Urban heat and cool islands based on 2022 surface temperature analysisIlot de chaleur ou de fraicheur urbain basé sur l'analyse des températures de surface de 2022
Ilot de chaleur ou de fraicheur urbain basé sur l'analyse des températures de surface de 2022Urban heat and cool islands based on 2022 surface temperature analysis
This dataset from the Bordeaux Métropole open data portal provides polygon features mapping urban heat and cool islands, derived from an analysis of land surface temperatures recorded in 2022. It covers the Bordeaux Métropole area in France and is intended to support studies of urban microclimates and heat exposure. In addition to standard open data formats, the dataset is also available for download in AutoCAD DWG format, making it usable within GIS and CAD environments alike.Dictionnaire Public Ce jeu de données présente, sous la forme d'objets surfaciques, les ilots de chaleur ou de fraicheur urbains basés sur l'analyse des températures de surface de 2022. Ce jeu de données est disponible dans un format additionnel : Téléchargement au format AutoCAD DWG
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (10 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the area.Geographic centroid coordinates of the area. |
| geo_shapeShape | geo_shape | Polygon geometry of the heat/cool island area.Polygon geometry of the heat/cool island area. |
| gid | int | Primary key identifier of the record.Clé primaire |
| insee | text | INSEE code of the municipality.Code INSEE de la commune : Liste des valeurs possibles : 33003 : Ambarès-et-Lagrave 33004 : Ambès 33013 : Artigues-Près-Bordeaux 33032 : Bassens 33039 : Bègles 33056 : Blanquefort 33063 : Bordeaux 33065 : Bouliac 33069 : Le Bouscat 33075 : Bruges 33096 : Carbon-Blanc 33119 : Cenon 33162 : Eysines 33167 : Floirac 33192 : Gradignan 33200 : Le Haillan 33249 : Lormont 33273 : Martignas-sur-Jalle 33281 : Mérignac 33312 : Parempuyre 33318 : Pessac 33376 : Saint-Aubin-de-Médoc 33434 : Saint-Louis-de-Montferrand 33449 : Saint-Médard-en-Jalles 33487 : Saint-Vincent-de-Paul 33519 : Le Taillan-Médoc 33522 : Talence 33550 : Villenave-d'Ornon |
| cdate | datetime | Date the record was created.Date de création |
| mdate | datetime | Date the record was last modified.Date de modification |
| delta | double | Deviation from the average surface temperature.Ecart à la température moyenne |
| dimension | text | Geographic scale of the heat/cool island (municipality, metropolis, or territorial hub).Dimension géographique à laquelle se rapporte l'ICU ou l'IFU : Liste des valeurs possibles : COM : Commune BM : Bordeaux Métropole PT : Pôle territorial |
| date_releveDate releve | date | Date the surface temperature measurement was taken.Date de relevé des températures |
| geom_errGeom err | text | Geometric error code detected in the geometry.Code d'erreur géométrique : Liste des valeurs possibles : 9999 : Polygone compose et / ou à sections multiples 9998 : Linéaire compose et / ou à sections multiples 9996 : La géométrie contient des informations LRS 9995 : Nombre de dimensions différent de 2 ou 3 9994 : Présence d'un arc de cercle 9000 : Erreur autre 13343 : Polygone de moins de 4 points 13349 : Polygone papillon 13350 : Deux éléments d'un polygone archipel se touchent 13351 : Deux éléments d'un polygone archipel se touchent 13356 : Point double 13366 : Combinaison invalide d'intérieur / extérieur d'un polygone 13367 : Orientation invalide d'intérieur / extérieur d'un polygone |
