feat: complete governed Walloon coverage sources

frontend/src/components/map/MapWorkspace.tsx

@@ -9,7 +9,7 @@ import { getDatasetDisplayName, getDatasetSourceDisplayName } from '../../lib/da
 import { TemporalTrendChart } from './TemporalTrendChart'
 import { terrainImageUrl } from '../../lib/terrainImage'
 import { floodHazardImageUrl } from '../../lib/floodHazardImage'
-import { thematicRasterImageUrl } from '../../lib/thematicRaster'
+import { thematicRasterImageUrl, walousRasterImageUrl } from '../../lib/thematicRaster'
 import { bathymetryRasterImageUrl } from '../../lib/bathymetryRaster'
 import { FLANDERS_WORKSPACE_PROJECT_NAME } from '../../config/primaryFocus'
 import {
@@ -59,6 +59,7 @@ const EMPTY_TEMPORAL_SERIES: DatasetCreateResponse[] = []
 type DataThemeId =
   | 'administrative'
   | 'buildings'
+  | 'land_cover'
   | 'space_occupation'
   | 'open_space'
   | 'population'
@@ -110,7 +111,7 @@ function productSupportsSelection(product: OnDemandMapProduct, bbox: VectorSelec
   if (product.kind === 'dhmv' || product.kind === 'flood_hazard') {
     return dimensions.areaSquareMetres <= 280_000_000
   }
-  if (product.kind === 'thematic_raster') {
+  if (product.kind === 'thematic_raster' || product.kind === 'walous') {
     return dimensions.widthMetres <= 50_000
       && dimensions.heightMetres <= 50_000
       && dimensions.areaSquareMetres <= 2_800_000_000
@@ -133,6 +134,13 @@ const DATA_THEMES: DataTheme[] = [
     description: 'Gebouwen en gebouwcontouren uit GRB of een andere persistente bron.',
     tokens: ['buildings', 'building', 'gebouwen', 'gebouw', 'bebouwing', 'gbg'],
   },
+  {
+    id: 'land_cover',
+    label: 'Landbedekking',
+    shortLabel: 'Landbedekking',
+    description: 'Fysieke en biologische bodembedekking uit een officieel regionaal classificatieraster.',
+    tokens: ['land_cover', 'land_cover_use', 'landbedekking', 'walous', 'occupation du sol'],
+  },
   {
     id: 'space_occupation',
     label: 'Ruimtebeslag',
@@ -257,6 +265,7 @@ const DATA_THEMES: DataTheme[] = [
 const COVERAGE_THEME_BY_MAP_THEME: Record<DataThemeId, string> = {
   administrative: 'admin',
   buildings: 'buildings',
+  land_cover: 'land_cover_use',
   space_occupation: 'land_cover_use',
   open_space: 'land_cover_use',
   population: 'population',
@@ -303,6 +312,7 @@ function coverageZoneLabel(zone: string): string {
 const DATA_THEME_MAP_STYLES: Record<DataThemeId, { fill: string; line: string }> = {
   administrative: { fill: '#5f6f7f', line: '#344554' },
   buildings: { fill: '#d45f3d', line: '#9f3e24' },
+  land_cover: { fill: '#4f7b4f', line: '#315c39' },
   space_occupation: { fill: '#be3e33', line: '#8f2c24' },
   open_space: { fill: '#267a46', line: '#175c32' },
   population: { fill: '#7559a6', line: '#5b3f88' },
@@ -358,6 +368,12 @@ function datasetAvailabilityLabel(
     const resolutionLabel = Number.isFinite(resolution) ? `${resolution.toLocaleString('nl-BE')} m` : 'Raster'
     return `${resolutionLabel} officiële bron${Number.isFinite(year) ? ` · ${year}` : ''}`
   }
+  if (dataset.dataset_type === 'raster' && dataset.source_name === 'spw_walous_land_cover') {
