Noise 2022 - Areas exposed to aircraft noise (day, evening, night)Bruit 2022 - Zones exposées au bruit aérien (jour, soir, nuit)
Bruit 2022 - Zones exposées au bruit aérien (jour, soir, nuit)Noise 2022 - Areas exposed to aircraft noise (day, evening, night)
Noise map covering Entzheim and Neuhof airports for the Eurostat/EU Lden indicator (day, evening, night), for the 2022 reference year. Published via the Strasbourg open data portal, the dataset delineates zones exposed to aircraft noise around these airports. It is intended to support urban planning, environmental assessment, and public information on aircraft noise exposure. Further detailed information on noise is available on dedicated pages of the strasbourg.eu website.Carte de bruit de l’aéroport d’Entzheim et de Neuhof pour l'indicateur Lden (jour, soir, nuit). Millésime 2022 Une information complète sur le bruit est disponible sur les pages dédiées de strasbourg.eu
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (8 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic coordinates (latitude/longitude) of the zone's centroid.Geographic coordinates (latitude/longitude) of the zone's centroid. |
| geo_shapeShape | geo_shape | Geometric outline of the noise-exposed zone.Geometric outline of the noise-exposed zone. |
| millesime | text | Reference year of the noise map data.Reference year of the noise map data. |
| carte | text | Code identifying the specific noise map.Code identifying the specific noise map. |
| source | text | Origin of the noise data, e.g. airport authority.Origin of the noise data, e.g. airport authority. |
| periode | text | Time period indicator for the noise measurement (day, evening, night).Time period indicator for the noise measurement (day, evening, night). |
| valeur | text | Noise level range in decibels for the zone.Noise level range in decibels for the zone. |
| color_dataColor data | text | Hexadecimal color code used to display the zone on the map.Hexadecimal color code used to display the zone on the map. |
Schema captured from opendatasoft 3 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 1carte: A · source: Aero
{
"carte": "A",
"source": "Aero",
"valeur": ">=75",
"periode": "Ld",
"geo_shape": "[large value omitted]",
"millesime": "2022",
"color_data": "#8A65A9",
"geo_point_2d": {
"lat": 48.539630302553384,
"lon": 7.630904363139157
}
}Record 2carte: A · source: Aero
{
"carte": "A",
"source": "Aero",
"valeur": "50-55",
"periode": "Ld",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.687744123,
48.5728079825
],
[
7.6878358174,
48.572826613
],
[
7.6877470946,
48.5728616862
],
[
7.6876495146,
48.572798137
],
[
7.6877136351,
48.5727836178
],
[
7.687744123,
48.5728079825
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#8FAF89",
"geo_point_2d": {
"lat": 48.57282210231042,
"lon": 7.687737057063176
}
}Record 3carte: A · source: Aero
{
"carte": "A",
"source": "Aero",
"valeur": ">=75",
"periode": "Ld",
"geo_shape": "[large value omitted]",
"millesime": "2022",
"color_data": "#8A65A9",
"geo_point_2d": {
"lat": 48.55085391567,
"lon": 7.778297371898547
}
}Record 4carte: A · source: Aero
{
"carte": "A",
"source": "Aero",
"valeur": "55-60",
"periode": "Ld",
"geo_shape": "[large value omitted]",
"millesime": "2022",
"color_data": "#F9D7A2",
"geo_point_2d": {
"lat": 48.55173345059739,
"lon": 7.778251896775004
}
}Record 5carte: A · source: Aero
{
"carte": "A",
"source": "Aero",
"valeur": ">=75",
"periode": "Ld",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.777539613,
48.557498512
],
[
7.7773179388,
48.5574982985
],
[
7.7772553223,
48.5573425926
],
[
7.777245081,
48.5571339743
],
[
7.7772242747,
48.5570109839
],
[
7.7772462161,
48.5569030103
],
[
7.7772275182,
48.5567924124
],
[
7.7772505463,
48.5567102987
],
[
7.7772569187,
48.5565289822
],
[
7.7772772291,
48.5564565675
],
[
7.7772855496,
48.5562931914
],
[
7.7773086038,
48.5562367742
],
[
7.7773003717,
48.5561880518
],
[
7.7773346577,
48.5559169237
],
[
7.7773650816,
48.5557671259
],
[
7.7773792726,
48.5556575611
],
[
7.7773986867,
48.5555293821
],
[
7.7774489961,
48.555349977
],
[
7.7775545336,
48.555091727
],
[
7.7777406728,
48.5548527277
],
[
7.7778992417,
48.5547857723
],
[
7.7780401945,
48.5548406596
],
[
7.7781425415,
48.5551840001
],
[
7.7781649556,
48.5556404158
],
[
7.7781330937,
48.5562468461
],
[
7.7781137655,
48.5564157126
],
[
7.7781073961,
48.5565970291
],
[
7.7780851383,
48.5566515036
],
[
7.7780768068,
48.5568148802
],
[
7.7780545497,
48.5568693636
],
[
7.7780460312,
48.5570365503
],
[
7.7780027729,
48.5571424019
],
[
7.778005841,
48.5571605575
],
[
7.778007616,
48.5571965348
],
[
7.7780137109,
48.5572325504
],
[
7.777985301,
48.5573508824
],
[
7.777958276,
48.5573521848
],
[
7.7779621857,
48.5573880562
],
[
7.7779351606,
48.5573893586
],
[
7.7779410323,
48.5574431699
],
[
7.7778869812,
48.5574457657
],
[
7.7778679292,
48.5574760234
],
[
7.7777287645,
48.5574894235
],
[
7.7775936642,
48.5574959163
],
[
7.7775666382,
48.5574972097
],
[
7.777539613,
48.557498512
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#8A65A9",
"geo_point_2d": {
"lat": 48.556230208482766,
"lon": 7.777717071365154
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_aero_a_ld_2022
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_aero_a_ld_2022/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.