Corine Land Cover
European Environment Agency - Corine Land Cover
In 1985 the Corine programme was initiated in the European Union. Corine stands for 'coordination of information on the environment' and it was a prototype project working on many different environmental issues. The Corine databases and several of its programmes have been taken over by the EEA. One of these is an inventory of land cover in 44 classes, and presented as a cartographic product, at a scale of 1:100 000. This database of CORINE Land Cover (CLC) is operationally available for most areas of Europe for the reference years 1990, 2000 2006 and 2012. A new inventory for the reference year 2018 is currently being mapped.
Over the past years space4environment has been in charge of several Corine Land Cover related activities:
- Implementation of CLC2006, CLC2012 and CLC2018 in Luxembourg
- Coordination of CLC2006 and CLC2012 for the West Balkan countries
- Coordination of CLC2018 in the West Balkan countries, Cyprus, Denmark, Latvia and Switzerland
The coordination of the implementation of CLC in the different countries involved the selection of the national team, the training of the team members where needed, verification of the mapping progress and review of the results before submission for official verification and acceptance.
As part of the CLC Technical Team space4environment is sharing its knowledge of Corine Land Cover in training courses held for participating countries to improve the national capacities in carrying out the CLC inventory. space4environment team members have supported official CLC training missions to Lithuania, Greece, Albania, Cyprus, Ukraine or Georgia.
This knowledge of the team is furthermore used in verifying the resulting mapping databases.
A new aspect of the work at space4environment is the collaboration in the EAGLE working group for the development of a second-generation European land monitoring concept. The aim of this concept (also referred to as CLC+) is to overcome the limitation of the current CLC with respect to nomenclature and scale and move towards a future-oriented database which allows the integration of information from different sources and a flexible, demand-driven legends, based on database queries.