Building elevation-raising potentialPotentiel de surélévation des bâtiments
Potentiel de surélévation des bâtimentsBuilding elevation-raising potential
This API provides data from a study assessing the potential for adding extra storeys (surélévation) to existing buildings across the Eurométropole de Strasbourg territory. The study was carried out by Upfactor using GIS data from the Eurométropole de Strasbourg, including buildings from the Référentiel à Très Grande Echelle (RTGE), a digital terrain model derived from 2021 LIDAR surveys, and the local urban planning plan (Plan local d'urbanisme). It is published as open data and can support urban planning, densification analysis, and real estate development assessments within the metropolitan area.Etude des potentiels de surélévation des bâtiments sur le territoire de l'Eurométropole de Strasbourg réalisée par Upfactor sur base des données issues du SIG de l'Eurométropole de Strasbourg : bâtiments du Référentiel à Très Grande Echelle (RTGE) MNT d'après le LIDAR 2021 Plan local d'urbanisme...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (12 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | upfactor_idIdentifiant | text | Unique identifier of the building in the Upfactor reference system.identifiant unique du bâtiment dans le référentiel UPFACTOR |
| 100% | nombre_de_niveaux_potentielsNombre de niveaux potentiels | int | Estimated number of additional storeys the building could support.nombre de niveaux potentiels en surélévation estimé par le cacul upfactor |
| 40.4% | classification | text | Storey-count classification for potentials exceeding 100 m².classification par nombre d'étage pour les potentiels de surface supérieurs à 100m² |
| 100% | potentiel_totalPotentiel total | int | Estimated total extra floor area achievable, in square metres.potentiel en m² estimé par le calcul upfactor |
| 100% | potentiel_redressement_de_comblePotentiel redressement de comble | int | Estimated floor area gained by converting the existing attic space, in square metres.potentiel en m² situé en dessous du point le plus haut de la toiture, estimé par le calcul upfactor (on considère qu'une surélévation dans le volume des combles existants constitue un « redressement » des combles) |
| 100% | potentiel_1_niveauPotentiel 1 niveau | int | Estimated extra floor area achievable with one additional storey, in square metres.surface qu’il est possible de développer sur 1 niveau |
| 100% | potentiel_2_niveauxPotentiel 2 niveaux | int | Estimated extra floor area achievable with two additional storeys, in square metres.surface qu’il est possible de développer sur 2 niveaux |
| 27% | dpe_conso_moyenneDPE (moyenne) | text | Average energy performance label of the building, from the ADEME DPE database.étiquette énergétique moyenne du bâtiment, issue de la base des DPE (ADEME) |
| 99.6% | usage | text | Building usage category according to the IGN BD TOPO reference dataset.indique l'usage du bâtiment dans le référentiel BD TOPO de l'IGN |
| 100% | lien_odacitLien odacit | text | Link to the building's 3D view on the Odacit Strasbourg platform.Link to the building's 3D view on the Odacit Strasbourg platform. |
| — | geo_shapeShape | geo_shape | Geographic boundary of the building as a GeoJSON shape.Geographic boundary of the building as a GeoJSON shape. |
| — | geo_point_2dGeo Point | geo_point_2d | Geographic coordinates (latitude and longitude) of the building.Geographic coordinates (latitude and longitude) of the building. |
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.
Sample data (5 records)
Record 1usage: Résidentiel · geo_shape: {"type":"Feature","geometry":{"type":"Mu
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"properties": {}
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"lien_odacit": "https://odacit.3d.strasbourg.eu/?open0=enablesurelevation_GEI&X=2042788.5233113691&Y=7267064.495989488&Z=195&heading=0&pitch=-0.6&roll=0",
"upfactor_id": "GEI_5825",
"geo_point_2d": {
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"classification": "1",
"potentiel_total": 137,
"dpe_conso_moyenne": "D",
"potentiel_1_niveau": 137,
"potentiel_2_niveaux": 137,
"nombre_de_niveaux_potentiels": 1,
"potentiel_redressement_de_comble": 137
}Record 2usage: Indifférencié · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
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"lien_odacit": "https://odacit.3d.strasbourg.eu/?open0=enablesurelevation_STR_D&X=2051016.3742924058&Y=7273792.940640461&Z=195&heading=0&pitch=-0.6&roll=0",
"upfactor_id": "STR_19219",
"geo_point_2d": {
"lat": 48.566772919113525,
"lon": 7.759238304514291
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"classification": "2",
"potentiel_total": 254,
"dpe_conso_moyenne": "E",
"potentiel_1_niveau": 157,
"potentiel_2_niveaux": 254,
"nombre_de_niveaux_potentiels": 2,
"potentiel_redressement_de_comble": 0
}Record 3usage: Résidentiel · geo_shape: {"type":"Feature","geometry":{"type":"Mu
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"lien_odacit": "https://odacit.3d.strasbourg.eu/?open0=enablesurelevation_LAM&X=2046083.1535346638&Y=7282925.887463588&Z=195&heading=0&pitch=-0.6&roll=0",
"upfactor_id": "LAM_839",
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"classification": null,
"potentiel_total": 94,
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"potentiel_1_niveau": 94,
"potentiel_2_niveaux": 94,
"nombre_de_niveaux_potentiels": 1,
"potentiel_redressement_de_comble": 0
}Record 4usage: Résidentiel · geo_shape: {"type":"Feature","geometry":{"type":"Mu
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"lien_odacit": "https://odacit.3d.strasbourg.eu/?open0=enablesurelevation_STR_H&X=2052201.3279530741&Y=7270532.4510074565&Z=195&heading=0&pitch=-0.6&roll=0",
"upfactor_id": "STR_32786",
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"classification": "2",
"potentiel_total": 157,
"dpe_conso_moyenne": null,
"potentiel_1_niveau": 62,
"potentiel_2_niveaux": 157,
"nombre_de_niveaux_potentiels": 2,
"potentiel_redressement_de_comble": 95
}Record 5usage: Résidentiel · geo_shape: {"type":"Feature","geometry":{"type":"Mu
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"lien_odacit": "https://odacit.3d.strasbourg.eu/?open0=enablesurelevation_MIT&X=2045436.36410392&Y=7278636.506067129&Z=195&heading=0&pitch=-0.6&roll=0",
"upfactor_id": "MIT_760",
"geo_point_2d": {
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"classification": "1",
"potentiel_total": 108,
"dpe_conso_moyenne": "D",
"potentiel_1_niveau": 108,
"potentiel_2_niveaux": 108,
"nombre_de_niveaux_potentiels": 1,
"potentiel_redressement_de_comble": 0
}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/potentiel_surelevation_upfactor
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/potentiel_surelevation_upfactor/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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