feat: complete Wallonia land cover and terrain sources

frontend/README.md

@@ -766,16 +766,22 @@ never contacts WCS, WFS or OGC providers directly.
 ## Walloon current and historical land cover
 
 For a bounded Walloon selection, `Landbedekking` resolves the newest configured
-WALOUS product and automatically persists the other configured comparable
-edition for the same rectangle. Current analysis shows semantic hectare
+WALOUS product and automatically persists the other configured governed
+editions for the same rectangle. Current analysis shows semantic hectare
 metrics and an 11-class MapLibre image overlay. After dataset refresh,
-`Evolutie` offers 2020 versus 2023 through the same period selector and trend
-chart used by other temporal sources. Individual object-change counts remain
+`Evolutie` offers 2018, 2020 and 2023 through the same period selector and
+trend chart used by other temporal sources, with the 2018 visible-class
+crosswalk and methodology warning retained. Individual object-change counts remain
 unavailable for categorical rasters and are not simulated.
 
 The source card remains `Op aanvraag` when the official source files are not
 provisioned and never contacts SPW directly from the browser.
 
+For Walloon elevation, the same regional resolution selects the configured
+SPW MNT 2021-2022 product, persists only the bounded derivative and labels
+height in `m DNG`. Flemish DHMV stays in `m TAW`; the UI never merges those
+vertical references.
+
 ## Belgium and Belgian North Sea coverage
 
 When `Belgium and North Sea Workbench` exists with ready reference data, it is

frontend/src/App.tsx

@@ -216,7 +216,7 @@ function App(): JSX.Element {
     () => {
       const vectors = datasets.filter((dataset) => isVectorDatasetType(dataset.dataset_type) && dataset.status === 'ready')
       const terrain = datasets.filter(
-        (dataset) => dataset.dataset_type === 'raster' && dataset.source_name === 'digitaal_vlaanderen_dhmv' && dataset.status === 'ready',
+        (dataset) => dataset.dataset_type === 'raster' && ['digitaal_vlaanderen_dhmv', 'spw_terrain'].includes(dataset.source_name ?? '') && dataset.status === 'ready',
       )
       const floodHazards = datasets.filter(
         (dataset) => dataset.dataset_type === 'raster' && dataset.source_name === 'vmm_flood_hazard' && dataset.status === 'ready',

frontend/src/components/WorkbenchStatusStrip.tsx

@@ -45,6 +45,7 @@ const ANALYTICAL_SOURCE_NAMES = new Set([
   'agentschap_landbouw_zeevisserij_agricultural_parcels',
   'dov_soil_map',
   'digitaal_vlaanderen_dhmv',
+  'spw_terrain',
   'vmm_flood_hazard',
   'vmm_vha_bathymetry_profiles',
 ])

frontend/src/components/datasets/SourceCatalogPanel.tsx

@@ -100,7 +100,7 @@ export function SourceCatalogPanel({
   const buildingsRegisterDatasets = ready.filter(
     (dataset) => dataset.source_name === 'digitaal_vlaanderen_buildings_addresses_register',
   )
-  const dhmvDatasets = ready.filter((dataset) => dataset.source_name === 'digitaal_vlaanderen_dhmv')
+  const dhmvDatasets = ready.filter((dataset) => ['digitaal_vlaanderen_dhmv', 'spw_terrain'].includes(dataset.source_name ?? ''))
   const floodHazardDatasets = ready.filter((dataset) => dataset.source_name === 'vmm_flood_hazard')
   const bathymetryProfileDatasets = ready.filter(
     (dataset) => dataset.source_name === 'vmm_vha_bathymetry_profiles',

