Federate official Belgium data sources

backend/README.md

@@ -1854,21 +1854,25 @@ readiness state such as TLS or endpoint failure. Runtime controls are
 `MDK_BATHYMETRY_PROBE_TIMEOUT_SECONDS` and
 `MDK_BATHYMETRY_PROBE_MAX_RESPONSE_MB`. TLS verification cannot be disabled.
 
-## Governed forest, agriculture, nature and soil acquisition
+## Governed regional official-vector acquisition
 
 The thematic raster registry includes forest and agricultural land-use masks
 derived from Landgebruik Vlaanderen 2025 classes 12 and 13/14. They use the
 existing thematic acquisition and selection routes.
 
-Two polygon products are exposed through
+Eight fixed products are exposed through
 `/datasets/official-vector/products` and
-`/datasets/official-vector/acquire`: INBO BWK/Natura 2000 2025 and the DOV
-digital soil map. Both require an EPSG:4326 rectangle, optionally intersect it
-with a persisted Area, clip in EPSG:31370 and persist through
-`DatasetService.import_vector_bytes`.
+`/datasets/official-vector/acquire`: INBO BWK/Natura 2000 2025 and DOV soil
+for Flanders; PICC buildings, roads, hydrographic axes and surfaces for
+Wallonia; and UrbIS buildings and cadastral parcels for Brussels. All require
+an EPSG:4326 rectangle, clip in a provider-appropriate metric CRS and persist
+through `DatasetService.import_vector_bytes`. SPW/PICC and UrbIS additionally
+require a persisted exact regional coverage Area and never write directly to
+`vector_features`.
 
 Runtime controls are `OFFICIAL_VECTOR_ENABLED`, `BWK_WFS_URL`,
-`DOV_SOIL_WFS_URL`, `OFFICIAL_VECTOR_MIN_SIDE_M`,
+`DOV_SOIL_WFS_URL`, `SPW_PICC_ENABLED`, `SPW_PICC_MAPSERVER_URL`,
+`URBIS_ENABLED`, `URBIS_WFS_URL`, `OFFICIAL_VECTOR_MIN_SIDE_M`,
 `OFFICIAL_VECTOR_MAX_SIDE_M`, `OFFICIAL_VECTOR_PAGE_SIZE`,
 `OFFICIAL_VECTOR_MAX_PAGES`, `OFFICIAL_VECTOR_MAX_FEATURES`,
 `OFFICIAL_VECTOR_TIMEOUT_SECONDS`, `OFFICIAL_VECTOR_MAX_RESPONSE_MB`,

backend/app/core/config.py

@@ -152,6 +152,19 @@ class Settings(BaseSettings):
         le=8760,
         validation_alias="OFFICIAL_VECTOR_CACHE_TTL_HOURS",
     )
+    spw_picc_enabled: bool = Field(default=True, validation_alias="SPW_PICC_ENABLED")
+    spw_picc_mapserver_url: str = Field(
+        default=(
+            "https://geoservices.wallonie.be/arcgis/rest/services/"
+            "TOPOGRAPHIE/PICC_VDIFF/MapServer"
+        ),
+        validation_alias="SPW_PICC_MAPSERVER_URL",
+    )
+    urbis_enabled: bool = Field(default=True, validation_alias="URBIS_ENABLED")
+    urbis_wfs_url: str = Field(
+        default="https://geoservices-vector.irisnet.be/geoserver/urbisvector/ows",
+        validation_alias="URBIS_WFS_URL",
+    )
     dhmv_enabled: bool = Field(default=True, validation_alias="DHMV_ENABLED")
     dhmv_wcs_url: str = Field(
         default="https://geo.api.vlaanderen.be/DHMV/wcs",

backend/app/schemas/official_vector.py

@@ -32,6 +32,7 @@ class OfficialVectorProductRead(BaseModel):
     attribution: str
     license_note: str
     limitation_message: str
+    coverage_zones: list[str]
 
 
 class OfficialVectorAcquisitionResult(BaseModel):

backend/app/services/coverage_registry_service.py

@@ -79,6 +79,7 @@ class _SourceDefinition:
     contract: CoverageSourceContract
     materialized_layer_names: tuple[str, ...] = ()
     materialized_source_names: tuple[str, ...] = ()
+    operational_themes: tuple[str, ...] = ()
 
 
 def _contract(
@@ -98,6 +99,7 @@ def _contract(
     limitation_message: str,
     materialized_layer_names: tuple[str, ...] = (),
     materialized_source_names: tuple[str, ...] = (),
+    operational_themes: tuple[str, ...] = (),
 ) -> _SourceDefinition:
     return _SourceDefinition(
         contract=CoverageSourceContract(
@@ -117,6 +119,7 @@ def _contract(
         ),
         materialized_layer_names=materialized_layer_names,
         materialized_source_names=materialized_source_names or (source_name,),
+        operational_themes=operational_themes,
     )
 
 
@@ -156,12 +159,17 @@ SOURCE_DEFINITIONS = (
         themes=("admin", "population"),
         native_layers=("statistical_sectors", "population_statistics"),
         geometry_types=("Polygon", "MultiPolygon", "Tabular"),
-        acquisition_mode="catalog_only",
-        integration_status="not_configured",
+        acquisition_mode="operator_archive",
+        integration_status="operational",
         source_url="https://statbel.fgov.be/en/open-data",
         attribution="Statbel",
         license_note="Consult the license of the selected Statbel release.",
-        limitation_message="The catalog is audited, but no national bounded acquisition adapter is configured yet.",
+        limitation_message=(
+            "National editions require the governed plan-stage-review-apply operator; "
+            "population in partially selected sectors is area-weighted."
+        ),
+        materialized_layer_names=("population",),
+        operational_themes=("population",),
     ),
     _contract(
         source_name="digitaal_vlaanderen",
@@ -219,12 +227,17 @@ SOURCE_DEFINITIONS = (
         ),
         native_layers=("PICC", "orthophotos", "MNT", "hydrography", "land_cover"),
         geometry_types=("Point", "LineString", "Polygon", "MultiPolygon", "Raster"),
-        acquisition_mode="catalog_only",
-        integration_status="not_configured",
+        acquisition_mode="bounded_api",
+        integration_status="operational",
         source_url="https://geoportail.wallonie.be/catalogue",
         attribution="Service public de Wallonie",
         license_note="Consult the license of each Geoportail Wallonie product.",
-        limitation_message="Official sources are identified, but bounded acquisition and metric adapters are not implemented.",
+        limitation_message=(
+            "Bounded PICC buildings, road axes and hydrography are operational; "
+            "other Walloon themes remain unavailable until separately governed."
+        ),
+        materialized_source_names=("spw_picc",),
+        operational_themes=("buildings", "roads", "surface_water"),
     ),
     _contract(
         source_name="urbis",
@@ -234,12 +247,17 @@ SOURCE_DEFINITIONS = (
         themes=("buildings", "roads", "surface_water", "land_cover_use", "parcels", "orthophoto"),
         native_layers=("parcels", "buildings", "roads", "hydrography", "orthophoto"),
         geometry_types=("Point", "LineString", "Polygon", "MultiPolygon", "Raster"),
-        acquisition_mode="catalog_only",
-        integration_status="not_configured",
+        acquisition_mode="bounded_api",
+        integration_status="operational",
         source_url="https://datastore.brussels",
         attribution="Brussels UrbIS",
         license_note="Consult the license of the selected UrbIS dataset.",
-        limitation_message="Official sources are identified, but bounded acquisition and metric adapters are not implemented.",
+        limitation_message=(
+            "Bounded UrbIS buildings and cadastral parcels are operational; "
+            "other Brussels themes remain unavailable until separately governed."
+        ),
+        materialized_source_names=("urbis",),
+        operational_themes=("buildings", "parcels"),
     ),
     _contract(
         source_name="rbins_marine_reporting_units",
@@ -330,6 +348,18 @@ FLANDERS_THEME_DATASETS: dict[str, dict[str, tuple[str, ...]]] = {
     "flood_climate": {"vmm_flood_hazard": ()},
 }
 
