Wastewater treatment plantsStations d'épuration
Stations d'épurationWastewater treatment plants
An OGC API dataset published via Luxembourg's national geoportal, providing geospatial data on wastewater treatment plants (stations d'épuration) across the country. The service exposes location and related attribute information in standard OGC formats, allowing integration into GIS applications and mapping tools. Access is free and does not require authentication, making it suitable for querying and combining with other geospatial layers on water infrastructure and environmental management within Luxembourg's national territory.Geoportail OGC API.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (11 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geometryGeometry | geometry | Geographic location of the wastewater treatment plant.Geographic location of the wastewater treatment plant. |
| OBJECTID | integer | Internal record identifier.Internal record identifier. |
| NOMEPU | string | Name of the wastewater treatment plant.Name of the wastewater treatment plant. |
| CODE_STATCode stat | string | Station code identifying the treatment plant.Station code identifying the treatment plant. |
| CAPA | number | Treatment capacity of the plant.Treatment capacity of the plant. |
| NOMRIV | string | Name of the receiving river.Name of the receiving river. |
| CLASS | string | Classification category of the treatment plant.Classification category of the treatment plant. |
| TYPE_ | string | Type of the treatment plant.Type of the treatment plant. |
| Hyperlinks | string | Link to related online resources.Link to related online resources. |
| Photo | string | Link to a photo of the treatment plant.Link to a photo of the treatment plant. |
| pygeoapi_idPygeoapi id | integer | Internal identifier assigned by the pygeoapi service.Internal identifier assigned by the pygeoapi service. |
Schema captured from ogc_api_features 28 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1CAPA: 5500 · CLASS: B
{
"CAPA": 5500,
"CLASS": "B",
"Photo": null,
"TYPE_": "BA-N-DP",
"NOMEPU": "Aspelt",
"NOMRIV": "Gander",
"OBJECTID": 878,
"CODE_STAT": "STEP_305_B001",
"Hyperlinks": "http://geoportail.eau.etat.lu/pdf/assainissement/Analyses STEP Aspelt.pdf",
"pygeoapi_id": 1
}Record 2CAPA: 350 · CLASS: B
{
"CAPA": 350,
"CLASS": "B",
"Photo": null,
"TYPE_": "BA",
"NOMEPU": "Bech",
"NOMRIV": "Sauerbach",
"OBJECTID": 880,
"CODE_STAT": "STEP_112_B001",
"Hyperlinks": null,
"pygeoapi_id": 2
}Record 3CAPA: 20 · CLASS: B
{
"CAPA": 20,
"CLASS": "B",
"Photo": null,
"TYPE_": "LAN",
"NOMEPU": "Berle",
"NOMRIV": "Birbaach",
"OBJECTID": 885,
"CODE_STAT": "STEP_913_B001",
"Hyperlinks": null,
"pygeoapi_id": 3
}Record 4CAPA: 10000 · CLASS: B
{
"CAPA": 10000,
"CLASS": "B",
"Photo": null,
"TYPE_": "BA-DN-DP",
"NOMEPU": "Betzdorf - Hagelsdorf",
"NOMRIV": "Syr",
"OBJECTID": 887,
"CODE_STAT": "STEP_122_B002",
"Hyperlinks": "http://geoportail.eau.etat.lu/pdf/assainissement/Analyses STEP Betzdorf.pdf",
"pygeoapi_id": 4
}Record 5CAPA: 3000 · CLASS: B
{
"CAPA": 3000,
"CLASS": "B",
"Photo": null,
"TYPE_": "BA",
"NOMEPU": "Biwer",
"NOMRIV": "Syr",
"OBJECTID": 891,
"CODE_STAT": "STEP_122_B001",
"Hyperlinks": "http://geoportail.eau.etat.lu/pdf/assainissement/Analyses STEP Biwer.pdf",
"pygeoapi_id": 5
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://features.geoportail.lu/collections/645
Query examples
curl -s 'https://features.geoportail.lu/collections/645/items?f=json&limit=20' -H 'Accept: application/json'First 20 features of the collection as GeoJSON.