+    const resolution = Number(dataset.source_metadata?.['analysis_resolution_m'])
+    const year = Number(dataset.source_metadata?.['observation_year'])
+    const resolutionLabel = Number.isFinite(resolution) ? `${resolution.toLocaleString('nl-BE')} m` : 'Raster'
+    return `${resolutionLabel} WALOUS-landbedekking${Number.isFinite(year) ? ` · ${year}` : ''}`
+  }
   if (dataset.source_name === 'ngi_adminvector') {
     return `${(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} officiële bestuursgebieden`
   }
@@ -406,6 +422,9 @@ function datasetMatchesTheme(dataset: DatasetCreateResponse, theme: DataTheme):
   if (dataset.source_name === 'department_omgeving_thematic_raster') {
     return dataset.source_metadata?.['theme'] === theme.id
   }
+  if (dataset.source_name === 'spw_walous_land_cover') {
+    return theme.id === 'land_cover'
+  }
   if (dataset.source_name === 'dov_soil_map') {
     return theme.id === 'soil'
   }
@@ -522,6 +541,7 @@ function pickThemeDataset(
       (dataset.source_name === 'inbo_bwk_natura2000' ? 95_000 : 0) +
       (dataset.source_name === 'agentschap_landbouw_zeevisserij_agricultural_parcels' ? 98_000 : 0) +
       (dataset.source_name === 'department_omgeving_thematic_raster' ? 5_000_000 : 0) +
+      (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 === 'vmm_flood_hazard' ? 5_000_000 : 0) +
@@ -636,6 +656,10 @@ function formatDatasetObservation(dataset: DatasetCreateResponse): string {
       return `referentiejaar ${observationYear}`
     }
   }
+  if (dataset.source_name === 'spw_walous_land_cover') {
+    const observationYear = Number(dataset.source_metadata?.['observation_year'])
+    return Number.isFinite(observationYear) ? `WALOUS referentiejaar ${observationYear}` : 'WALOUS landbedekking'
+  }
   const period = dataset.source_metadata?.['acquisition_period']
   if (typeof period === 'string' && period.trim()) {
     return `opnameperiode ${period}`
@@ -1085,6 +1109,29 @@ export function MapWorkspace({
         })
       }
     }
+    const latestWalous = officialMapProducts.walous
+      .filter((product) => product.configured && productCoversZones(product.coverage_zones, effectiveZones))
+      .sort((left, right) => right.observation_year - left.observation_year)[0]
+    if (latestWalous) {
+      result.push({
+        kind: 'walous',
+        productKey: latestWalous.key,
+        historyProductKeys: officialMapProducts.walous
+          .filter(
+            (product) =>
+              product.configured
+              && product.key !== latestWalous.key
+              && productCoversZones(product.coverage_zones, effectiveZones),
+          )
+          .map((product) => product.key),
+        displayName: latestWalous.display_name,
+        theme: 'land_cover',
+        availabilityLabel: `${latestWalous.analysis_resolution_m ?? latestWalous.native_resolution_m} m analyse · ${latestWalous.observation_year} · automatisch bij selectie`,
+        attribution: latestWalous.attribution,
+        limitationMessage: latestWalous.limitation_message,
+        coverageZones: latestWalous.coverage_zones,
+      })
+    }
     for (const product of officialMapProducts.officialVector.filter((item) =>