+REGIONAL_THEME_DATASETS: dict[str, dict[str, tuple[str, ...]]] = {
+    "spw_geoportail": {
+        "buildings": ("buildings",),
+        "roads": ("roads",),
+        "surface_water": ("water",),
+    },
+    "urbis": {
+        "buildings": ("buildings",),
+        "parcels": ("parcels",),
+    },
+}
+
 
 class CoverageRegistryService:
     @staticmethod
@@ -403,6 +433,11 @@ class CoverageRegistryService:
                 if dataset.source_name not in theme_sources:
                     continue
                 layer_names = theme_sources[dataset.source_name]
+            elif definition.contract.source_name in REGIONAL_THEME_DATASETS:
+                theme_layers = REGIONAL_THEME_DATASETS[definition.contract.source_name].get(theme)
+                if theme_layers is None:
+                    continue
+                layer_names = theme_layers
             metadata = dataset.source_metadata if isinstance(dataset.source_metadata, dict) else {}
             coverage_zones = metadata.get("coverage_zones") or metadata.get("coverage_zone") or []
             if isinstance(coverage_zones, str):
@@ -448,10 +483,17 @@ class CoverageRegistryService:
             materialized.extend(matches)
             if matches:
                 source_statuses.append("operational")
-            elif definition.contract.integration_status == "operational":
+            elif (
+                definition.contract.integration_status == "operational"
+                and (not definition.operational_themes or theme in definition.operational_themes)
+            ):
                 source_statuses.append("partial")
             else:
-                source_statuses.append(definition.contract.integration_status)
+                source_statuses.append(
+                    "not_configured"
+                    if definition.contract.integration_status == "operational"
+                    else definition.contract.integration_status
+                )
             limitations.append(definition.contract.limitation_message)
 
         best_status = max(source_statuses, key=STATUS_RANK.__getitem__)

backend/app/services/official_vector_acquisition_service.py

@@ -15,7 +15,7 @@ from uuid import UUID
 
 from geoalchemy2.shape import to_shape
 from pyproj import Transformer
-from shapely.geometry import MultiPolygon, Polygon, box, mapping, shape
+from shapely.geometry import LineString, MultiLineString, MultiPolygon, Polygon, box, mapping, shape
 from shapely.ops import transform, unary_union
 from shapely.validation import make_valid
 
@@ -60,11 +60,17 @@ class OfficialVectorProduct:
     license_note: str
     limitation_message: str
     source: str
-    observed_at: datetime
+    observed_at: datetime | None
     valid_from: datetime | None
     valid_to: datetime | None
     primary_metric: dict[str, Any]
     selection_metrics: tuple[dict[str, Any], ...]
+    geometry_types: tuple[str, ...] = ("Polygon", "MultiPolygon")
+    coverage_zones: tuple[str, ...] = ("flanders",)
+    endpoint_kind: str = "wfs"
+    response_crs: str = "EPSG:4326"
+    identity_field: str | None = None
+    requires_coverage_area: bool = False
 
