Multi-exposure noise from road, rail, air and industrial sources - Lden Type A indicatorBruit multiexposition des sources routières ferrées aériennes et industrielles indicateur Lden de type A

Bruit multiexposition des sources routières ferrées aériennes et industrielles indicateur Lden de type AMulti-exposure noise from road, rail, air and industrial sources - Lden Type A indicator

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This API provides multi-exposure noise data, combining road, rail, air and industrial sources, using the Lden Type A map indicator for the Aix-Marseille-Provence metropolitan area. It is published by Métropole Aix-Marseille-Provence as part of its noise observatory. Geographic contours have been simplified (simplification level 0.0005) to improve performance. The dataset is intended to support environmental noise assessment and mapping across the metropolitan territory.n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n nBruit multiexposition (cumul des sources routières ferrées aériennes et industrielles) selon l'indicateur Lden carte de type A sur la Métropole Aix Marseille Provence. Pour des questions de performances, les contours géographiques ont été simplifiées (Niveau de simplification 0.0005).

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Trust score

How is this computed?

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Weighted across five axes. Tap a ring for what it measures.

Data schema (15 fields)

Filterable via the API (13)

idnom_donneecodeinseecodectcodecommanneecodedeptautoriteidcourbetypesourceindicetypeisophonevalidedeb

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	Geographic centroid coordinates (latitude, longitude) of the feature.Geographic centroid coordinates (latitude, longitude) of the feature.
—	geo_shapeShape	geo_shape	Simplified polygon geometry of the noise contour area.Simplified polygon geometry of the noise contour area.
—	id	double	Unique numeric identifier of the record.Unique numeric identifier of the record.
—	nom_donneeNom donnee	text	Name of the dataset or noise indicator category.Name of the dataset or noise indicator category.
—	codeinsee	text	INSEE code of the municipality concerned.INSEE code of the municipality concerned.
—	codect	text	Territorial code identifying the sub-area within the metropolis.Territorial code identifying the sub-area within the metropolis.
—	codecomm	text	Municipality code combining department and commune identifiers.Municipality code combining department and commune identifiers.
—	annee	text	Year the noise map data was produced.Year the noise map data was produced.
—	codedept	text	Code of the department where the feature is located.Code of the department where the feature is located.
—	autorite	text	SIREN number of the authority responsible for the data.SIREN number of the authority responsible for the data.
100%	idcourbe	double	Identifier of the noise contour curve.Identifier of the noise contour curve.
100%	typesource	text	Type of noise map, such as type A.Type of noise map, such as type A.
100%	indicetype	text	Type of noise indicator used, such as Lden.Type of noise indicator used, such as Lden.
100%	isophone	double	Noise level threshold in decibels represented by the contour.Noise level threshold in decibels represented by the contour.
100%	validedeb	text	Start date of validity for the data.Start date of validity for the data.

Schema captured from opendatasoft 2 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.

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Sample data (5 records)

Record 1id: 10820 · annee: 2022

{
  "id": 10820,
  "annee": "2022",
  "codect": "CT2",
  "autorite": "814 732 707",
  "codecomm": "132048",
  "codedept": "13",
  "idcourbe": 10820,
  "isophone": 70,
  "codeinsee": "13048",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.642437240318388,
            43.668344606815864
          ],
          [
            5.642306328463919,
            43.668373040111156
          ],
          [
            5.642259702778248,
            43.66852521384997
          ],
          [
            5.642294484422644,
            43.668438106781394
          ],
          [
            5.642437240318388,
            43.668344606815864
          ]
        ],
        [
          [
            5.642358391057646,
            43.66837443462245
          ],
          [
            5.642336073860343,
            43.66840143093514
          ],
          [
            5.642320248919213,
            43.66840403987235
          ],
          [
            5.642328610934823,
            43.668387521057866
          ],
          [
            5.642358391057646,
            43.66837443462245
          ]
        ]
      ]
    },
    "properties": {}
  },
  "validedeb": "27/06/2022",
  "indicetype": "Lden",
  "nom_donnee": "BRUIT_CUMULE",
  "typesource": "A",
  "geo_point_2d": {
    "lat": 43.668406122824045,
    "lon": 5.642335839852227
  }
}

