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The InnoVine consortium is composed of 27 partners combining the expertise of more than 100 grape and wine researchers or producers.  Partners come from 7 European countries concentrating most of the European vineyards surface and contrasted environmental, economic and societal conditions.

The teams involved cover a wide range of scientific disciplines in viticulture (e.g. grapevine genetics and breeding, physiology, ecology, epidemiology, pathology) and technical expertise in statistics, phenotyping, databases, modelling, DSS and development of monitoring devices. About half of the partnership is public, and half is composed of private organisations, including SMEs, a large winery company and a nursery cooperative.

Florian Poustomis or
Dr Richard Bru
153 rue du Lac
31670 Labège
Tel. +33 562 881 101/111
Website :



Founded in 1998, Noveltis is a French SME that performs innovative scientific engineering studies and implements customised end-user solutions in the fields of Space, Environment and Sustainable Development. Noveltis scientists develop high-tech solutions that federate strong expertise in remote sensing, geographic information systems, decision support tools and environmental modelling. In close collaboration with the European research community, Noveltis works on projects for the space agencies (e.g. CNES, ESA, EUMETSAT), national environmental institutions (e.g. DREAL, ADEME) as well as for the European Commission. For instance, NOVELTIS is leading the CARBONES FP7 collaborative project, and is a partner in the SOTERIA and POPDAT FP7 projects. In the field of viticulture, Noveltis participates as a partner in an ambitious national project entitled VINNEO, in which Noveltis develops monitoring tools for parcels management using aerial optical imagery.


Noveltis will be involved in WP5 for the development, implementation and validation of remote sensing tools for vineyard monitoring and characterization. The potential of different types of new generation aerial and/or satellite imagery acquired at very high spatial resolution (few meters up to few centimetres) will be analysed. An integrated decision support system will then be designed and implemented in order to meet the end-users’ needs. This system will be based on GIS and web-mapping solutions. Noveltis will also contribute in WP6 in the demonstration platform and the dissemination of the project products.

Key persons involded

Dr. Mahmoud El Hajj (PhD, Eng) is a scientific engineer with 8 years experience in the fields of remote sensing and information fusion. He joined Noveltis in January 2009, where he currently coordinates the Risk & Biodiversity unit activities. He participates to the development of downstream remote sensing services using multi-sources data.


Mr Florian Poustomis (Eng) is a scientific engineer in the fields of signal and image processing. He joined Noveltis in October 2014, and is involved in several national and European projects to develop geometric and radiometric correction solutions for different types of remote sensing images. He is also involved in image processing algorithm development to manage vineyards.

Mr. Ivan Price (BSc) is an expert in Geographic Information Systems development and web applications. He joined Noveltis in February 2011. He has 10 years experience in geospatial systems designing and administrating, and in online mapping solutions using best-of-breed technical frameworks and components.

Dr. Tristan Lalanne (PhD, Eng) is a computer science expert in scientific software development. He holds relevant experience in satellite data processing chains, end-to-end simulators, and scientific data visualisation tools.

Material resources

Noveltis has all the required facilities to perform the technical activities. Computing issues are handled by a high performance 144GB cluster consisting of 96 cores spread over 6 nodes. Computing data is stored on a 2,5TB parallel distributed file system. All classical compilers are installed (C/C++, Fortran, etc.) as well as classical software for scientific development and statistical analyses (Matlab, IDL, Envi, R, etc.).

European Union
Innovine is a European collaborative project that has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement n° 311775.
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