MS.MONINA – Multiscale Service for Monitoring NATURA 2000 habitats (FP7 - SPACE)
Multiscale Service for Monitoring NATURA 2000 habitats of European
Community's Seventh framework programme (FP7 -
of 17 European Project Partners |
Lead: Z_GIS - Salzburg 
Associate:||Mag. rer. nat. Simon
Lead:||Prof. Dr. Birgit Kleinschmit |
Dr. Michael Förster 
six years, EU member states have to report on the state of natural
habitats within their NATURA 2000 sites. Therefore, services that
enable objective, operational and economically priced information
about the state of the environment within such sites are on
The MS.MONINA project is designed to provide such services, not only at the benefit of national authorities, but also aimed at local authorities that manage these sites, and EU authorities that oversee the overall development of the NATURA 2000 programme. Hence the project is designed to provide three different kinds of services; integrating data from satellites and in-situ measurements at the sites.
At the local level the project will support site monitoring with information products meeting the requirements of site managers. These products are derived from high resolution satellite images and reflect habitat status and changes. At the national level, the project engages in complete reporting on sensitive sites and habitats, delivered to national authorities responsible for reporting on the implementation of the Habitats Directive. At European level MS.MONINA supports region wide reporting on the implementation of the Convention on Biological diversity within the EU.
Within the project frame, the department of geoinformation in environmental planning focuses on the transferability and interoperability between the national and international datasets of the three scales. For this purpose, the derived products of three focus regions in Belgium, Germany, and Greece will be investigated. Moreover, our group is supporting the modelling of potential habitats from already existing geoinformation for a subsequent a priori use within classification processes.