 
 class OfficialVectorAcquisitionService:
@@ -178,6 +184,7 @@ class OfficialVectorAcquisitionService:
                         "warning_only_when_estimate": False,
                     },
                 ),
+                endpoint_kind="bwk_wfs",
             ),
             OfficialVectorProduct(
                 key="dov_soil_types",
@@ -252,6 +259,307 @@ class OfficialVectorAcquisitionService:
                         "filter_values": ["Antropogeen"],
                     },
                 ),
+                endpoint_kind="dov_wfs",
+            ),
+            OfficialVectorProduct(
+                key="spw_picc_buildings",
+                display_name="PICC building footprints",
+                theme="buildings",
+                provider="Service public de Wallonie",
+                source_name="spw_picc",
+                reference_layer_name="buildings",
+                service_type="ArcGIS REST",
+                collection="11",
+                source_crs="EPSG:3812",
+                source_version="2026-07-11",
+                observation_label="Weekly updated PICC snapshot",
+                authority_level="authoritative",
+                catalog_url=(
+                    "https://geoportail.wallonie.be/catalogue/"
+                    "b795de68-726c-4bdf-a62a-a42686aa5b6f.html"
+                ),
+                attribution="Service public de Wallonie (SPW) - PICC",
+                license_note="CC BY 4.0; cite SPW PICC and identify modifications.",
+                limitation_message=(
+                    "Topographic building footprints from PICC; these are not cadastral parcels "
+                    "or legal building registrations."
+                ),
+                source="SPW PICC ArcGIS REST",
+                observed_at=None,
+                valid_from=None,
+                valid_to=None,
+                primary_metric={
+                    "metric_key": "building_footprint_area",
+                    "method": "intersection_area",
+                    "label": "Bebouwde voetafdruk",
+                    "unit": "ha",
+                    "geometry_dimension": 2,
+                    "is_estimate": False,
+                },
+                selection_metrics=(
+                    {
+                        "metric_key": "building_count",
+                        "method": "feature_count",
+                        "label": "Gebouwen",
+                        "unit": "objecten",
+                        "geometry_dimension": 2,
+                    },
+                ),
+                coverage_zones=("wallonia",),
+                endpoint_kind="spw_arcgis",
+                identity_field="GEOREF_ID",
+                requires_coverage_area=True,
+            ),
+            OfficialVectorProduct(
+                key="spw_picc_roads",
+                display_name="PICC road axes",
+                theme="roads",
+                provider="Service public de Wallonie",
+                source_name="spw_picc",
+                reference_layer_name="roads",
+                service_type="ArcGIS REST",
+                collection="21",
+                source_crs="EPSG:3812",
+                source_version="2026-07-11",
+                observation_label="Weekly updated PICC snapshot",
+                authority_level="authoritative",
+                catalog_url=(
+                    "https://geoportail.wallonie.be/catalogue/"
+                    "b795de68-726c-4bdf-a62a-a42686aa5b6f.html"
+                ),
+                attribution="Service public de Wallonie (SPW) - PICC",
+                license_note="CC BY 4.0; cite SPW PICC and identify modifications.",
+                limitation_message=(
+                    "PICC road axes describe topographic road geometry and are not a routing "
+                    "network or a traffic measurement."
+                ),
+                source="SPW PICC ArcGIS REST",
+                observed_at=None,
+                valid_from=None,
+                valid_to=None,
+                primary_metric={
+                    "metric_key": "road_length",
+                    "method": "intersection_length",
+                    "label": "Wegaslengte",
+                    "unit": "km",
+                    "geometry_dimension": 1,
+                    "is_estimate": False,
+                },
+                selection_metrics=(
+                    {
+                        "metric_key": "road_segment_count",
+                        "method": "feature_count",
+                        "label": "Wegsegmenten",
+                        "unit": "objecten",
+                        "geometry_dimension": 1,
+                    },
+                ),
+                geometry_types=("LineString", "MultiLineString"),
+                coverage_zones=("wallonia",),
+                endpoint_kind="spw_arcgis",
+                identity_field="GEOREF_ID",
+                requires_coverage_area=True,
+            ),
+            OfficialVectorProduct(
+                key="spw_picc_waterways",
+                display_name="PICC hydrographic axes",
+                theme="water",
+                provider="Service public de Wallonie",
+                source_name="spw_picc",
+                reference_layer_name="water",
+                service_type="ArcGIS REST",
+                collection="28",
+                source_crs="EPSG:3812",
+                source_version="2026-07-11",
+                observation_label="Weekly updated PICC snapshot",
+                authority_level="authoritative",
+                catalog_url=(
+                    "https://geoportail.wallonie.be/catalogue/"
+                    "b795de68-726c-4bdf-a62a-a42686aa5b6f.html"
+                ),
+                attribution="Service public de Wallonie (SPW) - PICC",
+                license_note="CC BY 4.0; cite SPW PICC and identify modifications.",
+                limitation_message=(
+                    "Hydrographic axes describe mapped centre lines. They do not provide depth, "
+                    "discharge or water volume."
+                ),
+                source="SPW PICC ArcGIS REST",
+                observed_at=None,
+                valid_from=None,
+                valid_to=None,
+                primary_metric={
+                    "metric_key": "waterway_length",
+                    "method": "intersection_length",
+                    "label": "Waterlooplengte",
+                    "unit": "km",
+                    "geometry_dimension": 1,
+                    "is_estimate": False,
+                },
+                selection_metrics=(
+                    {
+                        "metric_key": "waterway_segment_count",
+                        "method": "feature_count",
+                        "label": "Waterloopsegmenten",
+                        "unit": "objecten",
+                        "geometry_dimension": 1,
+                    },
+                ),
+                geometry_types=("LineString", "MultiLineString"),
+                coverage_zones=("wallonia",),
+                endpoint_kind="spw_arcgis",
+                identity_field="GEOREF_ID",
+                requires_coverage_area=True,
+            ),
+            OfficialVectorProduct(
+                key="spw_picc_water_surfaces",
+                display_name="PICC hydrographic surfaces",
+                theme="water",
+                provider="Service public de Wallonie",
+                source_name="spw_picc",
+                reference_layer_name="water",
+                service_type="ArcGIS REST",
+                collection="30",
+                source_crs="EPSG:3812",
+                source_version="2026-07-11",
+                observation_label="Weekly updated PICC snapshot",
+                authority_level="authoritative",
+                catalog_url=(
+                    "https://geoportail.wallonie.be/catalogue/"
+                    "b795de68-726c-4bdf-a62a-a42686aa5b6f.html"
+                ),
+                attribution="Service public de Wallonie (SPW) - PICC",
+                license_note="CC BY 4.0; cite SPW PICC and identify modifications.",
+                limitation_message=(
+                    "Mapped hydrographic surface area is not water volume and does not imply "
+                    "a measured water level."
+                ),
+                source="SPW PICC ArcGIS REST",
+                observed_at=None,
+                valid_from=None,
+                valid_to=None,
+                primary_metric={
+                    "metric_key": "water_surface_area",
+                    "method": "intersection_area",
+                    "label": "Wateroppervlakte",
+                    "unit": "ha",
+                    "geometry_dimension": 2,
+                    "is_estimate": False,
+                },
+                selection_metrics=(
+                    {
+                        "metric_key": "water_surface_count",
+                        "method": "feature_count",
+                        "label": "Wateroppervlakken",
+                        "unit": "objecten",
+                        "geometry_dimension": 2,
+                    },
+                ),
+                coverage_zones=("wallonia",),
+                endpoint_kind="spw_arcgis",
+                identity_field="GEOREF_ID",
+                requires_coverage_area=True,
+            ),
+            OfficialVectorProduct(
+                key="urbis_buildings",
+                display_name="UrbIS buildings",
+                theme="buildings",
+                provider="Paradigm Brussels",
+                source_name="urbis",
+                reference_layer_name="buildings",
+                service_type="WFS 2.0",
+                collection="urbisvector:Buildings",
+                source_crs="EPSG:31370",
+                source_version="2026-06-06",
+                observation_label="UrbIS revision 6 June 2026",
+                authority_level="authoritative",
+                catalog_url=(
+                    "https://datastore.brussels/web/data/dataset/"
+                    "2cf42541-1813-11ef-8a81-00090ffe0001"
+                ),
+                attribution="Paradigm Brussels - UrbIS",
+                license_note="Buildings are published under CC0.",
+                limitation_message=(
+                    "UrbIS building geometry is a regional topographic reference and is not "
+                    "a legal cadastral registration."
+                ),
+                source="UrbIS WFS",
+                observed_at=datetime(2026, 6, 6, tzinfo=UTC),
+                valid_from=None,
+                valid_to=None,
+                primary_metric={
+                    "metric_key": "building_footprint_area",
+                    "method": "intersection_area",
+                    "label": "Bebouwde voetafdruk",
+                    "unit": "ha",
+                    "geometry_dimension": 2,
+                    "is_estimate": False,
+                },
+                selection_metrics=(
+                    {
+                        "metric_key": "building_count",
+                        "method": "feature_count",
+                        "label": "Gebouwen",
+                        "unit": "objecten",
+                        "geometry_dimension": 2,
+                    },
+                ),
+                coverage_zones=("brussels",),
+                endpoint_kind="urbis_wfs",
+                response_crs="EPSG:31370",
+                identity_field="INSPIRE_ID",
+                requires_coverage_area=True,
+            ),
+            OfficialVectorProduct(
+                key="urbis_cadastral_parcels",
+                display_name="UrbIS cadastral parcels",
+                theme="parcels",
+                provider="Paradigm Brussels / FPS Finance",
+                source_name="urbis",
+                reference_layer_name="parcels",
+                service_type="WFS 2.0",
+                collection="urbisvector:CadastralParcels",
+                source_crs="EPSG:31370",
+                source_version="2026-06-06",
+                observation_label="UrbIS revision 6 June 2026",
+                authority_level="authoritative",
+                catalog_url=(
+                    "https://datastore.brussels/web/data/dataset/"
+                    "2cf42541-1813-11ef-8a81-00090ffe0001"
+                ),
+                attribution="Paradigm Brussels and FPS Finance - cadastral parcel plan",
+                license_note=(
+                    "The FPS Finance open-data cadastral plan licence applies to cadastral parcels."
+                ),
+                limitation_message=(
+                    "Cadastral parcel geometry is reference data. GeoIntel does not infer "
+                    "ownership, rights or legal boundaries beyond the published source."
+                ),
+                source="UrbIS WFS",
+                observed_at=datetime(2026, 1, 1, tzinfo=UTC),
+                valid_from=None,
+                valid_to=None,
+                primary_metric={
+                    "metric_key": "parcel_area",
+                    "method": "intersection_area",
+                    "label": "Perceeloppervlakte",
+                    "unit": "ha",
+                    "geometry_dimension": 2,
+                    "is_estimate": False,
+                },
+                selection_metrics=(
+                    {
+                        "metric_key": "parcel_count",
+                        "method": "feature_count",
+                        "label": "Percelen",
+                        "unit": "objecten",
+                        "geometry_dimension": 2,
+                    },
+                ),
+                coverage_zones=("brussels",),
+                endpoint_kind="urbis_wfs",
+                response_crs="EPSG:31370",
+                identity_field="INSPIRE_ID",
+                requires_coverage_area=True,
             ),
         )
         return {product.key: product for product in products}
@@ -268,7 +576,7 @@ class OfficialVectorAcquisitionService:
                 reference_layer_name=product.reference_layer_name,
                 service_type=product.service_type,
                 collection=product.collection,
-                geometry_types=["Polygon", "MultiPolygon"],
+                geometry_types=list(product.geometry_types),
                 source_crs=product.source_crs,
                 source_version=product.source_version,
                 observation_label=product.observation_label,
@@ -277,6 +585,7 @@ class OfficialVectorAcquisitionService:
                 attribution=product.attribution,
                 license_note=product.license_note,
                 limitation_message=product.limitation_message,
+                coverage_zones=list(product.coverage_zones),
             ).model_dump()
             for product in OfficialVectorAcquisitionService._products().values()
         ]
@@ -320,12 +629,44 @@ class OfficialVectorAcquisitionService:
             result = make_valid(result)
         return result if not result.is_empty and result.is_valid else None
 
