In the context of sea and ocean monitoring by Earth Observation (EO) data, this paper illustrates the activity of the SEAGOSS(1) ("Information, warning, and management system for sea water pollution from oil slick and sediments," 2012-2014) project, carried out in collaboration with an Italian SME Gruppo SIGLA S.r.l. and DHI Italia (former Danish Hydraulic Institute) both located in Genoa, Italy. The proposed paper presents here the added value of advanced pattern recognition techniques to process remote sensing data to model sea state, in application as coastal monitoring and oil slick detection.
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Harvard Univ, Fac Arts & Sci, Asia Ctr, Cgis South,1730 Cambridge St, Cambridge, MA 02138 USA
Harvard Humanitarian Initiat, 14 Story St,Fl Second, Cambridge, MA 02138 USAHarvard Univ, Fac Arts & Sci, Asia Ctr, Cgis South,1730 Cambridge St, Cambridge, MA 02138 USA
Aung, Thiri Shwesin
Overland, Indra
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Norwegian Inst Int Affairs NUPI, CJ Hambros plass 2D,Postboks 7024 St,Olavs Plass, N-0130 Oslo, NorwayHarvard Univ, Fac Arts & Sci, Asia Ctr, Cgis South,1730 Cambridge St, Cambridge, MA 02138 USA
Overland, Indra
Vakulchuk, Roman
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Norwegian Inst Int Affairs NUPI, CJ Hambros plass 2D,Postboks 7024 St,Olavs Plass, N-0130 Oslo, NorwayHarvard Univ, Fac Arts & Sci, Asia Ctr, Cgis South,1730 Cambridge St, Cambridge, MA 02138 USA
Vakulchuk, Roman
Xie, Yanhua
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Univ Wisconsin Madison, Nelson Inst Environm Studies, Ctr Sustainabil & Global Environm, 1710 Univ Ave, Madison, WI 53726 USAHarvard Univ, Fac Arts & Sci, Asia Ctr, Cgis South,1730 Cambridge St, Cambridge, MA 02138 USA