Register record·API·FRSTALE · checked 4d ago
V
Urban Vegetation of Bordeaux MétropoleVégétation urbaine de Bordeaux Métropole
Végétation urbaine de Bordeaux MétropoleUrban Vegetation of Bordeaux Métropole
This dataset provides, on a 250-metre hexagonal grid, a set of indicators describing urban vegetation cover across the territory of Bordeaux Métropole, the local authority grouping Bordeaux and surrounding municipalities in France. The indicators are derived from automated detection of different vegetation classes using Pléiades Néo satellite imagery. It allows analysis of the spatial distribution and density of urban greenery at fine resolution, and can support urban planning, environmental monitoring, and studies on green space coverage within the metropolitan area.Ce jeu présente, à la maille hexagonal de 250 mètres, un ensemble d'indicateurs sur la végétalisation urbaine du territoire de Bordeaux Métropole. Ces indicateurs ont été calculés grâce à la détection automatisée de différentes classes de végétation à partir d'images satellites Pléiades Néo du te...
environment
Trust score
How is this computed?35
poor
Weighted across five axes. Tap a ring for what it measures.
Data schema (21 fields)
Filterable via the API (19)
gidnominseearea_m2a_artifp_artifa_vegp_vega_canp_cana_arbop_arboa_arbup_arbua_herbp_herba_evpubp_ev_pubnb_arbre
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | Geographic center point coordinates of the hexagon cell.Geographic center point coordinates of the hexagon cell. |
| — | geo_shapeShape | geo_shape | Geometric polygon shape of the hexagon cell.Geometric polygon shape of the hexagon cell. |
| — | gid | int | Primary key identifier for the record.Clé primaire |
| — | nomCommune | text | Name of the commune.Nom de la commune |
| — | insee | text | INSEE code identifying the commune.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 |
| — | area_m2Area m2 | int | Total area of the hexagon cell in square meters.surface en mètres carrés |
| — | a_artifA artif | int | Area within the cell classified as artificial surfaces, in square meters.surface de l'entité occupée par la classe "Surfaces-artificialisees" |
| — | p_artifP artif | double | Percentage of the cell's area classified as artificial surfaces.pourcentage de la surface de l'entité occupée par la classe "Surfaces-artificialisees" |
| — | a_vegA veg | int | Area within the cell covered by vegetation classes, in square meters.surface de l'entité occupée par des classes végétation* en mètres carrés |
| — | p_vegP veg | double | Percentage of the cell's area covered by vegetation classes.pourcentage de la surface de l'entité occupée par des classes végétation* |
| 100% | a_canA can | int | Area within the cell covered by canopy classes, in square meters.surface de l'entité occupée par des classes canopée* en mètre carré |
| 100% | p_canP can | double | Percentage of the cell's area covered by canopy classes.pourcentage de la surface de l'entité occupée par des classes canopée* |
| 100% | a_arboA arbo | int | Area within the cell covered by tall/tree vegetation, in square meters.surface de l'entité occupée par des classes végétation haute/arborée* en mètre carré |
| 100% | p_arboP arbo | double | Percentage of the cell's area covered by tall/tree vegetation.pourcentage de la surface de l'entité occupée par des classes végétation haute/arborée* |
| 100% | a_arbuA arbu | int | Area within the cell covered by low/shrub vegetation, in square meters.surface de l'entité occupée par des classes végétation basse/arbustive* en mètre carré |
| 100% | p_arbuP arbu | double | Percentage of the cell's area covered by low/shrub vegetation.pourcentage de la surface de l'entité occupée par des classes végétation basse/arbustive* |
| 100% | a_herbA herb | int | Area within the cell covered by low/herbaceous vegetation, in square meters.surface de l'entité occupée par des classes végétation basse/herbacée* en mètre carré |
| 100% | p_herbP herb | double | Percentage of the cell's area covered by low/herbaceous vegetation.pourcentage de la surface de l'entité occupée par des classes végétation basse/herbacée* |
| 100% | a_evpubA evpub | int | Area within the cell occupied by public green spaces, in square meters.surface de l'entité occupée par des espaces publics de classe végétation* en mètre carré |
| 100% | p_ev_pubP ev pub | double | Percentage of the cell's area made up of public green spaces.pourcentage de la surface de l'entité constituée d'espaces verts publics |
| 100% | nb_arbreNb arbre | int | Number of trees detected within the cell.nombre d'arbres détectés dans l'entité |