+    @staticmethod
+    def _dimensional(geometry: Any, dimension: int) -> Any | None:
+        if geometry is None or geometry.is_empty:
+            return None
+        if not geometry.is_valid:
+            geometry = make_valid(geometry)
+        parts: list[Any] = []
+
+        def collect(item: Any) -> None:
+            if item is None or item.is_empty:
+                return
+            if dimension == 2 and isinstance(item, Polygon):
+                parts.append(item)
+            elif dimension == 2 and isinstance(item, MultiPolygon):
+                parts.extend(part for part in item.geoms if not part.is_empty)
+            elif dimension == 1 and isinstance(item, LineString):
+                parts.append(item)
+            elif dimension == 1 and isinstance(item, MultiLineString):
+                parts.extend(part for part in item.geoms if not part.is_empty)
+            elif hasattr(item, "geoms"):
+                for part in item.geoms:
+                    collect(part)
+
+        collect(geometry)
+        if not parts:
+            return None
+        result = unary_union(parts)
+        if not result.is_valid:
+            result = make_valid(result)
+        return result if not result.is_empty and result.is_valid else None
+
     @staticmethod
     def _validate_scope(
         db,
         project_id: UUID,
         payload: OfficialVectorAcquireRequest,
         settings: Settings,
+        product: OfficialVectorProduct,
     ) -> tuple[Any, Any, list[float], list[float]]:
         if not settings.official_vector_enabled:
             raise AppError(
@@ -333,6 +674,18 @@ class OfficialVectorAcquisitionService:
                 message="Bounded official vector acquisition is disabled",
                 status_code=503,
             )
+        if product.endpoint_kind == "spw_arcgis" and not settings.spw_picc_enabled:
+            raise AppError(
+                code="SPW_PICC_NOT_CONFIGURED",
+                message="Bounded SPW PICC acquisition is disabled",
+                status_code=503,
+            )
+        if product.endpoint_kind == "urbis_wfs" and not settings.urbis_enabled:
+            raise AppError(
+                code="URBIS_NOT_CONFIGURED",
+                message="Bounded UrbIS acquisition is disabled",
+                status_code=503,
+            )
         if not db.get(Project, project_id):
             raise AppError(code="PROJECT_NOT_FOUND", message="Project not found", status_code=404)
         if payload.bbox.crs.upper() != "EPSG:4326":
@@ -375,6 +728,7 @@ class OfficialVectorAcquisitionService:
                 status_code=422,
             )
         scope_wgs84 = box(*values)
+        area = None
         if payload.area_id:
             area = db.get(Area, payload.area_id)
             if area is None:
@@ -394,6 +748,53 @@ class OfficialVectorAcquisitionService:
                     message="The selection does not intersect the selected area",
                     status_code=400,
                 )
+        if product.requires_coverage_area:
+            coverage_area_names = {
+                "wallonia": "Wallonia",
+                "brussels": "Brussels-Capital Region",
+            }
+            required_names = [
+                coverage_area_names[zone]
+                for zone in product.coverage_zones
+                if zone in coverage_area_names
+            ]
+            coverage_rows = (
+                [area]
+                if area is not None and area.name in required_names
+                else db.query(Area)
+                .filter(
+                    Area.project_id == project_id,
+                    Area.name.in_(required_names),
+                )
+                .all()
+            )
+            coverage_geometries = [
+                to_shape(item.geometry)
+                for item in coverage_rows
+                if item is not None and item.geometry is not None
+            ]
+            coverage_geometry = (
+                OfficialVectorAcquisitionService._polygonal(unary_union(coverage_geometries))
+                if coverage_geometries
+                else None
+            )
+            if coverage_geometry is None:
+                raise AppError(
+                    code="OFFICIAL_VECTOR_COVERAGE_NOT_READY",
+                    message="The official regional coverage boundary is not persisted in this project",
+                    details={"required_areas": required_names},
+                    status_code=409,
+                )
+            scope_wgs84 = OfficialVectorAcquisitionService._polygonal(
+                scope_wgs84.intersection(coverage_geometry)
+            )
+            if scope_wgs84 is None:
+                raise AppError(
+                    code="OFFICIAL_VECTOR_OUTSIDE_COVERAGE",
+                    message="The selection does not intersect the official product coverage",
+                    details={"coverage_zones": list(product.coverage_zones)},
+                    status_code=422,
+                )
         scope_metric = OfficialVectorAcquisitionService._polygonal(
             transform(_TO_LAMBERT72.transform, scope_wgs84)
         )
@@ -425,6 +826,21 @@ class OfficialVectorAcquisitionService:
                 request,
                 timeout=settings.official_vector_timeout_seconds,
             ) as response:
+                content_type = ""
+                if hasattr(response, "getheader"):
+                    content_type = str(response.getheader("Content-Type") or "")
+                elif hasattr(response, "headers"):
+                    content_type = str(response.headers.get("Content-Type") or "")
+                if content_type and not any(
+                    allowed in content_type.lower()
+                    for allowed in ("application/json", "application/geo+json")
+                ):
+                    raise AppError(
+                        code="OFFICIAL_VECTOR_PROVIDER_INVALID_CONTENT_TYPE",
+                        message="The official vector provider returned an unsupported content type",
+                        details={"content_type": content_type},
+                        status_code=502,
+                    )
                 limit = settings.official_vector_max_response_mb * 1024 * 1024
                 content = response.read(limit + 1)
         except HTTPError as exc:
@@ -502,6 +918,137 @@ class OfficialVectorAcquisitionService:
         )
         return f"{settings.dov_soil_wfs_url.rstrip('?')}?{query}"
 
+    @staticmethod
+    def _spw_url(
+        settings: Settings,
+        product: OfficialVectorProduct,
+        bbox_values: tuple[float, ...],
+        start_index: int,
+    ) -> str:
+        query = urlencode(
+            {
+                "where": "1=1",
+                "geometry": ",".join(f"{value:.8f}" for value in bbox_values),
+                "geometryType": "esriGeometryEnvelope",
+                "inSR": "4326",
+                "outSR": "4326",
+                "spatialRel": "esriSpatialRelIntersects",
+                "outFields": "*",
+                "returnGeometry": "true",
+                "returnZ": "false",
+                "returnM": "false",
+                "resultOffset": start_index,
+                "resultRecordCount": min(settings.official_vector_page_size, 2000),
+                "orderByFields": "OBJECTID",
+                "f": "geojson",
+            }
+        )
+        base = settings.spw_picc_mapserver_url.rstrip("/")
+        return f"{base}/{product.collection}/query?{query}"
+
+    @staticmethod
+    def _urbis_url(
+        settings: Settings,
+        product: OfficialVectorProduct,
+        metric_bbox: tuple[float, ...],
+        start_index: int,
+    ) -> str:
+        query = urlencode(
+            {
+                "service": "WFS",
+                "version": "2.0.0",
+                "request": "GetFeature",
+                "typeNames": product.collection,
+                "srsName": "EPSG:31370",
+                "bbox": ",".join(f"{value:.3f}" for value in metric_bbox) + ",EPSG:31370",
+                "count": settings.official_vector_page_size,
+                "startIndex": start_index,
+                "sortBy": product.identity_field or "INSPIRE_ID",
+                "outputFormat": "application/json",
+            }
+        )
+        return f"{settings.urbis_wfs_url.rstrip('?')}?{query}"
+
+    @staticmethod
+    def _page_url(
+        product: OfficialVectorProduct,
+        settings: Settings,
+        scope_wgs84: Any,
+        scope_metric: Any,
+        start_index: int,
+    ) -> str:
+        if product.endpoint_kind == "bwk_wfs":
+            return OfficialVectorAcquisitionService._nature_url(
+                settings,
+                tuple(scope_wgs84.bounds),
+                start_index,
+            )
+        if product.endpoint_kind == "dov_wfs":
+            return OfficialVectorAcquisitionService._soil_url(
+                settings,
+                tuple(scope_metric.bounds),
+                start_index,
+            )
+        if product.endpoint_kind == "spw_arcgis":
+            return OfficialVectorAcquisitionService._spw_url(
+                settings,
+                product,
+                tuple(scope_wgs84.bounds),
+                start_index,
+            )
+        if product.endpoint_kind == "urbis_wfs":
+            return OfficialVectorAcquisitionService._urbis_url(
+                settings,
+                product,
+                tuple(scope_metric.bounds),
+                start_index,
+            )
+        raise AppError(
+            code="OFFICIAL_VECTOR_PRODUCT_NOT_SUPPORTED",
+            message="The official vector product has no governed acquisition adapter",
+            status_code=422,
+        )
+
+    @staticmethod
+    def _validate_page_url(
+        url: str,
+        product: OfficialVectorProduct,
+        settings: Settings,
+    ) -> None:
+        parsed = urlparse(url)
+        configured_url = {
+            "bwk_wfs": settings.bwk_wfs_url,
+            "dov_wfs": settings.dov_soil_wfs_url,
+            "spw_arcgis": settings.spw_picc_mapserver_url,
+            "urbis_wfs": settings.urbis_wfs_url,
+        }.get(product.endpoint_kind)
+        if configured_url is None:
+            raise AppError(
+                code="OFFICIAL_VECTOR_PRODUCT_NOT_SUPPORTED",
+                message="The official vector product has no configured endpoint",
+                status_code=422,
+            )
+        base = urlparse(configured_url)
+        expected_path = (
+            f"{base.path.rstrip('/')}/{product.collection}/query"
+            if product.endpoint_kind == "spw_arcgis"
+            else base.path
+        )
+        if (
+            parsed.scheme != "https"
+            or base.scheme != "https"
+            or parsed.netloc.casefold() != base.netloc.casefold()
+            or parsed.path != expected_path
+            or parsed.username
+            or parsed.password
+            or parsed.fragment
+        ):
+            raise AppError(
+                code="OFFICIAL_VECTOR_PROVIDER_INVALID_PAGINATION",
+                message="The official vector request escaped the governed HTTPS endpoint",
+                status_code=502,
+            )
+
     @staticmethod
     def _habitat_breakdown(properties: dict[str, Any]) -> tuple[list[dict[str, Any]], float, float, float]:
         entries: list[dict[str, Any]] = []
@@ -527,6 +1074,92 @@ class OfficialVectorAcquisitionService:
             uncertain_share = 100.0
         return entries, min(100.0, natura_share), min(100.0, regional_share), min(100.0, uncertain_share)
 
