EU-DEM - GISCO
EU-DEM was edited by Intermap, while AGI (Aerogeodezijos Institutas) provided the water mask.
The dataset for EU-DEM was produced by the Copernicus programme, which is managed by the European Commission’s Directorate-General for Enterprise and Industry.
EU-DEM is a 3 D raster dataset with elevations captured at 1 arc per second postings (2.78E-4 degrees) or about every 30 metres. It is a hybrid product based on SRTM and ASTER GDEM data that are fused by a weighted averaging approach.
EU-DEM was generated as a contiguous dataset divided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention.
The spatial reference system is geographic, latitude/longitude with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08 (EPSG code: 4258).
The vertical unit of this DSM is metres.
The tiles were then aggregated into 5°x5° tiles, which were projected to ETRS-LAEA by DG JRC (EPSG code: 3035).
Several products were also generated:
- a colour-shaded relief image over Europe was created by the European Environment Agency using a hillshade dataset derived from the ETRS89-LAEA (EPSG code: 3035) version of EU-DEM. This dataset cannot be used for analytical purposes. There are also some known artefacts in the west of Norway.
- a hydrography layer (streams, confluence points and watersheds)
- a root mean square error (denoting the error derived in the quality assessment procedure).
All datasets of Version 1 are available as tiles (5x5° or 1000x1000km) and as single files. The datasets are encoded as:
- GeoTIFF with LZW compression (tiles) or DEFLATE compression (European mosaics as single files) for the raster files
- GDB for the Vector data sets.
The EU-DEM statistical validation documents a relatively unbiased (-0.56 metres) overall vertical accuracy of 2.9 metres RMSE, which is fully within the contractual specification of 7 m RMSE. The full report is available here.
Please refer to the European Environmental Agency (EEA) website for any specific provisions that might be applicable for this dataset.