20230323
14284400
1.0
TRUE
TRUE
Coastal
The data model of the EU-Hydro river network consists of seven polygon feature classes, three polyline feature classes and two point feature classes:
The web map contains only RiverBasinsis, Coastline layers.
EU-Hydro river network has been derived from 20 metres resolution imagery. The feature data extraction has been performed by photointerpretation of Very High Resolution Image Data (2011 - 2013), with resolution of 2.5 meters.
Hydrography
Copernicus
Catchment
River
Network
https://sdi.eea.europa.eu/catalogue/srv/api/records/da419ff3-5ae7-46a0-b0c0-ebf2d487f964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==