Noise mapping of Rennes Métropole - type A isophonesCartographie du bruit sur Rennes Métropole - type a isophones
Cartographie du bruit sur Rennes Métropole - type a isophonesNoise mapping of Rennes Métropole - type A isophones
This API provides isophone (noise contour) layers for Rennes Métropole, published by the metropolitan authority Rennes Métropole. It covers noise by source type, including road, rail, industrial and air traffic, measured over a 24-hour period (Lden) and at night (Ln). The rail network contours were updated in 2023 to reflect the commissioning of the new high-speed line (LGV) and metro line B. The dataset supports noise exposure assessment and urban planning at the local level within the metropolitan area.Couche d'isophones par typologie de bruit (routier, ferré, industriel et aérien) sur 24h (Lden) et la nuit (Ln). Les courbes d'isophones pour le réseau ferré ont été mises à jour en 2023 pour tenir compte de la mise en production de la nouvelle LGV et de la ligne B du métro.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic coordinates of the center point of the noise area.Geographic coordinates of the center point of the noise area. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the noise contour area.Polygon geometry outlining the noise contour area. |
| gml_idGml id | text | Unique GML feature identifier for the noise contour.Unique GML feature identifier for the noise contour. |
| objectid | int | Internal record identifier.Internal record identifier. |
| from | double | Lower noise level bound of the isophone band, in decibels.Lower noise level bound of the isophone band, in decibels. |
| to | double | Upper noise level bound of the isophone band, in decibels.Upper noise level bound of the isophone band, in decibels. |
| period | text | Noise indicator period, either 24-hour (Lden) or nighttime (Ln).Noise indicator period, either 24-hour (Lden) or nighttime (Ln). |
| type | text | Noise source category, such as road, rail, industrial or air traffic.Noise source category, such as road, rail, industrial or air traffic. |
| annee | int | Year the noise contour data refers to.Year the noise contour data refers to. |
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)
These rows are ODbL-1.0: share-alike. Reusing them obliges you to license any derived database on the same terms.
Record 1to: 120 · from: 75
{
"to": 120,
"from": 75,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.33286",
"period": "Ln",
"objectid": 33286,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.719191781946735,
48.11942118130011
],
[
-1.719163297484354,
48.11944226459172
],
[
-1.719115186623282,
48.11943712020334
],
[
-1.719103319482864,
48.119433912670814
],
[
-1.719100155838243,
48.11942728422706
],
[
-1.719100300322737,
48.119421511241704
],
[
-1.719105078349598,
48.119369321550984
],
[
-1.719114102438282,
48.119341467604
],
[
-1.719155615583747,
48.1193392233689
],
[
-1.719211723677349,
48.11930970753945
],
[
-1.719219158937424,
48.119349771811606
],
[
-1.719221925992744,
48.119357948402225
],
[
-1.719213110402879,
48.119391020198734
],
[
-1.719205814634798,
48.119408350438746
],
[
-1.719191781946735,
48.11942118130011
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.11938189588619,
"lon": -1.7191604371630314
}
}Record 2to: 55 · from: 50
{
"to": 55,
"from": 50,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.31773",
"period": "Ln",
"objectid": 31773,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.772913506143659,
48.142895253515015
],
[
-1.772903626264064,
48.14302263356601
],
[
-1.77286949780252,
48.143014677608534
],
[
-1.772837634004282,
48.14300500564372
],
[
-1.772687541197951,
48.14295013522114
],
[
-1.772685614629594,
48.142948232643626
],
[
-1.772685708295253,
48.14294633637108
],
[
-1.772681137956954,
48.142937694831204
],
[
-1.772724307752282,
48.142928424507296
],
[
-1.772913506143659,
48.142895253515015
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.14295415044503,
"lon": -1.772826447950521
}
}Record 3to: 75 · from: 70
{
"to": 75,
"from": 70,
"type": "Industriel",
"annee": 2021,
"gml_id": "bruit_isophone_2021.26799",
"period": "Lden",
"objectid": 26799,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.13224477433794,
"lon": -1.628164952383887
}
}Record 4to: 120 · from: 75
{
"to": 120,
"from": 75,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.33374",
"period": "Ln",
"objectid": 33374,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.15542294283426,
"lon": -1.5999472289110206
}
}Record 5to: 55 · from: 50
{
"to": 55,
"from": 50,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.31620",
"period": "Ln",
"objectid": 31620,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.756610843593208,
48.099150535728604
],
[
-1.756614756411662,
48.099172541695225
],
[
-1.756616420459812,
48.09919058561614
],
[
-1.756528489610331,
48.09927136116899
],
[
-1.756523001585627,
48.09929645953569
],
[
-1.756461954575733,
48.09934782700979
],
[
-1.756414176175323,
48.09938990442548
],
[
-1.756383213036247,
48.0994115512256
],
[
-1.756331943359924,
48.09945224113662
],
[
-1.756292363702493,
48.09947965123534
],
[
-1.756265158276509,
48.099480776910596
],
[
-1.756249925327373,
48.09948627331754
],
[
-1.756228350623664,
48.09949302336784
],
[
-1.756222871798345,
48.099455492590785
],
[
-1.756221726725472,
48.09945328713737
],
[
-1.756222721627812,
48.099354662024545
],
[
-1.756266598225592,
48.099303824920725
],
[
-1.756295472549871,
48.09926973883072
],
[
-1.756321787560994,
48.09923999395496
],
[
-1.756385095352465,
48.09917375442454
],
[
-1.756421883187062,
48.09914087277597
],
[
-1.756548021717635,
48.099131598197516
],
[
-1.756610843593208,
48.099150535728604
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.099292218249055,
"lon": -1.7563991641110697
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/cartographie-du-bruit-2021-sur-rennes-metropole-type-a-isophones0
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/cartographie-du-bruit-2021-sur-rennes-metropole-type-a-isophones0/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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