frontend/src/components/detection/DetectionLab.tsx

@@ -310,11 +310,11 @@ export function DetectionLab({
       <p className="ai-quality-guidance">
         {detectionQualityInterpretation(selectedOperatorProfile?.f1)}
       </p>
-      {selectedOperatorProfile && !selectedOperatorProfile.nationallyValidated ? (
+      {selectedOperatorProfile && selectedDetectionModel?.nationally_validated !== true ? (
         <div className="result-state result-state-warning" role="status">
           <strong>Nog niet nationaal gevalideerd</strong>
           <p>
-            Dit model is operationeel voor gecontroleerde beeldanalyse, maar de gemeten kwaliteit geldt alleen voor {selectedOperatorProfile.validationScope}.
+            Dit model is operationeel voor gecontroleerde beeldanalyse, maar de gemeten kwaliteit geldt alleen voor {selectedDetectionModel?.validation_scope ?? selectedOperatorProfile.validationScope}.
             Resultaten elders in Belgie of op zee vereisen lokale referentiedata en QA voordat ze als betrouwbaar kunnen worden vrijgegeven.
           </p>
         </div>

frontend/src/components/detection/detectionProfiles.ts

@@ -11,7 +11,6 @@ export interface DetectionOperatorProfile {
   positiveSampleCount: number
   maxBackgroundDetections: number
   validationScope: string
-  nationallyValidated: boolean
   description: string
   limitationMessage: string
 }
@@ -30,7 +29,6 @@ export const DETECTION_OPERATOR_PROFILES: DetectionOperatorProfile[] = [
     positiveSampleCount: 7,
     maxBackgroundDetections: 0,
     validationScope: '7 onafhankelijke testgebieden in Mol en de Kempen',
-    nationallyValidated: false,
     description:
       'Aanbevolen profiel met een evenwicht tussen gevonden en gemiste kleine gebouwen, opnieuw gemeten over zeven onafhankelijke testgebieden in Mol en de Kempen.',
     limitationMessage:
@@ -49,7 +47,6 @@ export const DETECTION_OPERATOR_PROFILES: DetectionOperatorProfile[] = [
     positiveSampleCount: 7,
     maxBackgroundDetections: 0,
     validationScope: '7 onafhankelijke testgebieden in Mol en de Kempen',
-    nationallyValidated: false,
     description: 'Voorgaand profiel voor controles waarbij minder foutieve vondsten belangrijker zijn dan maximale dekking.',
     limitationMessage:
       'De lege-achtergrondtest is geslaagd. Dit profiel vindt minder onterechte objecten, maar mist meer kleine gebouwen dan het aanbevolen profiel.',
@@ -67,7 +64,6 @@ export const DETECTION_OPERATOR_PROFILES: DetectionOperatorProfile[] = [
     positiveSampleCount: 7,
     maxBackgroundDetections: 0,
     validationScope: '7 onafhankelijke testgebieden in Mol en de Kempen',
-    nationallyValidated: false,
     description: 'Profiel met hoge precisie voor controles waarbij zo weinig mogelijk foutieve vondsten zwaarder wegen dan volledige dekking.',
     limitationMessage:
       'Goedgekeurd na de lege-achtergrondtest. Resultaten in dun bebouwde context blijven altijd controlebewijs en geen automatische waarheid.',

frontend/src/components/map/MapWorkspace.tsx

@@ -108,7 +108,7 @@ function productSupportsSelection(product: OnDemandMapProduct, bbox: VectorSelec
   const scale = selectionAnalysisScale(bbox)
   if (scale === 'overview') return false
   const dimensions = selectionDimensions(bbox)
-  if (product.kind === 'dhmv' || product.kind === 'flood_hazard') {
+  if (product.kind === 'dhmv' || product.kind === 'spw_terrain' || product.kind === 'flood_hazard') {
     return dimensions.areaSquareMetres <= 280_000_000
   }
   if (product.kind === 'thematic_raster' || product.kind === 'walous') {
@@ -338,7 +338,7 @@ function datasetAvailabilityLabel(
 ): string {
   const partitionCount = partitions.length
   const regionalSuffix = partitionCount > 1 ? ` · ${partitionCount} gemeenten` : ''
-  if (dataset.dataset_type === 'raster' && dataset.source_name === 'digitaal_vlaanderen_dhmv') {
+  if (dataset.dataset_type === 'raster' && ['digitaal_vlaanderen_dhmv', 'spw_terrain'].includes(dataset.source_name ?? '')) {
     const resolution = Number(dataset.source_metadata?.['analysis_resolution_m'])
     return `${Number.isFinite(resolution) ? `${resolution.toLocaleString('nl-BE')} m` : 'Raster'} hoogtegrid${regionalSuffix}`
   }
@@ -416,7 +416,7 @@ function datasetMatchesTheme(dataset: DatasetCreateResponse, theme: DataTheme):
   if (dataset.source_name === 'spw_bathymetry') {
     return theme.id === 'bathymetry'
   }
-  if (dataset.source_name === 'digitaal_vlaanderen_dhmv') {
+  if (['digitaal_vlaanderen_dhmv', 'spw_terrain'].includes(dataset.source_name ?? '')) {
     return theme.id === 'elevation'
   }
   if (dataset.source_name === 'department_omgeving_thematic_raster') {
@@ -444,7 +444,7 @@ function datasetMatchesTheme(dataset: DatasetCreateResponse, theme: DataTheme):
 function isPartitionedRaster(dataset: DatasetCreateResponse | null | undefined): boolean {
   return Boolean(
     dataset?.dataset_type === 'raster'
-      && ['digitaal_vlaanderen_dhmv', 'vmm_flood_hazard'].includes(dataset.source_name ?? ''),
+      && ['digitaal_vlaanderen_dhmv', 'spw_terrain', 'vmm_flood_hazard'].includes(dataset.source_name ?? ''),
   )
 }
 
