| Document Date: 2014-01-10 12:08:48
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City Austin / Maracaibo / / Company Neural Networks / Petroleos de Venezuela S.A. / / Continent South America / / Country Venezuela / / Currency SAR / / / Event Man-Made Disaster / Environmental Issue / Product Issues / / Facility University of Rome / Lorenzo Fusilli University of Rome / / IndustryTerm oil spill contrast / oil platforms / radar satellite sensors / remote sensing technologies / satellite sensor / spilled oil / oil slick feature extraction / oil spill / satellite sensors images / oil extraction plants / chemical reaction / monitor oil spills / oil / satellite images / oil slicks / oil heaviness / oil storage / satellite optical sensor optical images / satellite image corresponding / oil film thickness / satellite motion / heavy oil / satellite data / radar technology / oil films / transportation routes / satellite sensors / oil extraction platforms / oil pipelines / oil film / light oil / oil spills / oil rigs / oil spill resulting / satellite remote sensing / satellite hyperspectral sensor images / marine oil pollution / / MusicGroup AVNIR X MERIS / Images / Satellite / PALSAR X Radar / / NaturalFeature Gulf of Venezuela / Caribbean Sea / lake Maracaibo / Maracaibo Lake / / Organization University of Rome / European Space Agency / Department of Astronautics / Electrical and Energetics Engineering / / Person Giovanni Laneve / Giancarlo Santilli / Pablo Marzialetti / / Product water surface / / Region northwestern Venezuela / / Technology radiation / remote sensing / GPS / microwave / ESA / radar technology / remote sensing technologies / Fuzzy Logic / CAT / /
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Towards HorizonLasaponara R., Masini N., Biscione M., Editors EARSeL, 2013 Designing an effective monitoring system based on