MOS 2017 in 11 Legend Classes for Île-de-FranceMOS 2017 en 11 postes de légende d'Île-de-France
MOS 2017 en 11 postes de légende d'Île-de-FranceMOS 2017 in 11 Legend Classes for Île-de-France
This dataset presents the 2017 land use map (Mode d'Occupation du Sol, MOS) for the Île-de-France region, classified into 11 legend categories. It is published via the Île-de-France regional open data portal and reflects land use conditions as surveyed in 2017. This version supersedes earlier MOS releases. The dataset is useful for spatial planning, environmental analysis, and monitoring land use change across the region. Users are directed to consult the accompanying metadata for further technical details on classification methodology and data structure.Situation 2017. Mode d'occupation du sol en Île-de-France en 2017 en 11 postes de légende. Cette couche remplace les versions précédentes. Consulter la métadonnée
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates (latitude, longitude) of the land parcel.Geographic centroid coordinates (latitude, longitude) of the land parcel. |
| geo_shapeShape | geo_shape | Geographic polygon geometry of the land use area.Geographic polygon geometry of the land use area. |
| et_idEt id | int | Unique identifier of the land use entity.Unique identifier of the land use entity. |
| objectid | int | Internal object identifier of the record.Internal object identifier of the record. |
| insee | int | INSEE code of the municipality where the area is located.INSEE code of the municipality where the area is located. |
| postes_mos2017mos2017_11 | int | Numeric code for the 2017 land use category (11-category classification).Numeric code for the 2017 land use category (11-category classification). |
| postes | text | Name of the land use category, e.g. Activités.Name of the land use category, e.g. Activités. |
| st_areashaSt areasha | double | Surface area of the land use polygon, in square metres.Surface area of the land use polygon, in square metres. |
| st_lengthsSt lengths | double | Perimeter length of the land use polygon, in metres.Perimeter length of the land use polygon, in metres. |
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.
Sample data (5 records)
These rows are ODbL-1.0: share-alike. Reusing them obliges you to license any derived database on the same terms.
Record 1et_id: 87156 · insee: 77438
{
"et_id": 87156,
"insee": 77438,
"postes": "Activités",
"objectid": 87157,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.679006097766301,
48.86502541683016
],
[
2.678766642478633,
48.864893983336216
],
[
2.678121789014306,
48.86539409914707
],
[
2.678361755642816,
48.865479030448604
],
[
2.678723309222059,
48.865280104905025
],
[
2.679006097766301,
48.86502541683016
]
]
]
},
"properties": {}
},
"st_areasha": 1647.47488214,
"st_lengths": 185.48268711510073,
"geo_point_2d": {
"lat": 48.86519740480404,
"lon": 2.6785826673378477
},
"postes_mos2017": null
}Record 2et_id: 39164 · insee: 77182
{
"et_id": 39164,
"insee": 77182,
"postes": "Activités",
"objectid": 39165,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
3.291429574062542,
48.77267924173252
],
[
3.290480541725977,
48.77217259407438
],
[
3.290520633460815,
48.772758609246864
],
[
3.291047570443349,
48.77303064611418
],
[
3.291429574062542,
48.77267924173252
]
]
]
},
"properties": {}
},
"st_areasha": 3370.34836172,
"st_lengths": 252.12782037720783,
"geo_point_2d": {
"lat": 48.77263704741107,
"lon": 3.2908764865777185
},
"postes_mos2017": null
}Record 3et_id: 2515 · insee: 75113
{
"et_id": 2515,
"insee": 75113,
"postes": "Espaces ouverts artificialisés",
"objectid": 2516,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.354084910984256,
48.824411791446686
],
[
2.353660930204664,
48.82418065324696
],
[
2.353562215700187,
48.824257241252255
],
[
2.353682292309202,
48.824405746973966
],
[
2.353864617015204,
48.8248930090613
],
[
2.354084910984256,
48.824411791446686
]
]
]
},
"properties": {}
},
"st_areasha": 1263.04223572,
"st_lengths": 181.97535154168872,
"geo_point_2d": {
"lat": 48.82447845802911,
"lon": 2.3538387493283066
},
"postes_mos2017": null
}Record 4et_id: 111486 · insee: 78092
{
"et_id": 111486,
"insee": 78092,
"postes": "Habitat collectif",
"objectid": 111487,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.136970041901656,
48.8657059631511
],
[
2.136875388246759,
48.86551694854763
],
[
2.136680352171185,
48.8655695290411
],
[
2.136411439231034,
48.86564203407403
],
[
2.13597549060453,
48.86558731067125
],
[
2.135883846729862,
48.8657670324444
],
[
2.135824339963464,
48.86588380652897
],
[
2.136628152746747,
48.865984140310395
],
[
2.137023407017392,
48.86599382615724
],
[
2.136970041901656,
48.8657059631511
]
]
]
},
"properties": {}
},
"st_areasha": 3184.76251555,
"st_lengths": 247.5205529978859,
"geo_point_2d": {
"lat": 48.86578090682736,
"lon": 2.1364805202493207
},
"postes_mos2017": null
}Record 5et_id: 97951 · insee: 77495
{
"et_id": 97951,
"insee": 77495,
"postes": "Carrières, décharges et chantiers",
"objectid": 97952,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.612405854011267,
48.572857431968316
],
[
2.610136163233735,
48.57276006546491
],
[
2.609544749023924,
48.572925977784585
],
[
2.609580643592343,
48.573005985518236
],
[
2.609739937060008,
48.573361042333204
],
[
2.610015056535955,
48.57401487616148
],
[
2.610064177846018,
48.57413161244352
],
[
2.610755358464431,
48.575774153885305
],
[
2.613021554422503,
48.57545250416864
],
[
2.613071746127287,
48.57415834732699
],
[
2.612917414953364,
48.57369995139922
],
[
2.61284824145718,
48.57349448692743
],
[
2.61264415770864,
48.572909823277705
],
[
2.612405854011267,
48.572857431968316
]
]
]
},
"properties": {}
},
"st_areasha": 65291.9029724,
"st_lengths": 1019.87836626,
"geo_point_2d": {
"lat": 48.574154518650644,
"lon": 2.6114846587357845
},
"postes_mos2017": null
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/mos2017_11_postes_2017_region_ile_de_france_wgs84
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/mos2017_11_postes_2017_region_ile_de_france_wgs84/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
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.