Altimetric point grid (regular grid) – 2025 editionSemis altimétrique (grille régulière) – Millésime 2025

Semis altimétrique (grille régulière) – Millésime 2025Altimetric point grid (regular grid) – 2025 edition

APIDiscovered1/7blocked by verifiedQuery nowOpen workbench Subscribe🇫🇷France

This dataset provides a regular grid of altimetric (elevation) points, with the densest grid resolution reaching 10 metres. The points are derived from the 2025 lidar survey covering the Strasbourg area. Metadata describing the survey and processing methodology is available separately, and the data can be downloaded in GeoJSON format. The 2025 lidar acquisition was subsidised, supporting accurate terrain elevation modelling for the territory. The dataset is published as open data by the City and Eurométropole of Strasbourg and can be used for topographic analysis, planning, and other applications requiring precise ground elevation information.Ce jeu de données correspond à une grille régulière de points altimétriques (résolution de grille la plus dense = 10m). Les points sont issus du relevé lidar 2025. Les métadonnées sont consultables via ce lien . Les données peuvent être téléchargées au format geojson. Le LIDAR 2025 a été subventi...

environmentgeospatial

⬇ Export CSV List records Select & filter Run verified request Read the docs

Trust score

How is this computed?

poor

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

Data schema (5 fields)

Filterable via the API (3)

liennomdallenom_fichier

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	Geographic centroid coordinates of the tile.Geographic centroid coordinates of the tile.
geo_shapeShape	geo_shape	Polygon geometry outlining the tile boundary.Polygon geometry outlining the tile boundary.
lien	text	Download link for the tile's data file.Lien de téléchargement
nomdalle	text	Name identifier of the tile.Nom de la dalle
nom_fichierNom fichier	text	Name of the associated geojson file.Name of the associated geojson file.

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.

Where=

Sort by

Sample data (5 records)

Record 1lien: https://3d.strasbourg.eu/DATA/LIDAR_2025 · nomdalle: 2051500_7260500

{
  "lien": "https://3d.strasbourg.eu/DATA/LIDAR_2025/POINTS_SOL/2051500_7260500_points_sol_lidar_2025.geojson",
  "nomdalle": "2051500_7260500",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.7617895451,
            48.4508298877
          ],
          [
            7.7550427917,
            48.4511072469
          ],
          [
            7.7546261832,
            48.4466191074
          ],
          [
            7.7613723485,
            48.4463417721
          ],
          [
            7.7617895451,
            48.4508298877
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nom_fichier": "2051500_7260500_points_sol_lidar_2025.geojson",
  "geo_point_2d": {
    "lat": 48.44872453612529,
    "lon": 7.758207720187919
  }
}

Record 2lien: https://3d.strasbourg.eu/DATA/LIDAR_2025 · nomdalle: 2044500_7270000

{
  "lien": "https://3d.strasbourg.eu/DATA/LIDAR_2025/POINTS_SOL/2044500_7270000_points_sol_lidar_2025.geojson",
  "nomdalle": "2044500_7270000",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.6751122902,
            48.5399561591
          ],
          [
            7.6683533267,
            48.540228464
          ],
          [
            7.6679435921,
            48.5357401456
          ],
          [
            7.6747019653,
            48.5354678641
          ],
          [
            7.6751122902,
            48.5399561591
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nom_fichier": "2044500_7270000_points_sol_lidar_2025.geojson",
  "geo_point_2d": {
    "lat": 48.53784819086343,
    "lon": 7.671527796606908
  }
}

Record 3lien: https://3d.strasbourg.eu/DATA/LIDAR_2025 · nomdalle: 2052500_7273000

{
  "lien": "https://3d.strasbourg.eu/DATA/LIDAR_2025/POINTS_SOL/2052500_7273000_points_sol_lidar_2025.geojson",
  "nomdalle": "2052500_7273000",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.7857660016,
            48.5624730826
          ],
          [
            7.7790046594,
            48.5627518269
          ],
          [
            7.7785850408,
            48.5582639381
          ],
          [
            7.7853457923,
            48.5579852178
          ],
          [
            7.7857660016,
            48.5624730826
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nom_fichier": "2052500_7273000_points_sol_lidar_2025.geojson",
  "geo_point_2d": {
    "lat": 48.56036854902114,
    "lon": 7.782175376626149
  }
}

Record 4lien: https://3d.strasbourg.eu/DATA/LIDAR_2025 · nomdalle: 2052000_7281000

{
  "lien": "https://3d.strasbourg.eu/DATA/LIDAR_2025/POINTS_SOL/2052000_7281000_points_sol_lidar_2025.geojson",
  "nomdalle": "2052000_7281000",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.7857285814,
            48.6345568746
          ],
          [
            7.7789577013,
            48.6348356093
          ],
          [
            7.7785374949,
            48.6303478356
          ],
          [
            7.7853077827,
            48.6300691249
          ],
          [
            7.7857285814,
            48.6345568746
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nom_fichier": "2052000_7281000_points_sol_lidar_2025.geojson",
  "geo_point_2d": {
    "lat": 48.63245239381234,
    "lon": 7.7821328931883
  }
}

Record 5lien: https://3d.strasbourg.eu/DATA/LIDAR_2025 · nomdalle: 2043000_7278500

{
  "lien": "https://3d.strasbourg.eu/DATA/LIDAR_2025/POINTS_SOL/2043000_7278500_points_sol_lidar_2025.geojson",
  "nomdalle": "2043000_7278500",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.661791578,
            48.6170728145
          ],
          [
            7.6550223472,
            48.6173443363
          ],
          [
            7.6546131649,
            48.6128560921
          ],
          [
            7.6613818036,
            48.6125845937
          ],
          [
            7.661791578,
            48.6170728145
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nom_fichier": "2043000_7278500_points_sol_lidar_2025.geojson",
  "geo_point_2d": {
    "lat": 48.614964491863134,
    "lon": 7.658202226453511
  }
}

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/points_alti_sol_grille_reguliere_2025

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/points_alti_sol_grille_reguliere_2025/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 3 days ago

Dataset

Volume & freshness

Records

1.7k

1659

Last upstream update

7 months ago

2026-03-19

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.