EBD 2017 - Environmental Big Data

Université de Toulon,

campus city centre, room FA110

30 nov. & 1 dec. 2017

Free registration (including buffet) is required before November 15th, 2017


Environmental Big Data from Acquisition to Exploitation - Trends &

This workshop aims to demonstrate the needs and realisation of low latency,
long-term, big data monitoring of the biodiversity, by leveraging advances
in IoT, versatile microcontrollers, and advanced machine learning. Special
attention will be given to Deep Learning techniques for environmental data,
including inversion, semi-supervised learning and generative models.

Continuous monitoring of ecosystems can be achieved by recording and
analysing their acoustic environment, or soundscape, which is the
expression of the habitat quality, richness and biodiversity. Managing big
acoustic data streams requires specialized tools to classify the scenes and
detect/recognise the different components, e.g. biophony, geophony and

Invited speakers are key scientists and decision-makers in this field. The
first day will be devoted to terrestrial applications focusing on
individual species, birds, frogs, bees, and on soundscape monitoring. The
second day will set the spotlight on aquatic biodiversity assessment in
rivers, lakes and oceans.

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