2017 Noise Map - Areas Exposed to Industrial Noise (Day, Evening, Night)Bruit 2017 - Zones exposées au bruit industriel (jour, soir, nuit)
Bruit 2017 - Zones exposées au bruit industriel (jour, soir, nuit)2017 Noise Map - Areas Exposed to Industrial Noise (Day, Evening, Night)
This API provides a 2017 noise map showing areas exposed to industrial noise, based on the Lden indicator (day, evening, night). It is published as part of the open data portal of Strasbourg, France, covering the Eurométropole de Strasbourg area. The dataset supports analysis of environmental noise exposure from industrial sources. Additional and more complete information on noise in the area is available on the dedicated pages of the strasbourg.eu website. Access to the underlying data is free and does not require authentication.Carte de bruit des zones exposées au bruit industriel pour l'indicateur Lden (jour, soir, nuit). Millésime 2017 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 (4 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the noise exposure zone.Geographic centroid coordinates of the noise exposure zone. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the industrial noise exposure zone.Polygon geometry outlining the industrial noise exposure zone. |
| db_loDb lo | text | Lower bound of the Lden noise level range in decibels.Lower bound of the Lden noise level range in decibels. |
| db_hiDb hi | text | Upper bound of the Lden noise level range in decibels.Upper bound of the Lden noise level range in decibels. |
Schema captured from opendatasoft 6 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 1db_hi: 55 · db_lo: 50
{
"db_hi": "55",
"db_lo": "50",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.799493790426822,
48.6047955648361
],
[
7.799385765666343,
48.60487167430224
],
[
7.799249569135187,
48.60486812085857
],
[
7.799136355730981,
48.60481034039002
],
[
7.799237614474443,
48.604740922199795
],
[
7.799371161105059,
48.60471628481042
],
[
7.799400061196048,
48.604709335891144
],
[
7.799370049411696,
48.604704456585345
],
[
7.799232928693904,
48.6046910649015
],
[
7.799094035639655,
48.604631882558124
],
[
7.799224042348514,
48.60459651279127
],
[
7.799355011678286,
48.60454445715955
],
[
7.799437296906863,
48.604527589380034
],
[
7.799485472847945,
48.6044869975872
],
[
7.799503495009487,
48.60452485279409
],
[
7.799629006124279,
48.604568619208386
],
[
7.799765285891541,
48.60457306596215
],
[
7.799810605784939,
48.60460226018598
],
[
7.799771099872491,
48.60463492070736
],
[
7.799636906995127,
48.60465267866753
],
[
7.799538355704668,
48.604703618909234
],
[
7.799510829878626,
48.60475678529432
],
[
7.799493790426822,
48.6047955648361
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.6046787667,
"lon": 7.79941541209
}
}Record 2db_hi: 55 · db_lo: 50
{
"db_hi": "55",
"db_lo": "50",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.814379225554239,
48.603458412680865
],
[
7.814335438309169,
48.60348045806972
],
[
7.814301642426917,
48.60346162994725
],
[
7.814331232916502,
48.603435851731625
],
[
7.814379225554239,
48.603458412680865
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.6034586817,
"lon": 7.81433800022
}
}Record 3db_hi: 55 · db_lo: 50
{
"db_hi": "55",
"db_lo": "50",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.823288407205422,
48.60308861398486
],
[
7.823266515266174,
48.60310196563553
],
[
7.8232232143092,
48.60309132248467
],
[
7.823261873448793,
48.603052821198084
],
[
7.823288407205422,
48.60308861398486
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.6030817171,
"lon": 7.82325822185
}
}Record 4db_hi: 55 · db_lo: 50
{
"db_hi": "55",
"db_lo": "50",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.822579767737155,
48.603118053097276
],
[
7.822455912291323,
48.60315024919253
],
[
7.822397349623084,
48.60312563061483
],
[
7.822449090736661,
48.603078015029226
],
[
7.822579767737155,
48.603118053097276
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.6031162148,
"lon": 7.82247625091
}
}Record 5db_hi: 55 · db_lo: 50
{
"db_hi": "55",
"db_lo": "50",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.811909574568104,
48.60329048643081
],
[
7.811874061430913,
48.60331182782251
],
[
7.811793804365979,
48.6032952847908
],
[
7.811870107419576,
48.603269866222746
],
[
7.811909574568104,
48.60329048643081
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.6032918099,
"lon": 7.81185845045
}
}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_a_industrie_lda_ems2017
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_a_industrie_lda_ems2017/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
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