@@ -544,6 +544,7 @@ function pickThemeDataset(
       (dataset.source_name === 'spw_walous_land_cover' ? 5_000_000 : 0) +
       (dataset.source_name === 'digitaal_vlaanderen_buildings_addresses_register' ? 5_000_000 : 0) +
       (dataset.source_name === 'digitaal_vlaanderen_dhmv' ? 5_000_000 : 0) +
+      (dataset.source_name === 'spw_terrain' ? 5_000_000 : 0) +
       (dataset.source_name === 'vmm_flood_hazard' ? 5_000_000 : 0) +
       (dataset.source_name === 'vmm_vha_bathymetry_profiles' ? 5_000_000 : 0) +
       (dataset.source_name === 'spw_bathymetry' ? 5_100_000 : 0) +
@@ -873,6 +874,7 @@ export function MapWorkspace({
     selectedCoverageZones?.includes('flanders')
       || (!selectedCoverageZones && activeScopeProject?.name === FLANDERS_WORKSPACE_PROJECT_NAME),
   )
+  const walloniaScopeSelected = Boolean(selectedCoverageZones?.includes('wallonia'))
   const {
     themeInsights,
     themeInsightsLoading: themeResultsLoading,
@@ -992,6 +994,14 @@ export function MapWorkspace({
           && datasetCoversSelectedArea(dataset, selectedMapAreaId, selectedMapArea?.name, regionalScopeSelected),
       ) ?? null
     }
+    if (walloniaScopeSelected && officialMapProducts.spwTerrain.some((product) => product.configured)) {
+      result.elevation = availableMapDatasets.find(
+        (dataset) =>
+          dataset.source_name === 'spw_terrain'
+          && datasetProductKey(dataset) === 'spw_mnt_1m_2021_2022'
+          && datasetCoversSelectedArea(dataset, selectedMapAreaId, selectedMapArea?.name, regionalScopeSelected),
+      ) ?? null
+    }
     if (flandersScopeSelected && officialMapProducts.thematic.length > 0) {
       for (const product of officialMapProducts.thematic) {
         if (!result[product.theme]) {
@@ -1021,6 +1031,7 @@ export function MapWorkspace({
     flandersScopeSelected,
     floodHazardDatasets,
     officialMapProducts.dhmv.length,
+    officialMapProducts.spwTerrain,
     officialMapProducts.floodHazard.length,
     officialMapProducts.grb,
     officialMapProducts.officialVector,
@@ -1032,6 +1043,7 @@ export function MapWorkspace({
     selectedMapArea?.name,
     selectedMapAreaId,
     selectedCoverageZones,
+    walloniaScopeSelected,
   ])
   const themePartitionMap = useMemo(
     () =>
@@ -1066,6 +1078,7 @@ export function MapWorkspace({
       effectiveZones?.includes('flanders')
         || (!effectiveZones && activeScopeProject?.name === FLANDERS_WORKSPACE_PROJECT_NAME),
     )
+    const includesWallonia = Boolean(effectiveZones?.includes('wallonia'))
     if (includesFlanders) {
       for (const product of officialMapProducts.thematic) {
         result.push({
@@ -1161,6 +1174,21 @@ export function MapWorkspace({
