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Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network

Objective

The concept of the ARGOMARINE proposal is the monitoring of the marine traffic due to carriers and commercial ships through environmental-sensitive sea areas. This monitoring will be realized by means of sophisticated electronic, geopositioning, and telematic tools connected through a high speed network along with data transmission through suitable data links. Data from different sources will be collected in an independent and remote fashion and sent to a main acquisition and elaboration central unit. . Motivation and scope of the Argomarine project is the safe detection, notification and interventions on vessels in emergency situation and the protection of sea and insular environment, endangered by heavy and continuous activities, mainly due to intensive ship traffic, generating a consistent pollution risk.The envisaged goal is connected to the necessity of precise and punctual pollution control in areas and shores which are, for instance, of particular naturalistic value, and/or are exposed to risk of accidental or even intentional contamination due to their vicinity to industrial or highly densely populated settlements, or crossed by a heavy ship traffic. All the data and the information obtained will be merged and elaborated in a Marine Information System (MIS), i.e. an information system where remote sensing data, field experiment results and estimates from simulation models will be integrated, and tools for data storage and retrieval, data manipulation and analysis, as well as for presentation, will available through a common interface

Call for proposal

FP7-SST-2008-RTD-1
See other projects for this call

Coordinator

ENTE PARCO NAZIONALE ARCIPELAGO TOSCANO
EU contribution
€ 332 617,05
Address
VIA GUERRAZZI 1
57037 PORTOFERRAIO
Italy

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Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
Administrative Contact
Michele Cocco (Dr.)
Links
Total cost
No data

Participants (8)