Schema captured from opendatasoft 1 day 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 1gid: 1216643 · cdate: 2025-09-01T16:26:31+00:00
{
"gid": 1216643,
"cdate": "2025-09-01T16:26:31+00:00",
"delta": 5,
"insee": null,
"mdate": "2025-09-01T16:26:31+00:00",
"geom_err": null,
"dimension": "BM",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-0.6897952,
44.8434005
],
[
-0.6897779,
44.8431314
],
[
-0.6878882,
44.8431927
],
[
-0.6879054,
44.8434617
],
[
-0.6897952,
44.8434005
]
]
]
]
},
"properties": {}
},
"date_releve": "2022-07-11",
"geo_point_2d": {
"lat": 44.84329657415354,
"lon": -0.6888417353744032
}
}Record 2gid: 1272943 · cdate: 2025-09-01T16:27:10+00:00
{
"gid": 1272943,
"cdate": "2025-09-01T16:27:10+00:00",
"delta": -7,
"insee": "33063",
"mdate": "2025-09-01T16:27:10+00:00",
"geom_err": null,
"dimension": "COM",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-0.5692692,
44.8437017
],
[
-0.5692358,
44.8431636
],
[
-0.5688579,
44.8431754
],
[
-0.5688912,
44.8437136
],
[
-0.5692692,
44.8437017
]
]
]
]
},
"properties": {}
},
"date_releve": "2022-06-17",
"geo_point_2d": {
"lat": 44.84343858775384,
"lon": -0.5690635201212619
}
}Record 3gid: 1214014 · cdate: 2025-09-01T16:26:29+00:00
{
"gid": 1214014,
"cdate": "2025-09-01T16:26:29+00:00",
"delta": 3,
"insee": null,
"mdate": "2025-09-01T16:26:29+00:00",
"geom_err": null,
"dimension": "BM",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-0.7286321,
44.8758339
],
[
-0.7286147,
44.8755649
],
[
-0.7289928,
44.8755525
],
[
-0.7289754,
44.8752835
],
[
-0.7293536,
44.8752711
],
[
-0.7293013,
44.8744641
],
[
-0.7277887,
44.8745136
],
[
-0.7277713,
44.8742446
],
[
-0.7266369,
44.8742817
],
[
-0.7267065,
44.8753578
],
[
-0.7274628,
44.875333
],
[
-0.7274976,
44.8758711
],
[
-0.7286321,
44.8758339
]
]
]
]
},
"properties": {}
},
"date_releve": "2022-07-11",
"geo_point_2d": {
"lat": 44.875007998548135,
"lon": -0.7279612991157799
}
}Record 4gid: 1272259 · cdate: 2025-09-01T16:27:10+00:00
{
"gid": 1272259,
"cdate": "2025-09-01T16:27:10+00:00",
"delta": -7,
"insee": "33063",
"mdate": "2025-09-01T16:27:10+00:00",
"geom_err": null,
"dimension": "COM",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-0.5585705,
44.8666827
],
[
-0.5585372,
44.8661446
],
[
-0.5581591,
44.8661564
],
[
-0.5581923,
44.8666945
],
[
-0.5585705,
44.8666827
]
]
]
]
},
"properties": {}
},
"date_releve": "2022-06-17",
"geo_point_2d": {
"lat": 44.86641956182965,
"lon": -0.5583647759137139
}
}Record 5gid: 1244864 · cdate: 2025-09-01T16:26:51+00:00
{
"gid": 1244864,
"cdate": "2025-09-01T16:26:51+00:00",
"delta": 9,
"insee": null,
"mdate": "2025-09-01T16:26:51+00:00",
"geom_err": null,
"dimension": "PT",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-0.5272744,
44.8178226
],
[
-0.527225,
44.8170155
],
[
-0.5268472,
44.8170272
],
[
-0.5268801,
44.8175653
],
[
-0.5253689,
44.8176121
],
[
-0.5253853,
44.8178812
],
[
-0.5272744,
44.8178226
]
]
]
]
},
"properties": {}
},
"date_releve": "2022-07-11",
"geo_point_2d": {
"lat": 44.817595384103555,
"lon": -0.526530430623733
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/ri_icu_ifu_s
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/ri_icu_ifu_s/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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