       productCoversZones(item.coverage_zones, effectiveZones),
     )) {
@@ -1319,6 +1366,20 @@ export function MapWorkspace({
       : [],
     [activeThemeDataset, selectedProjectId, thematicRasterBounds],
   )
+  const walousRasterBounds = activeThemeDataset?.source_name === 'spw_walous_land_cover'
+    ? activeThemeDataset.source_metadata?.['bbox_epsg4326']
+    : null
+  const walousRasterImageOverlays = useMemo(
+    () => activeThemeDataset?.source_name === 'spw_walous_land_cover' && selectedProjectId && Array.isArray(walousRasterBounds) && walousRasterBounds.length === 4
+      ? [{
+          url: walousRasterImageUrl(selectedProjectId, activeThemeDataset.id),
+          bbox: walousRasterBounds.map(Number) as [number, number, number, number],
+          label: getDatasetDisplayName(activeThemeDataset),
+          opacity: 0.82,
+        }]
+      : [],
+    [activeThemeDataset, selectedProjectId, walousRasterBounds],
+  )
   const bathymetryRasterBounds = activeThemeDataset?.source_name === 'spw_bathymetry'
     ? activeThemeDataset.source_metadata?.['bbox_epsg4326']
     : null
@@ -1338,6 +1399,8 @@ export function MapWorkspace({
   const activeImageOverlays = useMemo(
     () => bathymetryRasterImageOverlays.length > 0
       ? bathymetryRasterImageOverlays
+      : walousRasterImageOverlays.length > 0
+        ? walousRasterImageOverlays
       : thematicRasterImageOverlays.length > 0
         ? thematicRasterImageOverlays
         : floodHazardImageOverlays.length > 0
@@ -1345,7 +1408,7 @@ export function MapWorkspace({
         : terrainImageOverlays.length > 0
           ? terrainImageOverlays
           : orthophotoImageOverlay ? [orthophotoImageOverlay] : [],
-    [bathymetryRasterImageOverlays, floodHazardImageOverlays, orthophotoImageOverlay, terrainImageOverlays, thematicRasterImageOverlays],
+    [bathymetryRasterImageOverlays, floodHazardImageOverlays, orthophotoImageOverlay, terrainImageOverlays, thematicRasterImageOverlays, walousRasterImageOverlays],
   )
   const municipalityAreaCount = areas.filter((area) => /^Gemeente\s/i.test(area.name)).length
   const themeTemporalSeriesMap = useMemo(
@@ -1908,6 +1971,7 @@ export function MapWorkspace({
               kind: onDemandProduct.kind,
               productKey: onDemandProduct.productKey,
               displayName: onDemandProduct.displayName,
+              historyProductKeys: onDemandProduct.historyProductKeys,
             },
             acquisitionBboxes: onDemandProduct.acquisitionBboxes,
             featureLimit: resultFeatureLimit,
@@ -2471,7 +2535,7 @@ export function MapWorkspace({
               />
               <div className="geo-map-legend" aria-label="Kaartlegende">
                 <span><i className="geo-legend-area" /> Werkgebied</span>
-                {thematicRasterImageOverlays.length > 0 ? (
+                {thematicRasterImageOverlays.length > 0 || walousRasterImageOverlays.length > 0 ? (
                   <span className="geo-legend-thematic">
                     <i className={`geo-legend-ramp geo-legend-ramp-${activeTheme.id}`} />
                     <small>{thematicLegendMin} → {thematicLegendMax}</small>