         coverageZones: ['flanders'],
       })
     }
+    const spwTerrainProduct = includesWallonia
+      ? officialMapProducts.spwTerrain.find((product) => product.configured)
+      : null
+    if (spwTerrainProduct) {
+      result.push({
+        kind: 'spw_terrain',
+        productKey: spwTerrainProduct.key,
+        displayName: spwTerrainProduct.display_name,
+        theme: 'elevation',
+        availabilityLabel: `${spwTerrainProduct.analysis_resolution_m} m analyse · ${spwTerrainProduct.acquisition_period} · automatisch bij selectie`,
+        attribution: spwTerrainProduct.attribution,
+        limitationMessage: spwTerrainProduct.limitation_message,
+        coverageZones: spwTerrainProduct.coverage_zones,
+      })
+    }
     const floodProduct = includesFlanders
       ? officialMapProducts.floodHazard.find(
           (product) => product.key === selectedFloodHazardProductKey,
@@ -1319,7 +1347,7 @@ export function MapWorkspace({
       activeTheme.id === 'elevation' && selectedProjectId
         ? activeThemePartitions.flatMap((dataset) => {
             const bounds = dataset.source_metadata?.['bbox_epsg4326']
-            return dataset.source_name === 'digitaal_vlaanderen_dhmv'
+            return ['digitaal_vlaanderen_dhmv', 'spw_terrain'].includes(dataset.source_name ?? '')
               && Array.isArray(bounds)
               && bounds.length === 4
               ? [{
@@ -1530,7 +1558,7 @@ export function MapWorkspace({
   const terrainReliefMetric = activeSupportingMetrics.find((metric) => metric.metric_key === 'relief_m')
   const populationDensityMetric = activeSupportingMetrics.find((metric) => metric.metric_key === 'population_density_mean_per_ha')
   const scoreMedianMetric = activeSupportingMetrics.find((metric) => metric.metric_key.endsWith('_median'))
-  const activeSecondaryMetric = activeMetricUnit === 'm TAW'
+  const activeSecondaryMetric = activeMetricUnit === 'm TAW' || activeMetricUnit === 'm DNG'
     ? terrainReliefMetric ? `${terrainReliefMetric.metric_value.toLocaleString('nl-BE', { maximumFractionDigits: 2 })} m reliëf` : null
     : activeMetricUnit === 'inwoners'
       ? populationDensityMetric ? selectionMetricLabel(populationDensityMetric) : null
@@ -1543,7 +1571,7 @@ export function MapWorkspace({
       : null
   const activeSecondaryLabel = activeMetricUnit === 'ha'
     ? 'Aandeel selectie'
-    : activeMetricUnit === 'm TAW'
+    : activeMetricUnit === 'm TAW' || activeMetricUnit === 'm DNG'
       ? 'Reliëf'
       : activeMetricUnit === 'inwoners'
         ? 'Gemiddelde dichtheid'
@@ -2301,7 +2329,7 @@ export function MapWorkspace({
               <p className="error">{officialMapProductsError}</p>
             ) : null}
 
