Objective
The Overall Goal: To develop and demonstrate components of a marine oil spill detection and prediction system based on satellite SAR and other space data in combination with models for oil slick/spill monitoring, prediction and assessment of their impact on the environment. The results of the 24-months project will be implemented as a prototype of a marine environment information service in Black/Caspian/Kara/Barents seas as a part of GMES. This proposal is a continuation of work started by the project titled 'Marine oil spill control: SAR monitoring and model prediction' (OSCSAR) funded by ESA-IAF within the frame of 'GMES Networking with Russia and Ukraine in 2004'. The Specific Objectives: - Experimental investigation of effect of oil films on wind waves and multi-frequency dual polarization radar backscatter power and Doppler shift. - Improvement on this basis the model of wind waves and radar backscatter, with extension on sea surface imagery in visible range. - Development of a perspective approach for quantification of oil slicks/spills by means of synergy of satellite SAR and optical imagery, including discrimination from look-alikes. - Monitoring of oil slicks/spills in the Black, Caspian, Kara and Barents Seas based on ENVISAT ASAR and optical data. - Improvement of an oil spill/slick transport and evolution model, simulation of scenarios of oil spill events and assessment of their impact on environment in the study areas. Research Activity and Expected Results: The Radar Imaging Model, RIM, supplemented with wave damping coefficient by Jenkins and Jacobs (1997), is adopted as a basic model tool for the DEMOSSS project. This model will be used to simulate oil slick signatures and look-alikes in SAR and optical images. Experimental data available from the DEMOSSS consortium, and new data from planned Black Sea experiment will be used to test and improve the model. This enhancement of the RIM's physical model framework will facilitate better quantification accuracy of oil spill detection algorithms for SAR and optical sensors from current and planned satellites (e.g. ENVISAT and TERRA SAR). The Barents, Kara, Black and Caspian Seas are characterized by intensive oil and gas production and their transport. These areas will be monitored using ENVISAT data obtained from ESA's online Rolling Archive, supplemented with NOAA AHVRR and met-ocean data. These data will be used to improve algorithms for detection of oil slicks, discriminate them from look-alikes, and extract statistical information on oil slicks and their sources. The Oil spill Model for the Arctic Seas, OilMARS, will be used to simulate various scenarios of oil spill transport and evolution. For each scenario, an assessment of the impact of the oil pollution on the environmental ecosystem will be made. It is anticipated, that DEMOSSS results will be further exploited to build up marine and coastal environment information services over the study areas.
Fields of science (EuroSciVoc)
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding Scheme
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Coordinator
BERGEN
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.