//, 12(10), 2745, 2020, doi:[[https://doi.org/10.3390/w12102745|10.3390/w12102745]]
  * M. Zingaro, A. Refice, A. D’Addabbo, R. Hostache, M. Chini, D. Capolongo, “Experimental Application of Sediment Flow Connectivity Index (SCI) in Flood Monitoring”, //Water//, 12(7), 1857, 2020, doi:[[https://doi.org/10.3390/w12071857|10.3390/w12071857]]
  * A. Sembroni, P. Molin, A. Refice, A. Messina, “Evolution of a hillslope by rock avalanches: insights from analog models”, //Landslides//, 10(10), pp. 1841-1853, June 2019, doi:[[https://doi.org/10.1007/s10346-019-01229-0|10.1007/s10346-019-01229-0]]
  * M. Zingaro, A. Refice, E. Giachetta, A. D'Addabbo, F. Lovergine, V. De Pasquale, G. Pepe, P. Brandolini, A. Cevasco, D. Capolongo, “Sediment mobility and connectivity in a catchment: A new mapping approach,” //Science of The Total Environment//, 672, pp. 763–775, 2019, doi:[[https://doi.org/10.1016/j.scitotenv.2019.03.461|10.1016/j.scitotenv.2019.03.461]]
  * A. Refice, L. Spalluto, F. Bovenga, A. Fiore, M.N. Miccoli, P. Muzzicato, D.O. Nitti, R. Nutricato, G. Pasquariello, “Integration of persistent scatterer interferometry and ground data for landslide monitoring: the Pianello landslide (Bovino, Southern Italy),” //Landslides//, 16(3), pp. 447–468, 2019, doi:[[https://doi.org/10.1007/s10346-018-01124-0|10.1007/s10346-018-01124-0]]
  * D. Capolongo, A. Refice, D. Bocchiola, A. D’Addabbo, K. Vouvalidis, A. Soncini, M. Zingaro, F. Bovenga, L. Stamatopoulos, “Coupling multitemporal remote sensing with geomorphology and hydrological modeling for post flood recovery in the Strymonas dammed river basin (Greece),” //Science of The Total Environment//, 2019, Vol. 651, pp. 1958–1968. doi:[[https://doi.org/10.1016/j.scitotenv.2018.10.114|10.1016/j.scitotenv.2018.10.114]]
  * S. Manfreda, C. Samela, A. Refice, V. Tramutoli, F. Nardi, “Advances in Large-Scale Flood Monitoring and Detection,” //Hydrology//, Vol. 5, N. 49, pp. 1-4, 2018. doi: [[https://doi.org/10.3390/hydrology5030049|10.3390/hydrology5030049]]


==== Conferences ====
  * A. D’Addabbo, A. Belmonte, F. Bovenga, F. Lovergine, A. Refice, R. Matarrese, A. Gallo, G. Mita, R. Abou Kubaa, D. Boscia, C. La Mantia, V. Barbieri, “Automatic Detection of Xylella Fastidiosa in Aerial Hyperspectral and Thermal Data,” in: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2023, Pasadena CA, USA, July 16-21, 2023, pp. 3446-3449, doi: [[https://doi.org/10.1109/IGARSS52108.2023.10282542|10.1109/IGARSS52108.2023.10282542]].
  * D. O. Nitti, R. Nutricato, K. Tijani, F. Bovenga, A. Refice, R. Bellotti, G. Preziosa, A. Mongelli, “Exploiting artificial reflectors for SAR interferometry applications,” in: Microwave Remote Sensing: Data Processing and Applications II, Oct. 2023, p. 6, doi:[[https://doi.org/10.1117/12.2680622|10.1117/12.2680622]].
  * S. Pettinato, F. Bovenga, E. Santi, S. Paloscia, F. Baroni, A. Belmonte, A. Refice, I. Argentiero, R. Colombo, B. Di Mauro, G. Bramati, C. Marin, G. Cuozzo, L. De Gregorio, C. Notarnicola, M. Callegari, R. Barella, M. Pasian, M. Lodigiani, E. Cremonese, “Monitoring of snow water equivalent and snowmelt through space-borne synthetic aperture radar techniques”, in: IEEE 52nd European Microwave Conference (EuMC), 27-29 September, 2022, pp. 91–94. doi: [[https://doi.org/10.23919/EuMC54642.2022.9924399|10.23919/EuMC54642.2022.9924399]].
  * A. Refice, L. Partipilo, F. Bovenga, F.P. Lovergine, R. Nutricato, D.O. Nitti, D. Capolongo, “Remotely Sensed Detection of Badland Erosion Using Multitemporal InSAR”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2022, Kuala Lumpur, Malaysia, July 17-22, 2022, pp. 5989–5992, doi: [[https://doi.org/10.1109/IGARSS46834.2022.9883555|10.1109/IGARSS46834.2022.9883555]].
  * A. Refice, A. D’Addabbo, F.P. Lovergine, F. Bovenga, R. Nutricato, D.O. Nitti, “Improving Flood Monitoring Through Advanced Modeling of Sentinel-1 Multi-Temporal Stacks”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2022, Kuala Lumpur, Malaysia, July 17-22, 2022, pp. 5881–5884. doi: [[https://doi.org/10.1109/IGARSS46834.2022.9883943|10.1109/IGARSS46834.2022.9883943]].
  * R. Colacicco, A. Refice, R. Nutricato, A. D'Addabbo, D.O. Nitti, and D. Capolongo, "High spatial and temporal resolution flood monitoring through integration of multisensor remotely sensed data and Google Earth Engine processing”, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4403, doi: [[https://doi.org/10.5194/egusphere-egu22-4403|10.5194/egusphere-egu22-4403]]. 
  * A. Refice, F. Bovenga, G. Pasquariello, “Model-Free Characterization of Low-Noise, Nonlinear MTI Time Series”, in FRINGE 2021, 31/05-04/06/2021
  * F. Bovenga, G. Pasquariello, A. Refice, R. Nutricato, D. O. Nitti, “Analysis Of Multi-Temporal SAR Interferometry Time Series For Warning Signal Detection” in FRINGE 2021, 31/05-04/06/2021
  * F. Bovenga, A. Refice, G. Pasquariello, R. Nutricato, D. Nitti, “Identification and analysis of nonlinear trends in InSAR displacement time series”, in SPIE Proceedings Volume 11861, Microwave Remote Sensing: Data Processing and Applications, 13-18 Sept. 2021, doi: [[https://doi.org/10.1117/12.2600135|10.1117/12.2600135]]
  * A. Refice, A. D'Addabbo, M. Chini, M. Zingaro, “Flood monitoring in remote areas: integration of multi-frequency SAR data”, in EGU General Assembly, 2021, Vienna, Austria, 19-30 April 2021, doi: [[https://doi.org/10.5194/egusphere-egu21-4452|10.5194/egusphere-egu21-4452]].
  * A. Refice, M. Chini, M. Zingaro, A. D'Addabbo, “Improving flood detection in vegetated areas through multi-frequency, polarimetric and interferometric SAR data”, in Geoscience and Remote Sensing Symposium (IGARSS) 2019, Yokohama, Japan,  28 July-2 Aug. 2019, doi: [[http://dx.doi.org/10.1109/IGARSS.2019.8900074|10.1109/IGARSS.2019.8900074]].

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