WITOIL (Where Is the Oil) is a multi-model Decision Support System (DSS) on-demand service that forecasts transport and weathering of actual or hypothetical oil spills in the global, regional European Seas, and in the selected coastal areas. WITOIL uses the MEDSLIK-II oil spill model forced by operational meteo-oceanographic services. The service has been further refined by using labelled image datasets from Sentinel 1, Sentinel 2 and Landsat 8 satellites to improve existing deep-learning algorithms and the AI-supported detection of oil spills. WITOIL is now an operational service in the iMagine-AI platform and interfaces with the existing operational marine pollution oil spill monitoring and modelling service running at CMCC. Relevant guidelines and documentation are also available to promote the service uptake. With WITOIL, Policymakers can better understand the problem, which will lead to the development of more effective policies, mitigation strategies, and further funding for technologies related to mitigating the environmental impact of oil spills.
Addressing target audiences and expressing needs
- To raise awareness and possibly influence policy
- Use of research Infrastructure
- Collaboration
The tools are available for anyone to use, including policymakers and the general public. We would love to collaborate with other institutions and join efforts to tackle maritime pollution.
- EU and Member State Policy-makers
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
Currently, the application is deployed on the iMagine marketplace, enabling users to launch oil spill simulations via an API. The future roadmap includes new features, functionalities, user experience improvements, model advancements, and integration strategies.
The developed pipeline will be installable on the iMagine platform or on other hosted solutions or on personal computers, hence enabling deployment at various scales.
All components are open source, the results are traceable, the methodology is described in an open-access publication, and provenance metadata will be provided to replicate the results.
The developed pipeline will be installable on the iMagine platform or on other hosted solutions or on personal computers, hence enabling deployment at various scales.