Record 2id: 51331 · annee: 2022

{
  "id": 51331,
  "annee": "2022",
  "codect": "CT1",
  "autorite": "814 732 707",
  "codecomm": "131213",
  "codedept": "13",
  "idcourbe": 51331,
  "isophone": 55,
  "codeinsee": "13213",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.435544703112899,
            43.33127796054533
          ],
          [
            5.435501877928052,
            43.33125768622881
          ],
          [
            5.435197602442246,
            43.33131820444618
          ],
          [
            5.435257252434056,
            43.33139489588694
          ],
          [
            5.435544703112899,
            43.33127796054533
          ]
        ]
      ]
    },
    "properties": {}
  },
  "validedeb": "27/06/2022",
  "indicetype": "Lden",
  "nom_donnee": "BRUIT_CUMULE",
  "typesource": "A",
  "geo_point_2d": {
    "lat": 43.331323425667726,
    "lon": 5.435354510030848
  }
}

Record 3id: 10773 · annee: 2022

{
  "id": 10773,
  "annee": "2022",
  "codect": "CT2",
  "autorite": "814 732 707",
  "codecomm": "132048",
  "codedept": "13",
  "idcourbe": 10773,
  "isophone": 70,
  "codeinsee": "13048",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.637073677985262,
            43.66550380143352
          ],
          [
            5.637085448680694,
            43.66548109168104
          ],
          [
            5.636941497236053,
            43.66555202238618
          ],
          [
            5.636997694741186,
            43.66559292029115
          ],
          [
            5.637073677985262,
            43.66550380143352
          ]
        ]
      ]
    },
    "properties": {}
  },
  "validedeb": "27/06/2022",
  "indicetype": "Lden",
  "nom_donnee": "BRUIT_CUMULE",
  "typesource": "A",
  "geo_point_2d": {
    "lat": 43.66553931141872,
    "lon": 5.637011620448184
  }
}

Record 4id: 2134 · annee: 2022

{
  "id": 2134,
  "annee": "2022",
  "codect": "CT2",
  "autorite": "814 732 707",
  "codecomm": "132050",
  "codedept": "13",
  "idcourbe": 2134,
  "isophone": 75,
  "codeinsee": "13050",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.232016151215598,
            43.69879881580453
          ],
          [
            5.231951275256383,
            43.69875598673456
          ],
          [
            5.23182036495823,
            43.698790661108795
          ],
          [
            5.231973679059882,
            43.69887038603938
          ],
          [
            5.232016151215598,
            43.69879881580453
          ]
        ]
      ]
    },
    "properties": {}
  },
  "validedeb": "27/06/2022",
  "indicetype": "Lden",
  "nom_donnee": "BRUIT_CUMULE",
  "typesource": "A",
  "geo_point_2d": {
    "lat": 43.698809874126354,
    "lon": 5.231924603631818
  }
}

Record 5id: 51978 · annee: 2022

{
  "id": 51978,
  "annee": "2022",
  "codect": "CT1",
  "autorite": "814 732 707",
  "codecomm": "131210",
  "codedept": "13",
  "idcourbe": 51978,
  "isophone": 55,
  "codeinsee": "13210",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.393548375267602,
            43.28369194603393
          ],
          [
            5.392795417220873,
            43.283386657250816
          ],
          [
            5.392345714647528,
            43.2845539703612
          ],
          [
            5.393387463232069,
            43.28462613045652
          ],
          [
            5.393548375267602,
            43.28369194603393
          ]
        ],
        [
          [
            5.393434587791385,
            43.283677799912695
          ],
          [
            5.39332839198662,
            43.283722623522785
          ],
          [
            5.392780578503649,
            43.2835918894148
          ],
          [
            5.392873787373254,
            43.2834544145813
          ],
          [
            5.393434587791385,
            43.283677799912695
          ]
        ],
        [
          [
            5.393343113517856,
            43.28403865717644
          ],
          [
            5.393333147363213,
            43.28455778340945
          ],
          [
            5.392410907621497,
            43.284426778497945
          ],
          [
            5.392608955131294,
            43.28402220078984
          ],
          [
            5.393343113517856,
            43.28403865717644
          ]
        ]
      ]
    },
    "properties": {}
  },
  "validedeb": "27/06/2022",
  "indicetype": "Lden",
  "nom_donnee": "BRUIT_CUMULE",
  "typesource": "A",
  "geo_point_2d": {
    "lat": 43.28399374705635,
    "lon": 5.393005289055294
  }
}

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

Verification Status

Using the API

Configuration

Base URL: https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fr-observatoire-du-bruit-bruit_cumul

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fr-observatoire-du-bruit-bruit_cumul/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

5 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

53k

52655

Last upstream update

2 years ago

2025-04-24

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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