Vincenzo Amato

Prof. Vincenzo Amato

GeoGisLab, Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise, C. da Fonte Lappone, 86090 Pesche (IS), Italy
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

View All Publications
1 March 2017 in Tectonophysics
Verified
Journal Article
Closed access
PGPaolo Galli
Paolo Galli
BGBiagio Giaccio
Biagio Giaccio
PMPaolo Messina
Paolo Messina
EPEdoardo Peronace
Edoardo Peronace
Vincenzo AmatoVincenzo Amato
Vincenzo Amato
FTFrancoise Thil
Francoise Thil

1 March 2013 in Quaternary International
Verified
Journal Article
Closed access
Vincenzo AmatoVincenzo Amato
Vincenzo Amato
Pietro P. C. AucelliPietro P. C. Aucelli
Pietro P. C. Aucelli
GCG. Ciampo
G. Ciampo
ACA. Cinque
A. Cinque
VDValentino Di Donato
Valentino Di Donato
Elda Russo ErmolliElda Russo Ermolli
Elda Russo Ermolli

1 November 2012 in Journal of Coastal Research
Verified
Journal Article
Closed access
IAInes Alberico
Ines Alberico
Vincenzo AmatoVincenzo Amato
Vincenzo Amato
Pietro P. C. AucelliPietro P. C. Aucelli
Pietro P. C. Aucelli
BDBruno D'Argenio
Bruno D'Argenio
GPGianluigi Di Paola
Gianluigi Di Paola
Gerardo PapponeGerardo Pappone
Gerardo Pappone
In the Mediterranean, the coastal population was estimated at 146 miUion in 1990 and the urban coastal population\ud alone is projected to rise to 176 million by 2025, with an addition of 350 million of tourists per year. In coastal zones,\ud forecasting shoreline location and changes in time is a basic tool for decisional making regarding land management and\ud future planning. Historical maps, aerial photography, topographic maps and a beach survey were used as data sources to\ud detect the shorelines of the Sele Plain coastline between the towns of Salerno and Agropoli (southern Italy) and define its\ud change from 1870 to 2009. By using the potential of ArcGIS release 8.3 software and its extension digital shoreline\ud analysis system, we followed two main stages. The first required identification of the shorelines, reducing to a minimum\ud the errors associated to the suitability of source material, distortion of the photographs, residuals in georeferencing, and\ud seasonal shoreline variation. The second was to define the shoreline variations along 170 transects spaced every 200 m.\ud This systematic analysis showed that in the Sele River plain the highest rates of erosion, generally localized at river\ud mouths (Picentino River, mean value = 0.4 m/y; Sele River, mean value = 1.3 m/y), have decreased in the last 20 years,\ud revealing that the beach system is acquiring new coastal stability

4 September 2014 in Rendiconti Lincei. Scienze Fisiche e Naturali
Verified
Journal Article
Closed access
PDF file
Vincenzo AmatoVincenzo Amato
Vincenzo Amato
Pietro P. C. AucelliPietro P. C. Aucelli
Pietro P. C. Aucelli
MCMassimo Cesarano
Massimo Cesarano
BJBrian Jicha
Brian Jicha
VLVincent Lebreton
Vincent Lebreton
Elda Russo ErmolliElda Russo Ermolli
Elda Russo Ermolli

30 December 2011 in Rendiconti Lincei. Scienze Fisiche e Naturali
Verified
Journal Article
Closed access
PDF file
IAInes Alberico
Ines Alberico
Vincenzo AmatoVincenzo Amato
Vincenzo Amato
Pietro P. C. AucelliPietro P. C. Aucelli
Pietro P. C. Aucelli
GPGianluigi Di Paola
Gianluigi Di Paola
Gerardo PapponeGerardo Pappone
Gerardo Pappone
CRCarmen M. R Rosskopf
Carmen M. R Rosskopf

13 January 2012 in Rendiconti Lincei. Scienze Fisiche e Naturali
Verified
Journal Article
Closed access
PDF file
Vincenzo AmatoVincenzo Amato
Vincenzo Amato
Pietro P. C. AucelliPietro P. C. Aucelli
Pietro P. C. Aucelli
BDBruno D’argenio
Bruno D’argenio
SPSimone Da Prato
Simone Da Prato
LFLuciana Ferraro
Luciana Ferraro
Elda Russo ErmolliElda Russo Ermolli
Elda Russo Ermolli