frontend/src/hooks/useMapThemeSelectionInsights.ts

@@ -9,6 +9,7 @@ import { bathymetryRasterSelectionToMapSelection } from '../lib/bathymetryRaster
 
 export type MapThemeAcquisitionKind =
   | 'thematic_raster'
+  | 'walous'
   | 'dhmv'
   | 'flood_hazard'
   | 'grb'
@@ -19,6 +20,7 @@ export interface MapThemeAcquisition {
   kind: MapThemeAcquisitionKind
   productKey: string
   displayName: string
+  historyProductKeys?: string[]
 }
 
 export interface MapThemeQuery<TThemeId extends string> {
@@ -113,7 +115,7 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
           const resultLimit = featureLimit ?? 1000
           if (acquisition) {
             const requestedBboxes = acquisitionBboxes?.length ? acquisitionBboxes : [bbox]
-            const acquisitionResults = await settleWithConcurrency(requestedBboxes, 1, async (acquisitionBbox) => {
+            const acquireProduct = async (acquisitionBbox: VectorSelectionBBox, productKey: string) => {
               const commonPayload = {
                 bbox: acquisitionBbox,
                 area_id: areaId,
@@ -124,6 +126,11 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
                     ...commonPayload,
                     product_key: acquisition.productKey,
                   })
+                : acquisition.kind === 'walous'
+                  ? await datasetsApi.acquireWalous(selectedProjectId, {
+                      ...commonPayload,
+                      product_key: productKey,
+                    })
                 : acquisition.kind === 'dhmv'
                   ? await datasetsApi.acquireDhmv(selectedProjectId, {
                       ...commonPayload,
@@ -152,13 +159,38 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
                 )
               }
               return datasetsApi.get(selectedProjectId, acquisitionJob.output_dataset_id)
-            })
+            }
+            const acquisitionResults = await settleWithConcurrency(
+              requestedBboxes,
+              1,
+              (acquisitionBbox) => acquireProduct(acquisitionBbox, acquisition.productKey),
+            )
             const failedAcquisition = acquisitionResults.find((item) => item.status === 'rejected')
             if (failedAcquisition?.status === 'rejected') {
               throw failedAcquisition.reason
             }
             acquiredDatasets = acquisitionResults.flatMap((item) => item.status === 'fulfilled' ? [item.value] : [])
             dataset = acquiredDatasets[0]
+            const historyProductKeys = acquisition.kind === 'walous'
+              ? [...new Set(acquisition.historyProductKeys ?? [])].filter((key) => key !== acquisition.productKey)
+              : []
+            if (historyProductKeys.length > 0) {
+              const historyRequests = historyProductKeys.flatMap((productKey) =>
+                requestedBboxes.map((acquisitionBbox) => ({ acquisitionBbox, productKey })),
+              )
+              const historyResults = await settleWithConcurrency(
+                historyRequests,
+                1,
+                ({ acquisitionBbox, productKey }) => acquireProduct(acquisitionBbox, productKey),
+              )
+              const failedHistory = historyResults.find((item) => item.status === 'rejected')
+              if (failedHistory?.status === 'rejected') {
+                throw failedHistory.reason
+              }
+              acquiredDatasets.push(
+                ...historyResults.flatMap((item) => item.status === 'fulfilled' ? [item.value] : []),
+              )
+            }
           }
           if (!dataset) {
             throw new Error(`Geen persistente databron beschikbaar voor thema ${themeId}.`)
@@ -197,8 +229,13 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
               : dataset.dataset_type === 'raster' && dataset.source_name === 'department_omgeving_thematic_raster'
                 ? thematicRasterSelectionToMapSelection(await datasetsApi.selectThematicRaster(selectedProjectId, dataset.id, {
                     bbox,
-                    area_id: areaId,
-                  }))
+                  area_id: areaId,
+                }))
+                : dataset.dataset_type === 'raster' && dataset.source_name === 'spw_walous_land_cover'
+                  ? thematicRasterSelectionToMapSelection(await datasetsApi.selectWalous(selectedProjectId, dataset.id, {
+                      bbox,
+                      area_id: areaId,
+                    }))
                 : dataset.dataset_type === 'raster' && dataset.source_name === 'spw_bathymetry'
                   ? bathymetryRasterSelectionToMapSelection(await datasetsApi.selectBathymetryRaster(selectedProjectId, dataset.id, {
                       bbox,

frontend/src/hooks/useOfficialMapProducts.ts

@@ -14,6 +14,7 @@ import type {
 
 export interface OfficialMapProducts {
   thematic: ThematicRasterProductRead[]
+  walous: ThematicRasterProductRead[]
   dhmv: DhmvProductRead[]
   floodHazard: FloodHazardProductRead[]
   grb: GrbProductRead[]
@@ -23,6 +24,7 @@ export interface OfficialMapProducts {
 