+    @staticmethod
+    def _normalize_regional_feature(
+        product: OfficialVectorProduct,
+        feature: dict[str, Any],
+        scope_metric: Any,
+        coverage_scope: str,
+    ) -> dict[str, Any] | None:
+        dimension = 2 if any("Polygon" in item for item in product.geometry_types) else 1
+        try:
+            source_geometry = shape(feature.get("geometry"))
+        except Exception as exc:
+            raise AppError(
+                code="OFFICIAL_VECTOR_PROVIDER_INVALID_GEOMETRY",
+                message=f"{product.display_name} returned invalid geometry",
+                status_code=502,
+            ) from exc
+        if product.response_crs == "EPSG:31370":
+            source_metric = OfficialVectorAcquisitionService._dimensional(
+                source_geometry,
+                dimension,
+            )
+        else:
+            source_wgs84 = OfficialVectorAcquisitionService._dimensional(
+                source_geometry,
+                dimension,
+            )
+            source_metric = (
+                OfficialVectorAcquisitionService._dimensional(
+                    transform(_TO_LAMBERT72.transform, source_wgs84),
+                    dimension,
+                )
+                if source_wgs84 is not None
+                else None
+            )
+        if source_metric is None or not source_metric.intersects(scope_metric):
+            return None
+        clipped_metric = OfficialVectorAcquisitionService._dimensional(
+            source_metric.intersection(scope_metric),
+            dimension,
+        )
+        if clipped_metric is None:
+            return None
+        clipped_wgs84 = OfficialVectorAcquisitionService._dimensional(
+            transform(_TO_WGS84.transform, clipped_metric),
+            dimension,
+        )
+        if clipped_wgs84 is None:
+            return None
+        raw = dict(feature.get("properties") or {})
+        identity = (
+            raw.get(product.identity_field or "")
+            or feature.get("id")
+            or raw.get("OBJECTID")
+        )
+        if identity in (None, ""):
+            raise AppError(
+                code="OFFICIAL_VECTOR_PROVIDER_INVALID_RESPONSE",
+                message=f"{product.display_name} returned a feature without an official identity",
+                status_code=502,
+            )
+        feature_id = f"{product.collection}:{identity}"
+        properties = {
+            **raw,
+            "source_name": product.source_name,
+            "source_collection": product.collection,
+            "source_feature_id": feature_id,
+            "reference_layer_name": product.reference_layer_name,
+            "theme": product.theme,
+            "authority_level": product.authority_level,
+            "coverage_scope": coverage_scope,
+            "coverage_zones": list(product.coverage_zones),
+            "source_version": product.source_version,
+            "attribution": product.attribution,
+            "geometry_clipped_to_selection": not scope_metric.covers(source_metric),
+        }
+        if dimension == 2:
+            properties["clipped_area_ha"] = round(float(clipped_metric.area) / 10_000.0, 8)
+        else:
+            properties["clipped_length_km"] = round(float(clipped_metric.length) / 1_000.0, 8)
+        return {
+            "type": "Feature",
+            "id": feature_id,
+            "geometry": mapping(clipped_wgs84),
+            "properties": properties,
+        }
+
     @staticmethod
     def _normalize_feature(
         product: OfficialVectorProduct,
@@ -534,6 +1167,13 @@ class OfficialVectorAcquisitionService:
         scope_metric: Any,
         coverage_scope: str,
     ) -> dict[str, Any] | None:
+        if product.endpoint_kind in {"spw_arcgis", "urbis_wfs"}:
+            return OfficialVectorAcquisitionService._normalize_regional_feature(
+                product,
+                feature,
+                scope_metric,
+                coverage_scope,
+            )
         try:
             source_wgs84 = OfficialVectorAcquisitionService._polygonal(shape(feature.get("geometry")))
         except Exception as exc:
@@ -667,32 +1307,21 @@ class OfficialVectorAcquisitionService:
         response_hashes: list[str] = []
         total_bytes = candidate_count = 0
         expected_total: int | None = None
-        next_url = (
-            OfficialVectorAcquisitionService._nature_url(settings, tuple(scope_wgs84.bounds), 0)
-            if product.theme == "nature_value"
-            else OfficialVectorAcquisitionService._soil_url(settings, tuple(scope_metric.bounds), 0)
+        next_url = OfficialVectorAcquisitionService._page_url(
+            product,
+            settings,
+            scope_wgs84,
+            scope_metric,
+            0,
         )
         start_index = 0
         seen_pages: set[str] = set()
         while next_url:
-            parsed = urlparse(next_url)
-            configured_url = (
-                settings.bwk_wfs_url
-                if product.theme == "nature_value"
-                else settings.dov_soil_wfs_url
+            OfficialVectorAcquisitionService._validate_page_url(
+                next_url,
+                product,
+                settings,
             )
-            base = urlparse(configured_url)
-            if (
-                parsed.scheme != "https"
-                or base.scheme != "https"
-                or parsed.netloc.casefold() != base.netloc.casefold()
-                or parsed.path != base.path
-            ):
-                raise AppError(
-                    code="OFFICIAL_VECTOR_PROVIDER_INVALID_PAGINATION",
-                    message="The official WFS request escaped the governed endpoint",
-                    status_code=502,
-                )
             if next_url in seen_pages:
                 raise AppError(
                     code="OFFICIAL_VECTOR_PROVIDER_PAGINATION_LOOP",
@@ -777,7 +1406,26 @@ class OfficialVectorAcquisitionService:
                     status_code=502,
                 )
             start_index += returned_count
-            if returned_count == 0 or (
+            arcgis_has_more = payload.get("exceededTransferLimit") is True
+            if product.endpoint_kind == "spw_arcgis":
+                if arcgis_has_more and returned_count == 0:
+                    raise AppError(
+                        code="OFFICIAL_VECTOR_PROVIDER_INCOMPLETE_RESPONSE",
+                        message="The SPW provider reported more records but returned an empty page",
+                        status_code=502,
+                    )
+                next_url = (
+                    OfficialVectorAcquisitionService._page_url(
+                        product,
+                        settings,
+                        scope_wgs84,
+                        scope_metric,
+                        start_index,
+                    )
+                    if arcgis_has_more
+                    else None
+                )
+            elif returned_count == 0 or (
                 expected_total is not None and start_index >= expected_total
             ) or (expected_total is None and returned_count < settings.official_vector_page_size):
                 if expected_total is not None and start_index != expected_total:
@@ -788,13 +1436,13 @@ class OfficialVectorAcquisitionService:
                         status_code=502,
                     )
                 next_url = None
-            elif product.theme == "nature_value":
-                next_url = OfficialVectorAcquisitionService._nature_url(
-                    settings, tuple(scope_wgs84.bounds), start_index
-                )
             else:
-                next_url = OfficialVectorAcquisitionService._soil_url(
-                    settings, tuple(scope_metric.bounds), start_index
+                next_url = OfficialVectorAcquisitionService._page_url(
+                    product,
+                    settings,
+                    scope_wgs84,
+                    scope_metric,
+                    start_index,
                 )
         return retained, {
             "candidate_feature_count": candidate_count,
@@ -884,7 +1532,7 @@ class OfficialVectorAcquisitionService:
         product = OfficialVectorAcquisitionService._product(payload.product_key)
         scope_wgs84, scope_metric, bbox_values, metric_bounds = (
             OfficialVectorAcquisitionService._validate_scope(
-                db, project_id, payload, resolved_settings
+                db, project_id, payload, resolved_settings, product
             )
         )
         request_identity = {
@@ -906,9 +1554,13 @@ class OfficialVectorAcquisitionService:
                 )
         area = db.get(Area, payload.area_id) if payload.area_id else None
         coverage_scope = (
-            "municipality"
-            if area is not None and area.name.strip().lower().startswith("gemeente ")
-            else "bounded_selection"
+            product.coverage_zones[0]
+            if product.requires_coverage_area
+            else (
+                "municipality"
+                if area is not None and area.name.strip().lower().startswith("gemeente ")
+                else "bounded_selection"
+            )
         )
         features, transfer = OfficialVectorAcquisitionService._fetch_features(
             product,
@@ -942,6 +1594,7 @@ class OfficialVectorAcquisitionService:
             "theme": product.theme,
             "layer_type": product.reference_layer_name,
             "coverage_scope": coverage_scope,
+            "coverage_zones": list(product.coverage_zones),
             "geometry_clipped_to_area": payload.area_id is not None,
             "geometry_clipped_to_selection": True,
             "bbox_epsg4326": bbox_values,
@@ -994,7 +1647,7 @@ class OfficialVectorAcquisitionService:
                 dataset_role="reference",
                 reference_layer_name=product.reference_layer_name,
                 temporal_series_key=f"{product.source_name}:{product.key}:{request_hash[:24]}",
-                observed_at=product.observed_at,
+                observed_at=product.observed_at or acquired_at,
                 valid_from=product.valid_from,
                 valid_to=product.valid_to,
                 temporal_granularity="period" if product.valid_from else "snapshot",