-            {analysisMode === 'current' && activeTheme.id === 'elevation' && officialMapProducts.dhmv.length > 0 ? (
+            {analysisMode === 'current' && activeTheme.id === 'elevation' && flandersScopeSelected && officialMapProducts.dhmv.length > 0 ? (
               <label className="geo-scope-select">
                 Hoogtemodel
                 <select
@@ -2334,6 +2362,9 @@ export function MapWorkspace({
                 <small>DTM meet het maaiveld; DSM bevat ook gebouwen en vegetatie.</small>
               </label>
             ) : null}
+            {analysisMode === 'current' && activeTheme.id === 'elevation' && walloniaScopeSelected && officialMapProducts.spwTerrain.some((product) => product.configured) ? (
+              <p className="geo-data-notice">SPW MNT 2021-2022 · 1 m bron · 5 m begrensde analyse · hoogte in m DNG.</p>
+            ) : null}
 
             {analysisMode === 'current' && activeTheme.id === 'flood_hazard' && officialMapProducts.floodHazard.length > 0 ? (
               <label className="geo-scope-select">

frontend/src/components/map/mapWorkspaceUtils.ts

@@ -108,7 +108,7 @@ export function persistedDatasetSupportsSelection(
   const scale = selectionAnalysisScale(bbox)
   if (scale === 'overview') return false
   const dimensions = selectionDimensions(bbox)
-  if (dataset.source_name === 'digitaal_vlaanderen_dhmv' || dataset.source_name === 'vmm_flood_hazard') {
+  if (dataset.source_name === 'digitaal_vlaanderen_dhmv' || dataset.source_name === 'spw_terrain' || dataset.source_name === 'vmm_flood_hazard') {
     return dimensions.areaSquareMetres <= 280_000_000
   }
   if (dataset.source_name === 'department_omgeving_thematic_raster') {

frontend/src/hooks/useMapSelectionExtract.ts

@@ -42,7 +42,7 @@ export function useMapSelectionExtract({
       setMapSelectionError('Open a vector dataset before extracting a map area.')
       return null
     }
-    const terrainDataset = selectedDataset.dataset_type === 'raster' && selectedDataset.source_name === 'digitaal_vlaanderen_dhmv'
+    const terrainDataset = selectedDataset.dataset_type === 'raster' && ['digitaal_vlaanderen_dhmv', 'spw_terrain'].includes(selectedDataset.source_name ?? '')
     const floodHazardDataset = selectedDataset.dataset_type === 'raster' && selectedDataset.source_name === 'vmm_flood_hazard'
     const thematicRasterDataset = selectedDataset.dataset_type === 'raster' && selectedDataset.source_name === 'department_omgeving_thematic_raster'
     const bathymetryRasterDataset = selectedDataset.dataset_type === 'raster' && selectedDataset.source_name === 'spw_bathymetry'

frontend/src/hooks/useMapThemeSelectionInsights.ts

@@ -11,6 +11,7 @@ export type MapThemeAcquisitionKind =
   | 'thematic_raster'
   | 'walous'
   | 'dhmv'
+  | 'spw_terrain'
   | 'flood_hazard'
   | 'grb'
   | 'official_vector'
@@ -136,6 +137,11 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
                       ...commonPayload,
                       product_key: acquisition.productKey as 'dtm_1m' | 'dsm_1m',
                     })
+                  : acquisition.kind === 'spw_terrain'
+                    ? await datasetsApi.acquireSpwTerrain(selectedProjectId, {
+                        ...commonPayload,
+                        product_key: 'spw_mnt_1m_2021_2022',
+                      })
                   : acquisition.kind === 'flood_hazard'
                     ? await datasetsApi.acquireFloodHazard(selectedProjectId, {
                         ...commonPayload,
@@ -198,9 +204,9 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
           const acquiredDatasetIds = acquiredDatasets.map((item) => item.id)
           const selectedDatasetIds = acquiredDatasetIds.length > 0 ? acquiredDatasetIds : datasetIds ?? []
           const acquiredAsPartitions = acquiredDatasetIds.length > 1
-          const result = dataset.dataset_type === 'raster' && dataset.source_name === 'digitaal_vlaanderen_dhmv'
+          const result = dataset.dataset_type === 'raster' && ['digitaal_vlaanderen_dhmv', 'spw_terrain'].includes(dataset.source_name ?? '')
             ? terrainSelectionToMapSelection(
-                partitioned || acquiredAsPartitions
+                dataset.source_name === 'digitaal_vlaanderen_dhmv' && (partitioned || acquiredAsPartitions)
                   ? await datasetsApi.selectTerrainPartitions(selectedProjectId, {
                       bbox,
                       area_id: areaId,

