Noise 2017 - Areas exposed to aircraft noise (day, evening, night)Bruit 2017 - Zones exposées au bruit aérien (jour, soir, nuit)

Bruit 2017 - Zones exposées au bruit aérien (jour, soir, nuit)Noise 2017 - Areas exposed to aircraft noise (day, evening, night)

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This API provides the 2017 noise map for Entzheim and Neuhof airport, based on the Lden indicator, which combines day, evening and night noise levels. Published as part of the Strasbourg open data portal, it covers the Eurométropole de Strasbourg area in France. It supports analysis of aircraft noise exposure around the airport. 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 2017 Une information complète sur le bruit est disponible sur les pages dédiées de strasbourg.eu

environment

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Trust score

How is this computed?

fair

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

Data schema (8 fields)

Filterable via the API (6)

millesimecartesourceperiodevaleurcolor_data

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	Geographic coordinates (latitude/longitude) of the zone centroid.Geographic coordinates (latitude/longitude) of the zone centroid.
geo_shapeShape	geo_shape	Geometric outline of the noise exposure zone.Geometric outline of the noise exposure zone.
millesime	text	Reference year of the noise map data.Reference year of the noise map data.
carte	text	Code identifying the noise map source area.Code identifying the noise map source area.
source	text	Origin of the noise, such as airport traffic.Origin of the noise, such as airport traffic.
periode	text	Time-of-day period indicator for the noise measure (e.g. Lden).Time-of-day period indicator for the noise measure (e.g. Lden).
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 noise level on the map.Hexadecimal color code used to display the noise level on the map.

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 1carte: A · source: Aero

{
  "carte": "A",
  "source": "Aero",
  "valeur": "60-65",
  "periode": "Ld",
  "geo_shape": "[large value omitted]",
  "millesime": "2022",
  "color_data": "#F9C4A7",
  "geo_point_2d": {
    "lat": 48.55392719040194,
    "lon": 7.777963252551314
  }
}

Record 2carte: A · source: Aero

{
  "carte": "A",
  "source": "Aero",
  "valeur": "50-55",
  "periode": "Ld",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              7.6880399429,
              48.5727862375
            ],
            [
              7.688041874,
              48.5728041788
            ],
            [
              7.688006282,
              48.5727968414
            ],
            [
              7.6880399429,
              48.5727862375
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "millesime": "2022",
  "color_data": "#8FAF89",
  "geo_point_2d": {
    "lat": 48.57279575256666,
    "lon": 7.688029366300001
  }
}

Record 3carte: A · source: Aero

{
  "carte": "A",
  "source": "Aero",
  "valeur": "65-70",
  "periode": "Ld",
  "geo_shape": "[large value omitted]",
  "millesime": "2022",
  "color_data": "#D98396",
  "geo_point_2d": {
    "lat": 48.55424602756369,
    "lon": 7.777928128655008
  }
}

Record 4carte: A · source: Aero

{
  "carte": "A",
  "source": "Aero",
  "valeur": "65-70",
  "periode": "Ld",
  "geo_shape": "[large value omitted]",
  "millesime": "2022",
  "color_data": "#D98396",
  "geo_point_2d": {
    "lat": 48.53818214266617,
    "lon": 7.6284283353548865
  }
}

Record 5carte: A · source: Aero

{
  "carte": "A",
  "source": "Aero",
  "valeur": "55-60",
  "periode": "Ld",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              7.6880399429,
              48.5727862375
            ],
            [
              7.6880755349,
              48.5727935749
            ],
            [
              7.688041874,
              48.5728041788
            ],
            [
              7.6880399429,
              48.5727862375
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "millesime": "2022",
  "color_data": "#F9D7A2",
  "geo_point_2d": {
    "lat": 48.57279466373333,
    "lon": 7.6880524506
  }
}

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_aero_lda_ems2017

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_a_aero_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.

Full API documentation ↗

Rate limits

2 000 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

Last upstream update

2 years ago

2025-01-30

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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