backend/app/services/vector_feature_service.py

@@ -45,6 +45,19 @@ PRECLIPPED_MUNICIPALITY_PARTITION_OPERATOR_TOOLS = {
 
 
 SEMANTIC_SELECTION_METRICS: dict[str, tuple[dict[str, Any], ...]] = {
+    "administrative": (
+        {
+            "metric_key": "covered_area",
+            "method": "intersection_area",
+            "label": "Bestuurlijk ingedeelde oppervlakte",
+            "unit": "ha",
+            "geometry_dimension": 2,
+            "warning": (
+                "Dit is de doorsnede met één bestuurlijk schaalniveau uit de gekozen NGI-laag; "
+                "het is geen kadastrale of juridische grensopmeting."
+            ),
+        },
+    ),
     "buildings": (
         {
             "metric_key": "footprint_area",
@@ -113,9 +126,14 @@ SEMANTIC_SELECTION_METRICS: dict[str, tuple[dict[str, Any], ...]] = {
             "warning": "Historische bodemkartering op schaal 1:20.000; actuele lokale bodem- en drainagetoestand kan afwijken.",
         },
     ),
+    # Maritieme plan- en rapportagezones kunnen elkaar overlappen. Een
+    # opgetelde oppervlakte zou daarom geen unieke zeeoppervlakte voorstellen.
+    "maritime_planning": (),
+    "marine_environment": (),
 }
 
 SEMANTIC_COUNT_LABELS = {
+    "administrative": "Bestuursgebieden",
     "buildings": "Gebouwen",
     "population": "Statistische sectoren",
     "forest": "Bosvlakken",
@@ -125,6 +143,8 @@ SEMANTIC_COUNT_LABELS = {
     "nature_value": "BWK-kaartvlakken",
     "agriculture": "Landbouwgebruikspercelen",
     "soil": "Bodemkaartvlakken",
+    "maritime_planning": "Maritieme planobjecten",
+    "marine_environment": "Mariene rapportagezones",
 }
 
 # Sprint 205 initially normalized two official comma-separated ALZ group labels
@@ -157,6 +177,12 @@ class VectorFeatureService:
             source_metadata.get("layer_type"),
         )
         aliases = {
+            "belgium_land_boundary": "administrative",
+            "belgium_regions": "administrative",
+            "belgium_provinces": "administrative",
+            "belgium_municipalities": "administrative",
+            "marine_spatial_plan_2026": "maritime_planning",
+            "marine_legal_scopes": "marine_environment",
             "building": "buildings",
             "bebouwing": "buildings",
             "population": "population",

backend/tests/test_docker_runtime_config.py

@@ -250,6 +250,33 @@ def test_runtime_sets_writable_ultralytics_config_directory() -> None:
     assert "YOLO_CONFIG_DIR=/app/storage/ultralytics" in unraid_env
 
 
+def test_regional_official_vector_sources_are_configurable_in_every_runtime() -> None:
+    compose = (ROOT / "docker-compose.yml").read_text(encoding="utf-8")
+    unraid_compose = (ROOT / "docker-compose.unraid.yml").read_text(encoding="utf-8")
+    run_script = (ROOT / "deploy" / "unraid" / "run-dockerman-container.sh").read_text(
+        encoding="utf-8"
+    )
+    env_example = (ROOT / "deploy" / "unraid" / "geointel.env.example").read_text(
+        encoding="utf-8"
+    )
+    template = (ROOT / "deploy" / "unraid" / "geointel-unraid-template.xml").read_text(
+        encoding="utf-8"
+    )
+
+    for key in (
+        "SPW_PICC_ENABLED",
+        "SPW_PICC_MAPSERVER_URL",
+        "URBIS_ENABLED",
+        "URBIS_WFS_URL",
+    ):
+        assert key in compose
+        assert key in unraid_compose
+        assert f'{key}="${{{key}:-' in run_script
+        assert f'-e {key}="${key}"' in run_script
+        assert f"{key}=" in env_example
+        assert f'Target="{key}"' in template
+
+
 def test_docker_build_contexts_exclude_vendor_build_and_cache_outputs() -> None:
     required_patterns = {
         "node_modules",

