Noise Mapping for Rennes Métropole - Type C threshold exceedancesCartographie du bruit sur Rennes Métropole - type c dépassements de seuil

Cartographie du bruit sur Rennes Métropole - type c dépassements de seuilNoise Mapping for Rennes Métropole - Type C threshold exceedances

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This dataset from Rennes Métropole provides noise level contour layers (isophones) showing threshold exceedances from various noise sources—road, rail, and industrial—measured over a 24-hour period (Lden) and at night (Ln). The rail network contours were updated in 2023 to account for the commissioning of the new high-speed rail line (LGV) and related infrastructure changes. The data supports noise pollution assessment and urban planning within the Rennes Métropole area.Couche d'isophones indiquant les dépassements de seuil de différentes sources de bruit (routier, ferré et industriel) 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 li...

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Data schema (9 fields)

Filterable via the API (7)

gml_idobjectidfromtoperiodtypeannee

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	Geographic centroid coordinates of the feature (latitude, longitude).Geographic centroid coordinates of the feature (latitude, longitude).
geo_shapeShape	geo_shape	Polygon geometry of the noise threshold exceedance zone.Polygon geometry of the noise threshold exceedance zone.
gml_idGml id	text	Unique GML identifier of the geographic feature.Unique GML identifier of the geographic feature.
objectid	int	Internal numeric identifier of the record.Internal numeric identifier of the record.
from	double	Lower bound in decibels of the noise threshold exceedance range.Lower bound in decibels of the noise threshold exceedance range.
to	double	Upper bound in decibels of the noise threshold exceedance range.Upper bound in decibels of the noise threshold exceedance range.
period	text	Noise indicator period, either 24-hour (Lden) or night (Ln).Noise indicator period, either 24-hour (Lden) or night (Ln).
type	text	Noise source category, such as road, rail or industrial.Noise source category, such as road, rail or industrial.
annee	int	Year the noise mapping data refers to.Year the noise mapping data refers to.

Schema captured from opendatasoft 2 days ago.

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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: 71

{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7174",
  "period": "Lden",
  "objectid": 7174,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.628739592408472,
            48.1320918216321
          ],
          [
            -1.628700049732089,
            48.13212512924687
          ],
          [
            -1.628648937920961,
            48.13214052123339
          ],
          [
            -1.628637853238156,
            48.13218196439385
          ],
          [
            -1.628618806691503,
            48.132152726291274
          ],
          [
            -1.628623992490415,
            48.132141524987695
          ],
          [
            -1.628633500018644,
            48.13213348361906
          ],
          [
            -1.628654831672729,
            48.13209523228285
          ],
          [
            -1.628694172815277,
            48.13205968020313
          ],
          [
            -1.628750784726281,
            48.132053077233905
          ],
          [
            -1.628739592408472,
            48.1320918216321
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.13210321461947,
    "lon": -1.6286860056920303
  }
}

Record 2to: 120 · from: 71

{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7206",
  "period": "Lden",
  "objectid": 7206,
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.132246251408645,
    "lon": -1.628158711571835
  }
}

Record 3to: 120 · from: 71

{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7146",
  "period": "Lden",
  "objectid": 7146,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.629675221008362,
            48.13197821170912
          ],
          [
            -1.629688045328574,
            48.13200860112408
          ],
          [
            -1.629634912308359,
            48.132043447200985
          ],
          [
            -1.629589379905099,
            48.13204302713303
          ],
          [
            -1.62957740063881,
            48.132013054217325
          ],
          [
            -1.629629018088876,
            48.13197781864551
          ],
          [
            -1.629675221008362,
            48.13197821170912
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.13201060140376,
    "lon": -1.6296325512015215
  }
}

Record 4to: 71 · from: 65

{
  "to": 71,
  "from": 65,
  "type": "Routier",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.6680",
  "period": "Ln",
  "objectid": 6680,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.615609262119081,
            48.10577694592009
          ],
          [
            -1.615597363065831,
            48.105758231632514
          ],
          [
            -1.615632315329543,
            48.10575043113881
          ],
          [
            -1.615653170175334,
            48.1057534683471
          ],
          [
            -1.615675263733769,
            48.10578537894438
          ],
          [
            -1.615676338663348,
            48.1057868675446
          ],
          [
            -1.6157060633695,
            48.1058364023121
          ],
          [
            -1.615666229612161,
            48.105867825624
          ],
          [
            -1.615642404783024,
            48.10582859606627
          ],
          [
            -1.615640364867938,
            48.10582534414191
          ],
          [
            -1.615610211033227,
            48.10577852968294
          ],
          [
            -1.615609262119081,
            48.10577694592009
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.105803084350455,
    "lon": -1.6156545088992886
  }
}

Record 5to: 120 · from: 71

{
  "to": 120,
  "from": 71,
  "type": "Routier",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.6253",
  "period": "Lden",
  "objectid": 6253,
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.09041582311563,
    "lon": -1.6742659504055708
  }
}

Live sample captured at profiling time — values may have changed upstream.

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Using the API

Configuration

Base URL: https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/cartographie-du-bruit-2021-sur-rennes-metropole-type-c-depassements-de-seuil0

License

Open Data Commons Open Database License 1.0Open

✓ 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-c-depassements-de-seuil0/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.

Full API documentation ↗

Rate limits

7 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

1.4k

1444

Last upstream update

3 days ago

2026-10-20

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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