WADIM: Water-Associated infectious Diseases in India: digital Management tools
Science Topic
PML routinely monitors areas to detect if oil pollution occurs, so timely action can be taken.
PML have developed a Machine Learning algorithm to automatically detect oil slicks from satellite data. By routinely downloading and processing satellite data after every overpass and applying this automated oil slick detection it is possible to monitor areas for possible slicks and alert government authorities so that timely action can be taken.
The technique was developed in the Malacca strait, one of the busiest shipping lanes in the world, where oil spills are known to have disastrous consequences. It is currently being used as part of the EO4SD project to monitor oil spills off the coast of West Africa. Through this monitoring, regular discharges off the coast of Ghana have been identified. The commercial service developed in EASOS is being offered to government and industry through PML Applications.
Download this informative brochure to find out more about how PML is using advanced techniques to support detection and clean-up of oil spills.
WADIM: Water-Associated infectious Diseases in India: digital Management tools
BIO-PLASTIC-RISK: Biodegradable Bioplastics – Assessing Environmental Risk
ProBleu: Promoting ocean and water literacy in school communities
FRONTAL: Satellite FRONTs for detection of Anthropogenic plastic Litter
FutureMARES: Climate Change and Future Marine Ecosystem Services and Biodiversity
Atlantic Ecosystem Assessment, Forecasting and Sustainability (AtlantECO)
Copernicus Evolution: Research for harmonised and Transitional water Observation (CERTO)
The Economics of Marine Plastic Pollution: What are the Benefits of International Cooperation
Pathways Of Dispersal for Cholera And Solution Tools (PODCAST)
Changing Arctic Carbon cycle in the cOastal Ocean Near-shore (CACOON)
Pathways and emissions of climate-relevant trace gases in a changing Arctic Ocean (PETRA)