backend/tests/test_post_rc_regional_official_vector.py

@@ -0,0 +1,308 @@
+from __future__ import annotations
+
+import json
+from types import SimpleNamespace
+from urllib.parse import parse_qs, urlparse
+from uuid import uuid4
+
+import pytest
+from geoalchemy2.shape import from_shape
+from pyproj import Transformer
+from shapely.geometry import MultiPolygon, Polygon
+
+from app.core.config import Settings
+from app.core.errors import AppError
+from app.models import Area, Dataset, Project
+from app.schemas.official_vector import OfficialVectorAcquireRequest
+from app.services.dataset_service import DatasetService
+from app.services.official_vector_acquisition_service import (
+    OfficialVectorAcquisitionService,
+    _TO_LAMBERT72,
+)
+
+
+class FakeQuery:
+    def __init__(self, result=None):
+        self.result = result
+
+    def filter(self, *_args):
+        return self
+
+    def order_by(self, *_args):
+        return self
+
+    def all(self):
+        return self.result if isinstance(self.result, list) else []
+
+
+class FakeSession:
+    def __init__(self, rows=None, query_result=None):
+        self.rows = rows or {}
+        self.query_result = query_result
+
+    def get(self, model, row_id):
+        return self.rows.get((model, row_id))
+
+    def query(self, _model):
+        return FakeQuery(self.query_result)
+
+
+class JsonResponse:
+    def __init__(self, payload, content_type="application/geo+json"):
+        self.content = json.dumps(payload).encode("utf-8")
+        self.content_type = content_type
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, *_args):
+        return False
+
+    def read(self, size=-1):
+        return self.content if size < 0 else self.content[:size]
+
+    def getheader(self, name):
+        return self.content_type if name.lower() == "content-type" else None
+
+
+def request(product_key: str, bbox: tuple[float, float, float, float], area_id=None):
+    return OfficialVectorAcquireRequest(
+        bbox={
+            "min_x": bbox[0],
+            "min_y": bbox[1],
+            "max_x": bbox[2],
+            "max_y": bbox[3],
+            "crs": "EPSG:4326",
+        },
+        area_id=area_id,
+        product_key=product_key,
+        force_refresh=True,
+    )
+
+
+def area(project_id, name: str, bounds: tuple[float, float, float, float]):
+    min_x, min_y, max_x, max_y = bounds
+    geometry = MultiPolygon(
+        [
+            Polygon(
+                [
+                    (min_x, min_y),
+                    (max_x, min_y),
+                    (max_x, max_y),
+                    (min_x, max_y),
+                    (min_x, min_y),
+                ]
+            )
+        ]
+    )
+    return Area(
+        id=uuid4(),
+        project_id=project_id,
+        name=name,
+        geometry=from_shape(geometry, srid=4326),
+    )
+
+
+def test_regional_product_registry_is_explicit_and_source_specific() -> None:
+    products = {
+        item["key"]: item
+        for item in OfficialVectorAcquisitionService.list_products()
+    }
+
+    assert products["spw_picc_buildings"]["coverage_zones"] == ["wallonia"]
+    assert products["spw_picc_roads"]["geometry_types"] == [
+        "LineString",
+        "MultiLineString",
+    ]
+    assert products["spw_picc_waterways"]["collection"] == "28"
+    assert products["spw_picc_water_surfaces"]["collection"] == "30"
+    assert products["urbis_buildings"]["coverage_zones"] == ["brussels"]
+    assert products["urbis_buildings"]["license_note"] == "Buildings are published under CC0."
+    assert "FPS Finance" in products["urbis_cadastral_parcels"]["license_note"]
+
+
+def test_spw_arcgis_paging_is_bounded_stable_and_clipped() -> None:
+    product = OfficialVectorAcquisitionService._product("spw_picc_buildings")
+    scope = Polygon(
+        [(4.55, 50.58), (4.56, 50.58), (4.56, 50.59), (4.55, 50.59), (4.55, 50.58)]
+    )
+    scope_metric = Polygon(
+        [
+            _TO_LAMBERT72.transform(x, y)
+            for x, y in scope.exterior.coords
+        ]
+    )
+    offsets = []
+
+    def feature(object_id: int, min_x: float):
+        return {
+            "type": "Feature",
+            "id": object_id,
+            "geometry": {
+                "type": "Polygon",
+                "coordinates": [[
+                    [min_x, 50.581],
+                    [min_x + 0.002, 50.581],
+                    [min_x + 0.002, 50.583],
+                    [min_x, 50.583],
+                    [min_x, 50.581],
+                ]],
+            },
+            "properties": {"OBJECTID": object_id, "GEOREF_ID": f"wallonia-{object_id}"},
+        }
+
+    def opener(raw_request, timeout):
+        assert timeout == 180
+        query = parse_qs(urlparse(raw_request.full_url).query)
+        assert query["orderByFields"] == ["OBJECTID"]
+        assert query["f"] == ["geojson"]
+        offset = int(query["resultOffset"][0])
+        offsets.append(offset)
+        return JsonResponse(
+            {
+                "type": "FeatureCollection",
+                "features": [feature(offset + 1, 4.551 + offset * 0.0001)],
+                "exceededTransferLimit": offset == 0,
+            }
+        )
+
+    features, transfer = OfficialVectorAcquisitionService._fetch_features(
+        product,
+        scope,
+        scope_metric,
+        "wallonia",
+        Settings(_env_file=None, OFFICIAL_VECTOR_PAGE_SIZE=1),
+        opener,
+    )
+
+    assert offsets == [0, 1]
+    assert transfer["page_count"] == 2
+    assert transfer["reference_truncated"] is False
+    assert {item["properties"]["source_feature_id"] for item in features} == {
+        "11:wallonia-1",
+        "11:wallonia-2",
+    }
+    assert all(item["properties"]["coverage_scope"] == "wallonia" for item in features)
+    assert all(item["properties"]["clipped_area_ha"] > 0 for item in features)
+
+
+def test_regional_products_require_the_persisted_authoritative_coverage_area() -> None:
+    project_id = uuid4()
+    db = FakeSession({(Project, project_id): Project(id=project_id, name="Belgium")})
+
+    with pytest.raises(AppError) as exc_info:
+        OfficialVectorAcquisitionService.acquire(
+            db,
+            project_id,
+            request("spw_picc_buildings", (4.55, 50.58, 4.56, 50.59)),
+            settings=Settings(_env_file=None),
+        )
+
+    assert exc_info.value.code == "OFFICIAL_VECTOR_COVERAGE_NOT_READY"
+
+
+def test_urbis_wfs_transforms_lambert72_and_persists_through_dataset_service(
+    monkeypatch,
+) -> None:
+    project_id, dataset_id = uuid4(), uuid4()
+    brussels = area(project_id, "Brussels-Capital Region", (4.25, 50.75, 4.5, 50.95))
+    db = FakeSession(
+        {
+            (Project, project_id): Project(id=project_id, name="Belgium"),
+            (Area, brussels.id): brussels,
+        },
+        query_result=[brussels],
+    )
+    to_lambert = Transformer.from_crs("EPSG:4326", "EPSG:31370", always_xy=True)
+    min_x, min_y = to_lambert.transform(4.35, 50.84)
+    max_x, max_y = to_lambert.transform(4.351, 50.841)
+    captured = {}
+
+    def opener(raw_request, timeout):
+        assert timeout == 180
+        query = parse_qs(urlparse(raw_request.full_url).query)
+        assert query["typeNames"] == ["urbisvector:Buildings"]
+        assert query["srsName"] == ["EPSG:31370"]
+        assert query["sortBy"] == ["INSPIRE_ID"]
+        return JsonResponse(
+            {
+                "type": "FeatureCollection",
+                "numberMatched": 1,
+                "numberReturned": 1,
+                "features": [
+                    {
+                        "type": "Feature",
+                        "id": "Buildings.1",
+                        "geometry": {
+                            "type": "MultiPolygon",
+                            "coordinates": [[[
+                                [min_x, min_y],
+                                [max_x, min_y],
+                                [max_x, max_y],
+                                [min_x, max_y],
+                                [min_x, min_y],
+                            ]]],
+                        },
+                        "properties": {
+                            "INSPIRE_ID": "https://databrussels.be/id/building/1",
+                            "AREA": 75,
+                        },
+                    }
+                ],
+            },
+            "application/json",
+        )
+
+    def persist(_db, **kwargs):
+        captured.update(kwargs)
+        dataset = Dataset(
+            id=dataset_id,
+            project_id=project_id,
+            area_id=brussels.id,
+            name=kwargs["filename"],
+            dataset_type="vector",
+            source=kwargs["source"],
+            dataset_role=kwargs["dataset_role"],
+            source_name=kwargs["source_name"],
+            reference_layer_name=kwargs["reference_layer_name"],
+            temporal_series_key=kwargs["temporal_series_key"],
+            observed_at=kwargs["observed_at"],
+            source_version=kwargs["source_version"],
+            source_metadata=kwargs["source_metadata"],
+            provenance_metadata=kwargs["provenance_metadata"],
+            metadata_json={"feature_count": 1},
+            status="ready",
+        )
+        db.rows[(Dataset, dataset_id)] = dataset
+        return SimpleNamespace(id=dataset_id)
+
+    monkeypatch.setattr(DatasetService, "import_vector_bytes", persist)
+    result = OfficialVectorAcquisitionService.acquire(
+        db,
+        project_id,
+        request(
+            "urbis_buildings",
+            (4.349, 50.839, 4.352, 50.842),
+            area_id=brussels.id,
+        ),
+        settings=Settings(_env_file=None),
+        opener=opener,
+    )
+
+    assert result["output_dataset_id"] == str(dataset_id)
+    assert captured["source_name"] == "urbis"
+    assert captured["reference_layer_name"] == "buildings"
+    assert captured["source_metadata"]["coverage_zones"] == ["brussels"]
+    assert captured["source_metadata"]["selection_aggregation"]["metric_key"] == (
+        "building_footprint_area"
+    )
+    collection = json.loads(captured["content"])
+    geometry = collection["features"][0]["geometry"]
+    assert geometry["type"] in {"Polygon", "MultiPolygon"}
+    first_coordinate = (
+        geometry["coordinates"][0][0][0]
+        if geometry["type"] == "MultiPolygon"
+        else geometry["coordinates"][0][0]
+    )
+    assert 4.34999 <= first_coordinate[0] <= 4.35101
+    assert 50.83999 <= first_coordinate[1] <= 50.84101

backend/tests/test_rc4_national_coverage.py

@@ -12,6 +12,7 @@ from app.main import app
 from app.models import Area, Dataset, Project
 from app.schemas.coverage import CoverageBBox
 from app.services.coverage_registry_service import CoverageRegistryService, THEMES, ZONES
+from app.services.vector_feature_service import VectorFeatureService
 
 
 class FakeQuery:
@@ -72,6 +73,44 @@ def test_coverage_catalog_uses_normalized_contracts_and_does_not_change_provider
     assert response.json()["data"]["themes"] == list(THEMES)
 
