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X-WR-CALDESC:Events for ESGRS
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TZID:Asia/Dubai
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20260204T100000
DTEND;TZID=Asia/Dubai:20260204T110000
DTSTAMP:20260611T141853
CREATED:20260121T070451Z
LAST-MODIFIED:20260204T103647Z
UID:6357-1770199200-1770202800@www.esgrs.ae
SUMMARY:Advanced Oil Spill Trajectory Modelling for Environmental Protection
DESCRIPTION:Current oil spill emergency response protocols employ standardized\, universal strategies that fail to account for critical environmental variations\, particularly water temperature effects on oil weathering behaviour. This research addresses this operational gap through comparative analysis of two contrasting marine environments using integrated satellite remote sensing and GNOME (General NOAA Operational Modelling Environment) trajectory modelling. \nThe study examines the 1989 Exxon Valdez spill in Alaska’s cold waters (8°C\, 257\,000 barrels) and the 2017 Al-Khafji spill in the Arabian Gulf’s warm waters (40°C\, 35\,000 barrels). Satellite data from Landsat 5 TM and Sentinel-2 achieved 84-86% detection accuracy\, validated through NOAA aerial surveys and multi-stage verification protocols. \nKey findings reveal counterintuitive results: despite 32°C higher temperatures\, the Arabian Gulf exhibited 24% lower evaporation (26.3%) compared to Alaska (34.8%) due to rapid emulsification processes that trapped volatile components. Alaska showed 7% shoreline beaching versus 0.5% in the Gulf\, with dramatically different surface persistence patterns (57.9% vs 72.8%). \n\nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                Mr. Osman HamedFaculty of Engineering and Sciences at University of WolverhamptonOsman Hamed is a final-year PhD candidate in Environmental and Analytical Sciences at the University of Wolverhampton\, UK\, supervised by Professor Craig Williams\, Dr. Catherine Duke\, and Professor Abdallah Shanbleh. His research focuses on integrating satellite remote sensing (Landsat\, Sentinel-2) with NOAA’s GNOME trajectory model for advanced oil spill monitoring and prediction. Osman’s doctoral work provides a comparative analysis of oil spill behaviour across contrasting marine environments—the 1989 Exxon Valdez spill in Alaska’s cold waters versus the 2017 Al-Khafji spill in the Arabian Gulf’s warm waters. His research demonstrates how environmental parameters\, particularly water temperature\, critically influence oil weathering processes and emergency response effectiveness. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/advanced-oil-spill-trajectory-modelling-for-environmental-protection/
LOCATION:Virtual
CATEGORIES:2026,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/01/img210120.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20260217T100000
DTEND;TZID=Asia/Dubai:20260217T110000
DTSTAMP:20260611T141853
CREATED:20260209T040332Z
LAST-MODIFIED:20260218T081142Z
UID:6370-1771322400-1771326000@www.esgrs.ae
SUMMARY:The Contribution of Satellite Data and Artificial Intelligence for Earthquake Response with damage mapping at building level
DESCRIPTION:The presentation will touch down on how earth observation data is currently used to detect building damages following an earthquake event. It will focus on the use of damage detection deep learning algorithms with very high resolution optical data\, through the lens community challenge recently held by ESA phi-lab with the support of the International Charter: Space And Major Disasters. \n\nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                Eng. Mounia El BazEO Digital Innovation Engineer at ESAMounia El Baz received the Engineering degree in Applied Mathematics from École Centrale Paris (now CentraleSupélec) and the Master of Science in Mathematics\, Computer Vision and Machine Learning from ENS Paris-Saclay\, both part of Université Paris-Saclay. She was formerly a Senior Data Scientist at Descartes Underwriting\, specializing in wildfire modeling\, and is currently an EO Digital Innovation Innovation Engineer at the Φ-lab\, ESA/ESRIN. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/the-contribution-of-satellite-data-and-artificial-intelligence-for-earthquake-response-with-damage-mapping-at-building-level/
LOCATION:Virtual
CATEGORIES:2026,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/02/IODISA2026.jpg
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