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MOST, 2012-2013

Development of a tool to analyse and predict the evolution of drifting oil slicks









Alyotech technologies, Rennes


Meteo France

Nymphea Environnement


In order to implement oil spill response equipment as efficiently as possible, it is essential to be able to predict how the slick formed will drift and evolve at the surface, i.e. whether it will fragment or not, and to estimate the quantities of drifting oil in order to determine the resources required for response operations at sea and/or on the shoreline.

The aim of the MOST project (Mapping Oil Spill drifT) is to improve decision support for the definition of the response strategy to be implemented, by significantly improving the processing technique for images obtained by remote sensing in the field. The idea is to develop an IT tool to analyse these images based on a new protocol designed to accurately outline drifting slicks (more accurate information on their shape and therefore their surface area), to geolocate them (dimensions repositioned on a map) and, as far as possible, estimate their thickness. This information is then sent to Météo France for use as input data for the MOTHY drift model.