 
+def test_national_and_maritime_reference_layers_are_selection_analyzable() -> None:
+    cases = (
+        ("ngi_adminvector", "belgium_municipalities", "administrative"),
+        ("rbins_marine_reporting_units", "marine_legal_scopes", "marine_environment"),
+        ("rbins_msp_2026", "marine_spatial_plan_2026", "maritime_planning"),
+    )
+    for source_name, layer_name, expected_theme in cases:
+        dataset = Dataset(
+            id=uuid4(),
+            project_id=uuid4(),
+            name=f"{layer_name}.geojson",
+            dataset_type="vector",
+            source="operator_official_import",
+            source_name=source_name,
+            reference_layer_name=layer_name,
+            source_metadata={"authority_level": "authoritative"},
+            status="ready",
+        )
+
+        assert VectorFeatureService._dataset_theme(dataset) == expected_theme
+        assert VectorFeatureService.supports_selection_summary(dataset) is True
+
+
+def test_national_scope_operator_assigns_explicit_map_themes() -> None:
+    root = Path(__file__).resolve().parents[2]
+    operator = (root / "scripts" / "provision_belgium_north_sea_scope.py").read_text(encoding="utf-8")
+    map_workspace = (root / "frontend" / "src" / "components" / "map" / "MapWorkspace.tsx").read_text(
+        encoding="utf-8"
+    )
+
+    assert '"belgium_municipalities": "administrative"' in operator
+    assert '"marine_legal_scopes": "marine_environment"' in operator
+    assert '"marine_spatial_plan_2026": "maritime_planning"' in operator
+    assert "id: 'administrative'" in map_workspace
+    assert "id: 'maritime_planning'" in map_workspace
+    assert "id: 'marine_environment'" in map_workspace
+
+
 def test_coverage_resolver_only_reports_operational_for_materialized_ready_dataset() -> None:
     project_id = uuid4()
     project = SimpleNamespace(id=project_id)

backend/tests/test_sprint194_regional_timeseries.py

@@ -55,16 +55,22 @@ def test_population_operator_filters_to_the_approved_scope() -> None:
     module = load_script("provision_mol_population_history.py")
     regional = module.GEOGRAPHIC_SCOPES["kempen-transport-region"]
     mol = module.GEOGRAPHIC_SCOPES["mol"]
+    belgium = module.GEOGRAPHIC_SCOPES["belgium"]
 
     regional_rows = module.population_rows(population_archive(), regional)
     mol_rows = module.population_rows(population_archive(), mol)
+    national_rows = module.population_rows(population_archive(), belgium)
 
     assert set(regional_rows) == {"13025A00-", "13008A00-"}
     assert regional_rows["13008A00-"]["municipality"] == "Geel"
     assert regional_rows["13008A00-"]["nis_code"] == "13008"
     assert set(mol_rows) == {"13025A00-"}
+    assert set(national_rows) == {"13025A00-", "13008A00-", "11002A00-"}
+    assert national_rows["11002A00-"]["municipality"] == "Antwerpen"
+    assert belgium.all_municipalities is True
     assert module.series_key(regional) == "statbel:population-statistical-sector:kempen-transport-region"
     assert module.series_key(mol) == "statbel:population-statistical-sector:mol"
+    assert module.series_key(belgium) == "statbel:population-statistical-sector:belgium"
 
 
 def test_population_operator_resolves_the_persisted_scope_boundary(tmp_path: Path) -> None:
@@ -90,6 +96,48 @@ def test_population_operator_resolves_the_persisted_scope_boundary(tmp_path: Pat
     assert module.resolve_boundary_path(args, scope) == boundary
 
 
+def test_population_operator_resolves_checksum_verified_belgium_boundary(tmp_path: Path) -> None:
+    module = load_script("provision_mol_population_history.py")
+    scope = module.GEOGRAPHIC_SCOPES["belgium"]
+    scope_dir = tmp_path / "belgium-north-sea"
+    scope_dir.mkdir(parents=True)
+    boundary = scope_dir / "belgium_land_boundary.geojson"
+    boundary.write_text(
+        json.dumps(
+            {
+                "type": "FeatureCollection",
+                "features": [
+                    {
+                        "type": "Feature",
+                        "geometry": {
+                            "type": "Polygon",
+                            "coordinates": [[[2.5, 49.5], [6.4, 49.5], [6.4, 51.5], [2.5, 51.5], [2.5, 49.5]]],
+                        },
+                        "properties": {},
+                    }
+                ],
+            }
+        ),
+        encoding="utf-8",
+    )
+    (scope_dir / "manifest.json").write_text(
+        json.dumps(
+            {
+                "scope": "belgium-and-belgian-north-sea",
+                "artifacts": {
+                    "belgium_land_boundary": {
+                        "sha256": module.sha256_path(boundary),
+                    }
+                },
+            }
+        ),
+        encoding="utf-8",
+    )
+    args = argparse.Namespace(boundary_path=None, scope_output_root=tmp_path)
+
+    assert module.resolve_boundary_path(args, scope) == boundary
+
+
 def test_regional_coordinator_builds_explicit_population_and_landuse_commands(tmp_path: Path) -> None:
     module = load_script("provision_regional_timeseries.py")
     scope = module.GEOGRAPHIC_SCOPES["kempen-transport-region"]

backend/tests/test_sprint227_statbel_population_preflight.py

@@ -205,6 +205,42 @@ def test_preflight_reconciles_spatial_and_unlocated_population(tmp_path: Path) -
     assert len(manifest["schemas"]["geometry_schema_sha256"]) == 64
 
 
+def test_preflight_supports_the_complete_national_scope() -> None:
+    result = PREFLIGHT.validate_statbel_release(
+        year=2025,
+        layout="new",
+        population_content=population_archive(),
+        population_url=POPULATION_URL,
+        geometry_content=geometry_archive(),
+        geometry_url=GEOMETRY_URL,
+        scope=PREFLIGHT.GEOGRAPHIC_SCOPES["belgium"],
+    )
+
+    accounting = result.manifest["scope_accounting"]
+    assert accounting["scope_key"] == "belgium"
+    assert accounting["member_count"] == 2
+    assert accounting["member_nis_codes"] == ["13008", "13025"]
+    assert accounting["spatial_population_total"] == 240
+    assert accounting["unlocated_population_total"] == 3
+    assert accounting["accounted_population_total"] == 243
+
+
+def test_national_preflight_rejects_an_unscoped_baseline(tmp_path: Path) -> None:
+    with pytest.raises(PREFLIGHT.StatbelPreflightError) as exc_info:
+        PREFLIGHT.validate_statbel_release(
+            year=2025,
+            layout="new",
+            population_content=population_archive(),
+            population_url=POPULATION_URL,
+            geometry_content=geometry_archive(),
+            geometry_url=GEOMETRY_URL,
+            scope=PREFLIGHT.GEOGRAPHIC_SCOPES["belgium"],
+            baseline_snapshot=baseline_snapshot(tmp_path / "baseline.geojson"),
+        )
+
+    assert exc_info.value.code == "STATBEL_BASELINE_SCOPE_MISMATCH"
+
+
 def test_preflight_reports_bounded_topology_repairs(tmp_path: Path) -> None:
     result = validate(tmp_path, geometry_content=geometry_archive(repairable_invalid=True))
 

backend/tests/test_sprint240_official_flemish_themes.py

@@ -125,7 +125,16 @@ def test_product_registries_expose_honest_forest_agriculture_nature_and_soil() -
     assert raster["agricultural_land_use_2025"]["included_source_values"] == [13, 14]
     assert "geen juridische bosgrens" in raster["forest_land_use_2025"]["limitation_message"].lower()
     assert "geen alz-perceelaangifte" in raster["agricultural_land_use_2025"]["limitation_message"].lower()
-    assert set(vector) == {"bwk_natura2000_2025", "dov_soil_types"}
+    assert {
+        "bwk_natura2000_2025",
+        "dov_soil_types",
+        "spw_picc_buildings",
+        "spw_picc_roads",
+        "spw_picc_waterways",
+        "spw_picc_water_surfaces",
+        "urbis_buildings",
+        "urbis_cadastral_parcels",
+    } == set(vector)
     assert vector["bwk_natura2000_2025"]["authority_level"] == "authoritative"
     assert vector["dov_soil_types"]["authority_level"] == "authoritative_historical_baseline"
     assert "1949-1971" in vector["dov_soil_types"]["observation_label"]
@@ -392,7 +401,7 @@ def test_official_vector_routes_and_frontend_use_canonical_backend_path(monkeypa
 
     assert products_response.status_code == 200
     assert set(products_response.json()) == {"data"}
-    assert products_response.json()["data"]["total"] == 2
+    assert products_response.json()["data"]["total"] == 8
     assert acquire_response.status_code == 200
     assert set(acquire_response.json()) == {"data"}
     assert acquire_response.json()["data"]["job_type"] == "vector.official.acquire"