Valerio Tramutoli

Prof. Valerio Tramutoli

School of Engineering, University of Basilicata, 85100 Potenza, Italy
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

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

Representative Publications

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30 June 2005 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Valerio TramutoliValerio Tramutoli
Valerio Tramutoli
VCV Cuomo
V Cuomo
CFCarolina Filizzola
Carolina Filizzola
Nicola PergolaNicola Pergola
Nicola Pergola
CPC Pietrapertosa
C Pietrapertosa

1 September 2013 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Angelica TarpanelliAngelica Tarpanelli
Angelica Tarpanelli
Luca BroccaLuca Brocca
Luca Brocca
Teodosio LacavaTeodosio Lacava
Teodosio Lacava
FMFlorisa Melone
Florisa Melone
Tommaso MoramarcoTommaso Moramarco
Tommaso Moramarco
Valerio TramutoliValerio Tramutoli
Valerio Tramutoli

11 December 1998
Verified
Conference Paper
Closed access
PDF file
Valerio TramutoliValerio Tramutoli
Valerio Tramutoli
Many algorithms and data analysis techniques have been proposed up to now which make use of satellite observations within atmospheric widows mainly for clouds and surface parameters studies and for environmental monitoring applications. Quite all these algorithms are difficult to extend to different geographical, seasonal conditions, having generally poor performances and uncertain reliability especially when applied in environmental risk prevision, monitoring and/or mitigation. In this paper a new, robust (in a statistical sense), approach (RAT) to the use of NOAA/AVHRR observations is proposed and its successful application to different environmental emergencies illustrated also in expectation of next generation of satellite sounders devoted or usable for environmental monitoring purposes.

1 July 2007
Verified
Conference Paper
Closed access
Valerio TramutoliValerio Tramutoli
Valerio Tramutoli
Several algorithms and data analysis techniques have been proposed using satellite observations (within atmospheric spectral windows) for cloud and surface parameters studies and for human environment monitoring applications. Quite all these algorithms are difficult to extend to different geographical, seasonal conditions, generally offering poor performances and uncertain reliability especially when applied in environmental risk prevision, monitoring and/or mitigation. In this paper the generalized satellite data analysis approach RST (Robust Satellite Technique) is described which extend the use of RAT (Robust AVHRR Techniques) approach -previously proposed by the same author in 1998 -to whatever satellite sensors. Successful RST applications are also described with reference to results so far achieved by using optical and microwaves passive sensors for volcanic eruption monitoring and prediction, forest fire detection, floods mapping, monitoring and early warning, possible earthquake precursors monitoring, oil spill detection and pipeline networks monitoring.

1 February 2013 in Chemical Geology
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Journal Article
Closed access
Valerio TramutoliValerio Tramutoli
Valerio Tramutoli
CACarolina Aliano
Carolina Aliano
RCRosita Corrado
Rosita Corrado
CFCarolina Filizzola
Carolina Filizzola
NGNicola Genzano
Nicola Genzano
Nicola PergolaNicola Pergola
Nicola Pergola

1 November 2004 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Nicola PergolaNicola Pergola
Nicola Pergola
FMFrancesco Marchese
Francesco Marchese
Valerio TramutoliValerio Tramutoli
Valerio Tramutoli