frontend/src/hooks/useOfficialMapProducts.ts

@@ -5,6 +5,7 @@ import type {
   BathymetrySourceRead,
   CoverageResolveResponse,
   DhmvProductRead,
+  SpwTerrainProductRead,
   FloodHazardProductRead,
   GrbProductRead,
   OfficialVectorProductRead,
@@ -16,6 +17,7 @@ export interface OfficialMapProducts {
   thematic: ThematicRasterProductRead[]
   walous: ThematicRasterProductRead[]
   dhmv: DhmvProductRead[]
+  spwTerrain: SpwTerrainProductRead[]
   floodHazard: FloodHazardProductRead[]
   grb: GrbProductRead[]
   officialVector: OfficialVectorProductRead[]
@@ -26,6 +28,7 @@ const EMPTY_PRODUCTS: OfficialMapProducts = {
   thematic: [],
   walous: [],
   dhmv: [],
+  spwTerrain: [],
   floodHazard: [],
   grb: [],
   officialVector: [],
@@ -54,17 +57,19 @@ export function useOfficialMapProducts(selectedProjectId: string | null) {
       datasetsApi.listThematicRasterProducts(selectedProjectId),
       datasetsApi.listWalousProducts(selectedProjectId),
       datasetsApi.listDhmvProducts(selectedProjectId),
+      datasetsApi.listSpwTerrainProducts(selectedProjectId),
       datasetsApi.listFloodHazardProducts(selectedProjectId),
       datasetsApi.listGrbProducts(selectedProjectId),
       datasetsApi.listOfficialVectorProducts(selectedProjectId),
       datasetsApi.listBathymetrySources(selectedProjectId),
     ])
-      .then(([thematic, walous, dhmv, floodHazard, grb, officialVector, bathymetry]) => {
+      .then(([thematic, walous, dhmv, spwTerrain, floodHazard, grb, officialVector, bathymetry]) => {
         if (!cancelled) {
           setProducts({
             thematic: thematic.items,
             walous: walous.items,
             dhmv: dhmv.items,
+            spwTerrain: spwTerrain.items,
             floodHazard: floodHazard.items,
             grb: grb.items,
             officialVector: officialVector.items,
@@ -75,7 +80,7 @@ export function useOfficialMapProducts(selectedProjectId: string | null) {
       .catch((requestError) => {
         if (!cancelled) {
           setProducts(EMPTY_PRODUCTS)
-          setError(formatError(requestError, 'De officiële Vlaamse kaartcatalogi konden niet worden geladen.'))
+          setError(formatError(requestError, 'De officiële regionale kaartcatalogi konden niet worden geladen.'))
         }
       })
       .finally(() => {

frontend/src/lib/datasetCapabilities.ts

@@ -3,6 +3,7 @@ import type { DatasetCreateResponse } from '../types'
 const NON_IMAGERY_RASTER_SOURCES = new Set([
   'department_omgeving_thematic_raster',
   'digitaal_vlaanderen_dhmv',
+  'spw_terrain',
   'vmm_flood_hazard',
   'spw_bathymetry',
   'spw_walous_land_cover',

frontend/src/lib/datasetDisplay.ts

@@ -29,6 +29,7 @@ const DATASET_SOURCE_LABELS: Record<string, string> = {
   digitaal_vlaanderen_orthophoto: 'Digitaal Vlaanderen',
   digitaal_vlaanderen_buildings_addresses_register: 'Digitaal Vlaanderen',
   digitaal_vlaanderen_dhmv: 'Digitaal Vlaanderen',
+  spw_terrain: 'Service public de Wallonie',
   grb: 'GRB',
   historical_landuse: 'Digitaal Vlaanderen',
   inbo_bwk_natura2000: 'INBO',
@@ -54,6 +55,10 @@ export function getDatasetDisplayName(dataset: DatasetCreateResponse): string {
     const productName = dataset.source_metadata?.['product_display_name']
     return typeof productName === 'string' && productName.trim() ? productName : 'DHMV II hoogtemodel'
   }
+  if (dataset.source_name === 'spw_terrain') {
+    const productName = dataset.source_metadata?.['product_display_name']
+    return typeof productName === 'string' && productName.trim() ? productName : 'SPW terreinmodel 2021-2022'
+  }
   if (dataset.source_name === 'vmm_flood_hazard') {
     const productName = dataset.source_metadata?.['product_display_name']
     return typeof productName === 'string' && productName.trim() ? productName : 'VMM-overstromingsscenario'

