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Competition winners 2014

The winners of the LearnEO! lesson writing competition 2013/14 receive their prizes at ESA in Frascati, Italy, on Wednesday 5 November. The three winning lessons are now available on line.

1st Prize of €5000

Marie-Fanny Racault and Dionysios E. Raitsos: Monitoring phytoplankton seasonality: Phenology indices and their importance for coral reef biology

The jury said: ".. a very well prepared lesson with excellent background information .. both informative and interesting. .. the two authors are clearly experts in the field and their enthusiasm for the subject comes over. .. A very nice lesson!"   View the lesson

2nd prize of €3000

Hayley Evers-King and Marie Smith: Detection of Harmful Algal Blooms in Coastal Waters: Examples using ocean colour radiometry from the southern Benguela upwelling system.

The jury said: "This is a great lesson with some nice imagery and quite ambitious exercises. Probably more advanced than others in scope. As a result the lesson takes a fair amount of time, but the results are well worth the effort."
View the lesson

3rd prize of €2000

Mirko Lamantea: Observing the Eyjafjallajökull volcanic plume

The jury said: "This lesson deals with an inherently interesting topic ..using both colour composite images and volcanic ash detection algorithms. The results are clear .. highly suitable for the target audience. The background information is very thorough and provides a good theoretical grounding for the lesson."
View the lesson

Missed the 2013-14 competition but want to contribute?

We welcome additional training resources

Contributions could range from a short case study based on what you seen in a single image, to more complex lessons or even a series of lessons.

Although current LearnEO! lessons are mostly at university level, we would be more than happy to receive shorter lessons intended for use in schools.

Drop us a line at with a brief outline of what you would like to do.

Authors whose outline plans are approved, can request help (wihin reason) with ordering suitable data. They will also have access to background information from the Resource Library (when this becomes available).