Open knowledge
Romania
Public data / Dataset

CORINE land cover 2018

Land classification for examining urban extent and landscapes around settlements.

Before you use this resource

Minimum mapping unit is 25 hectares and minimum width 100 metres. Not suitable for parcel-level detail.

Published by
Copernicus Land Monitoring Service / EEA
Source
Public institution
Collection
Public data
Resource type
Dataset
Coverage
Europe; 2018 reference, imagery from 2017–2018.
Documented formats
Vector, Raster 100 m, WMS, ArcGIS REST
Licence / terms
Copernicus full, free and open access policy
API access
Documented API
Record review date
2026-09-07
Last resource update
Unknown
Technical data audit
Not performed
Documentation
Source reviewed

Documentation

The listed documentation and terms were reviewed. The full file or API query was not tested.

The cited page documents this record. Check the original source for terms and versions before reuse.

land.copernicus.eu ↗

Getting started

  1. Select CLC2018 and read its class legend.
  2. Use the map service to explore or download the product needed for analysis.
  3. For temporal changes, check the dedicated change product and resolution limits.

Access and checks

Reuse terms evidence ↗

Direct API queries

curl -s 'https://image.discomap.eea.europa.eu/arcgis/rest/services/Corine/CLC2018_WM/MapServer' | jq .
import urllib.request
import json

url = "https://image.discomap.eea.europa.eu/arcgis/rest/services/Corine/CLC2018_WM/MapServer"
req = urllib.request.Request(url, headers={"User-Agent": "CunoastereDeschisa/1.7"})
with urllib.request.urlopen(req) as resp:
    data = json.loads(resp.read().decode("utf-8"))
    print(json.dumps(data, indent=2)[:500])
library(jsonlite)

data <- fromJSON("https://image.discomap.eea.europa.eu/arcgis/rest/services/Corine/CLC2018_WM/MapServer")
str(data)
INSTALL httpfs;
LOAD httpfs;

SELECT * FROM read_json_auto('https://image.discomap.eea.europa.eu/arcgis/rest/services/Corine/CLC2018_WM/MapServer')
LIMIT 10;
Executable query snippets for command line, data pipelines, or DuckDB.

Continue your research

Editorial suggestions for discovery. These links do not establish technical integration or licence compatibility.

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