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 1gid: 169312 · nom: Le Taillan-Médoc
{
"gid": 169312,
"nom": "Le Taillan-Médoc",
"a_can": 30159,
"a_veg": 48711,
"insee": "33519",
"p_can": 55.77,
"p_veg": 90.08,
"a_arbo": 29470,
"a_arbu": 689,
"a_herb": 18552,
"p_arbo": 54.5,
"p_arbu": 1.27,
"p_herb": 34.31,
"a_artif": 5236,
"a_evpub": 605,
"area_m2": 54074,
"p_artif": 9.68,
"nb_arbre": 401,
"p_ev_pub": 1.12,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.674905313657497,
44.927985285939
],
[
-0.67406379508071,
44.92913847205938
],
[
-0.672237163273148,
44.92919733584222
],
[
-0.671252121218857,
44.92810301122651
],
[
-0.67209368098685,
44.92694984566745
],
[
-0.673920241619649,
44.92689098416273
],
[
-0.674905313657497,
44.927985285939
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.92804416312267,
"lon": -0.673078719306109
}
}Record 2gid: 155856 · nom: Pessac
{
"gid": 155856,
"nom": "Pessac",
"a_can": 19151,
"a_veg": 42823,
"insee": "33318",
"p_can": 35.41,
"p_veg": 79.18,
"a_arbo": 18562,
"a_arbu": 590,
"a_herb": 23672,
"p_arbo": 34.32,
"p_arbu": 1.09,
"p_herb": 43.77,
"a_artif": 3786,
"a_evpub": 1790,
"area_m2": 54081,
"p_artif": 7,
"nb_arbre": 183,
"p_ev_pub": 3.31,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.720398303278855,
44.7823688097124
],
[
-0.719559817525861,
44.783522353408586
],
[
-0.717737841843237,
44.78358194695635
],
[
-0.716754422724055,
44.78248799450162
],
[
-0.717592949525863,
44.78133447135115
],
[
-0.719414854399746,
44.78127488010967
],
[
-0.720398303278855,
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]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.782428416634254,
"lon": -0.7185763648829336
}
}Record 3gid: 180842 · nom: Bordeaux
{
"gid": 180842,
"nom": "Bordeaux",
"a_can": 8247,
"a_veg": 24062,
"insee": "33063",
"p_can": 15.25,
"p_veg": 44.49,
"a_arbo": 7200,
"a_arbu": 1047,
"a_herb": 15815,
"p_arbo": 13.31,
"p_arbu": 1.94,
"p_herb": 29.24,
"a_artif": 29753,
"a_evpub": 473,
"area_m2": 54078,
"p_artif": 55.02,
"nb_arbre": 223,
"p_ev_pub": 0.87,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.622875891141515,
44.842946380755386
],
[
-0.622034573313503,
44.84409919657537
],
[
-0.620210583499358,
44.84415722784392
],
[
-0.619227982488342,
44.843062441046534
],
[
-0.620069341311179,
44.841909645806986
],
[
-0.621893260152165,
44.84185161678426
],
[
-0.622875891141515,
44.842946380755386
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.84300442543477,
"lon": -0.6210519386510368
}
}Record 4gid: 134202 · nom: Martignas-sur-Jalle
{
"gid": 134202,
"nom": "Martignas-sur-Jalle",
"a_can": 50749,
"a_veg": 53912,
"insee": "33273",
"p_can": 93.84,
"p_veg": 99.69,
"a_arbo": 50547,
"a_arbu": 202,
"a_herb": 3162,
"p_arbo": 93.47,
"p_arbu": 0.37,
"p_herb": 5.85,
"a_artif": 167,
"a_evpub": 0,
"area_m2": 54079,
"p_artif": 0.31,
"nb_arbre": 1255,
"p_ev_pub": 0,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.811114414582603,
44.82891509989439
],
[
-0.810277067361927,
44.83006930518363
],
[
-0.808453715707786,
44.83013035112752
],
[
-0.807467782184494,
44.829037189420056
],
[
-0.808305170650406,
44.82788300464375
],
[
-0.810128451396228,
44.82782196106219
],
[
-0.811114414582603,
44.82891509989439
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.82897615918677,
"lon": -0.8092911003139086
}
}Record 5gid: 201108 · nom: Bordeaux
{
"gid": 201108,
"nom": "Bordeaux",
"a_can": 5655,
"a_veg": 15026,
"insee": "33063",
"p_can": 10.46,
"p_veg": 27.79,
"a_arbo": 5261,
"a_arbu": 394,
"a_herb": 9370,
"p_arbo": 9.73,
"p_arbu": 0.73,
"p_herb": 17.33,
"a_artif": 3368,
"a_evpub": 7057,
"area_m2": 54077,
"p_artif": 6.23,
"nb_arbre": 119,
"p_ev_pub": 13.05,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.542729638274033,
44.876996893558385
],
[
-0.541886219831635,
44.87814911154104
],
[
-0.540061072146631,
44.87820585893106
],
[
-0.539079413975393,
44.87711038614207
],
[
-0.539922873345688,
44.87595818876816
],
[
-0.541747949961164,
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],
[
-0.542729638274033,
44.876996893558385
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.87705365438804,
"lon": -0.5409045279224243
}
}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/met_vegetation_urbaine
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/met_vegetation_urbaine/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
50 000 req/day
per ipmeasured
observed 2 days ago
Dataset
Volume & freshness
Records
11k
11056
Last upstream update
2 years ago
2024-10-07
License
No license declared upstream.
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