frontend/src/lib/sourcePortfolio.ts

@@ -199,10 +199,10 @@ export const OFFICIAL_SOURCE_PORTFOLIO: OfficialSourceDefinition[] = [
     owner: 'Digitaal Vlaanderen',
     coverage: 'DTM/DSM, opname 2013-2015',
     value: 'Hoogte, reliëf en helling als gemeten terreinbasis.',
-    metricExamples: 'hoogte m TAW, reliëf en helling in graden',
+    metricExamples: 'hoogte in de regionale verticale referentie, reliëf en helling in graden',
     priority: 'next',
     url: 'https://www.vlaanderen.be/digitaal-vlaanderen/onze-diensten-en-platformen/earth-observation-data-science-eodas/het-digitaal-hoogtemodel/digitaal-hoogtemodel-vlaanderen-ii',
-    matches: (dataset) => sourceNameIs(dataset, 'digitaal_vlaanderen_dhmv'),
+    matches: (dataset) => sourceNameIs(dataset, 'digitaal_vlaanderen_dhmv') || sourceNameIs(dataset, 'spw_terrain'),
   },
   {
     key: 'soil_map',

frontend/src/services/api/datasets.ts

@@ -27,6 +27,8 @@ import type {
   BathymetrySourceProbeRead,
   BathymetrySourceRead,
   DhmvProductRead,
+  SpwTerrainAcquireRequest,
+  SpwTerrainProductRead,
   GrbAcquireRequest,
   GrbProductRead,
   OfficialVectorAcquireRequest,
@@ -151,6 +153,10 @@ export const datasetsApi = {
     apiPost<JobRead>(`/api/v1/projects/${projectId}/datasets/dhmv/acquire`, payload),
   listDhmvProducts: (projectId: string): Promise<{ items: DhmvProductRead[]; total: number }> =>
     apiGet<{ items: DhmvProductRead[]; total: number }>(`/api/v1/projects/${projectId}/datasets/dhmv/products`),
+  acquireSpwTerrain: (projectId: string, payload: SpwTerrainAcquireRequest): Promise<JobRead> =>
+    apiPost<JobRead>(`/api/v1/projects/${projectId}/datasets/spw-terrain/acquire`, payload),
+  listSpwTerrainProducts: (projectId: string): Promise<{ items: SpwTerrainProductRead[]; total: number }> =>
+    apiGet<{ items: SpwTerrainProductRead[]; total: number }>(`/api/v1/projects/${projectId}/datasets/spw-terrain/products`),
   acquireGrb: (projectId: string, payload: GrbAcquireRequest): Promise<JobRead> =>
     apiPost<JobRead>(`/api/v1/projects/${projectId}/datasets/grb/acquire`, payload),
   listGrbProducts: (projectId: string): Promise<{ items: GrbProductRead[]; total: number }> =>

frontend/src/types.ts

@@ -362,6 +362,33 @@ export interface DhmvProductRead {
   limitation_message: string
 }
 
+export interface SpwTerrainAcquireRequest {
+  bbox: VectorSelectionBBox
+  area_id?: string | null
+  product_key?: 'spw_mnt_1m_2021_2022'
+  resolution_m?: number | null
+  force_refresh?: boolean
+}
+
+export interface SpwTerrainProductRead {
+  key: 'spw_mnt_1m_2021_2022'
+  display_name: string
+  surface_model: 'terrain'
+  source_filename: string
+  native_resolution_m: number
+  analysis_resolution_m: number
+  source_crs: 'EPSG:3812'
+  vertical_reference: string
+  acquisition_period: string
+  catalog_url: string
+  attribution: string
+  license_note: string
+  limitation_message: string
+  coverage_zones: string[]
+  configured: boolean
+  status: string
+}
+
 export interface GrbAcquireRequest {
   bbox: VectorSelectionBBox
   area_id?: string | null
@@ -1156,6 +1183,11 @@ export interface DetectionModelCapability {
   status: string
   limitation_message: string
   version?: string | null
+  training_scope?: string | null
+  validation_scope?: string | null
+  validated_regions: string[]
+  nationally_validated: boolean
+  operator_review_required: boolean
 }
 
 export interface DetectionModelsResponse {