In combination with the 4th Steering Committee meeting of LIFE HEALTHY Forest on March 17 in Jena, the GIScience group of the Friedrich-Schiller-University Jena organizes a spring school on “Statistical Analysis of Hyperspectral and High-Dimensional Remote-Sensing Data” in the week from March 13 – 17  in Jena, Germany. The training school will mainly use the well known statistical programming language R to present state-of-the-art analysis techniques of high-dimensional data. International experts from Chile, Poland and Germany will provide a mixture of theory and hands-on sessions. Participant number is limited to 25. A fee of 300€ will be charged from participants to cover expenses of the training school. Applications should be submitted until January 31 via this form including a CV and a motivation letter.  Participants with low budget are encouraged to apply for a (partial) funding within their motiviation letter.  The program can be found here.

LIFE HEALTHY FOREST, co-financed by the LIFE Programme, will develop an innovative and unique integrated system to the early detection and evaluation of the impact of forest decline through the combination of expertise areas, encompassing from molecular to remote sensing techniques.  This system will be implemented at regional scale across the three provinces of the Basque Country, as knowledge base for the EU Forest and Biodiversity policy.

LIFE HEALTHY FOREST is one of the 96 projects selected by the LIFE programme out of the 1117 applications received by the European Commission within the Environment & Resource Efficiency Subprogramme in the first call for projects for the period 2014-2020.