Hedgerows enrolled in agri-environmental and climate measures (AECM) / organic conversion (CAB) / organic maintenance (MAB) in Brittany (2018 CAP campaign enrolment confirmation)Haies engagées en MAEC / CAB / MAB en Bretagne (confirmation d’engagement de la campagne PAC 2018)
Haies engagées en MAEC / CAB / MAB en Bretagne (confirmation d’engagement de la campagne PAC 2018)Hedgerows enrolled in agri-environmental and climate measures (AECM) / organic conversion (CAB) / organic maintenance (MAB) in Brittany (2018 CAP campaign enrolment confirmation)
This dataset lists hedgerows in Brittany, France, that farmers have enrolled under Agri-Environmental and Climate Measures (MAEC), Conversion to Organic Farming (CAB), or Maintenance of Organic Farming (MAB) schemes. Farmers with multi-year commitments must confirm their enrolment each year during the annual Common Agricultural Policy (CAP) declaration campaign; this dataset reflects the confirmations recorded for the 2018 CAP campaign. It is published as open data via the Brittany regional open-data portal and is relevant to monitoring agri-environmental commitments and hedgerow conservation efforts across the region.Les exploitants agricoles engagés en Mesure Agro-Environnementale et Climatique (MAEC,) Conversion à l'Agriculture Biologique(CAB) ou Maintien en Agriculture Biologique (MAB) doivent chaque année confirmer leur engagement lors de la campagne PAC annuelle dans le cas d’un engagement pluriannuel. L...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (11 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | gml_idGml id | text | — |
| — | num_eleNum ele | text | — |
| — | long_graphiqueLong graphique | double | — |
| — | long_engageLong engage | double | — |
| — | dispositif | text | — |
| — | mesure | text | — |
| — | debut_engagementDebut engagement | text | — |
| — | fin_engagementFin engagement | text | — |
| 100% | etat | text | — |
Schema captured from opendatasoft 7 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 1etat: Instruit · gml_id: maec_2018_ligne.029038801L15
{
"etat": "Instruit",
"gml_id": "maec_2018_ligne.029038801L15",
"mesure": "BR_PAEA_HA03",
"num_ele": "L15",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-4.238670920027946,
48.30515010597168
],
[
-4.237443929852853,
48.305555249211096
]
]
]
},
"properties": {}
},
"dispositif": "MAEC_LOC_LP",
"long_engage": 102,
"geo_point_2d": {
"lat": 48.30535267759139,
"lon": -4.2380574249404
},
"fin_engagement": "2021",
"long_graphique": 102,
"debut_engagement": "2017"
}Record 2etat: Instruit · gml_id: maec_2018_ligne.029152396L11
{
"etat": "Instruit",
"gml_id": "maec_2018_ligne.029152396L11",
"mesure": "BR_PAEA_HA03",
"num_ele": "L11",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-3.939149785626498,
48.24212499701154
],
[
-3.939650582376983,
48.24204294539544
],
[
-3.940339176804989,
48.24191996504132
],
[
-3.940602937766578,
48.24188531984578
],
[
-3.940818297060766,
48.24185273387613
],
[
-3.941138183890945,
48.24182035291605
],
[
-3.941517114088661,
48.241790875590425
],
[
-3.941905754866999,
48.241753655273
],
[
-3.942338982686542,
48.241701859208405
],
[
-3.942441312350945,
48.241691053942304
],
[
-3.942771790120775,
48.24167398456529
]
]
]
},
"properties": {}
},
"dispositif": "MAEC_LOC_LP",
"long_engage": 274,
"geo_point_2d": {
"lat": 48.241864435181064,
"lon": -3.9409564729480526
},
"fin_engagement": "2021",
"long_graphique": 274,
"debut_engagement": "2017"
}Record 3etat: Instruit · gml_id: maec_2018_ligne.029152396L2
{
"etat": "Instruit",
"gml_id": "maec_2018_ligne.029152396L2",
"mesure": "BR_PAEA_HA03",
"num_ele": "L2",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-3.945053692152769,
48.2229628403326
],
[
-3.943417432249321,
48.22296269364701
]
]
]
},
"properties": {}
},
"dispositif": "MAEC_LOC_LP",
"long_engage": 122,
"geo_point_2d": {
"lat": 48.222962766989816,
"lon": -3.944235562201045
},
"fin_engagement": "2021",
"long_graphique": 122,
"debut_engagement": "2017"
}Record 4etat: Instruit · gml_id: maec_2018_ligne.029018738L5
{
"etat": "Instruit",
"gml_id": "maec_2018_ligne.029018738L5",
"mesure": "BR_PAEA_HA03",
"num_ele": "L5",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-4.021916613816933,
48.31328383950186
],
[
-4.021686779154799,
48.31323298047202
],
[
-4.021486094231175,
48.31318576382013
],
[
-4.021246791683429,
48.31311096988686
],
[
-4.021009485617919,
48.31304442122321
],
[
-4.020714022032541,
48.31297834239294
],
[
-4.020408901236025,
48.31296063725005
],
[
-4.02020949579665,
48.312949789192494
],
[
-4.019914511812543,
48.312947611845736
],
[
-4.019608555962933,
48.31297058322607
]
]
]
},
"properties": {}
},
"dispositif": "MAEC_LOC_LP",
"long_engage": 178,
"geo_point_2d": {
"lat": 48.31305017161088,
"lon": -4.020771164864904
},
"fin_engagement": "2021",
"long_graphique": 178,
"debut_engagement": "2017"
}Record 5etat: Instruit · gml_id: maec_2018_ligne.029161804L2
{
"etat": "Instruit",
"gml_id": "maec_2018_ligne.029161804L2",
"mesure": "BR_PAEA_HA03",
"num_ele": "L2",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-3.920584926374122,
48.328727804729326
],
[
-3.920512105953434,
48.32842400471509
],
[
-3.920476945513025,
48.32826595805025
],
[
-3.920437173778696,
48.32812729908376
],
[
-3.920382716608341,
48.32787718614216
],
[
-3.920324078750034,
48.32762253851331
],
[
-3.920289426389866,
48.32749552763726
],
[
-3.920239181373236,
48.3273861571904
],
[
-3.920169161473449,
48.327289894405496
],
[
-3.920073625986475,
48.3271903469853
]
]
]
},
"properties": {}
},
"dispositif": "MAEC_LOC_LP",
"long_engage": 176,
"geo_point_2d": {
"lat": 48.327933338132375,
"lon": -3.9203817258771467
},
"fin_engagement": "2021",
"long_graphique": 176,
"debut_engagement": "2017"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.bretagne.bzh/api/explore/v2.1/catalog/datasets/haies-engagees-en-maec-cab-mab-en-bretagne-confirmation-dengagement-de-la-campag
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.bretagne.bzh/api/explore/v2.1/catalog/datasets/haies-engagees-en-maec-cab-mab-en-bretagne-confirmation-dengagement-de-la-campag/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.