20230322
16503700
1.0
TRUE
TRUE
CLC2012_acc_WM
To eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were applied for the CLC data. The harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).
Corine
Land
Cover
CLC
LEAC
CLC
harmonized
(accounting)
layers
CLC
accounting
layers
V18_5
https://sdi.eea.europa.eu/catalogue/srv/api/records/6f6abc04-cedc-463d-8536-6f459c26293d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