 const EMPTY_PRODUCTS: OfficialMapProducts = {
   thematic: [],
+  walous: [],
   dhmv: [],
   floodHazard: [],
   grb: [],
@@ -50,16 +52,18 @@ export function useOfficialMapProducts(selectedProjectId: string | null) {
     setError(null)
     void Promise.all([
       datasetsApi.listThematicRasterProducts(selectedProjectId),
+      datasetsApi.listWalousProducts(selectedProjectId),
       datasetsApi.listDhmvProducts(selectedProjectId),
       datasetsApi.listFloodHazardProducts(selectedProjectId),
       datasetsApi.listGrbProducts(selectedProjectId),
       datasetsApi.listOfficialVectorProducts(selectedProjectId),
       datasetsApi.listBathymetrySources(selectedProjectId),
     ])
-      .then(([thematic, dhmv, floodHazard, grb, officialVector, bathymetry]) => {
+      .then(([thematic, walous, dhmv, floodHazard, grb, officialVector, bathymetry]) => {
         if (!cancelled) {
           setProducts({
             thematic: thematic.items,
+            walous: walous.items,
             dhmv: dhmv.items,
             floodHazard: floodHazard.items,
             grb: grb.items,

frontend/src/lib/datasetCapabilities.ts

@@ -5,6 +5,7 @@ const NON_IMAGERY_RASTER_SOURCES = new Set([
   'digitaal_vlaanderen_dhmv',
   'vmm_flood_hazard',
   'spw_bathymetry',
+  'spw_walous_land_cover',
 ])
 
 export function isDetectionImageryDataset(dataset: DatasetCreateResponse): boolean {

frontend/src/lib/datasetDisplay.ts

@@ -17,6 +17,7 @@ const DATASET_LABEL_BY_LAYER: Record<string, string> = {
   open_space: 'Open ruimte',
   accessibility: 'Knooppuntwaarde',
   services: 'Voorzieningenniveau',
+  land_cover: 'Landbedekking',
   building_registry: 'Gebouwenregister',
   regional_boundary: 'Grens vervoerregio Kempen',
   municipality_boundaries: 'Gemeentegrenzen Kempen',
@@ -37,6 +38,8 @@ const DATASET_SOURCE_LABELS: Record<string, string> = {
   vmm_flood_hazard: 'Vlaamse Milieumaatschappij',
   vmm_vha_bathymetry_profiles: 'VMM / Vlaamse Hydrografische Atlas',
   spw_bathymetry: 'Service public de Wallonie',
+  spw_walous_land_cover: 'Service public de Wallonie',
+  spw_flood_hazard: 'Service public de Wallonie',
   department_omgeving_thematic_raster: 'Departement Omgeving',
   dov_soil_map: 'Databank Ondergrond Vlaanderen',
 }
@@ -65,6 +68,10 @@ export function getDatasetDisplayName(dataset: DatasetCreateResponse): string {
     const productName = dataset.source_metadata?.['product_display_name']
     return typeof productName === 'string' && productName.trim() ? productName : 'Officieel Vlaams themaraster'
   }
+  if (dataset.source_name === 'spw_walous_land_cover') {
+    const productName = dataset.source_metadata?.['product_display_name']
+    return typeof productName === 'string' && productName.trim() ? productName : 'WALOUS landbedekking'
+  }
   const layer = (dataset.reference_layer_name ?? dataset.source_metadata?.layer_name ?? dataset.source_metadata?.layer_type ?? '')
     .toString()
     .toLowerCase()

frontend/src/lib/thematicRaster.ts

@@ -4,6 +4,10 @@ export function thematicRasterImageUrl(projectId: string, datasetId: string): st
   return `/api/v1/projects/${projectId}/datasets/${datasetId}/raster/thematic/image`
 }
 
+export function walousRasterImageUrl(projectId: string, datasetId: string): string {
+  return `/api/v1/projects/${projectId}/datasets/${datasetId}/raster/walous/image`
+}
+
 export function thematicRasterSelectionToMapSelection(result: ThematicRasterSelectionResponse): VectorSelectionResponse {
   return {
     selection_bbox: result.selection_bbox,

frontend/src/services/api/datasets.ts

@@ -220,12 +220,22 @@ export const datasetsApi = {
     apiPost<JobRead>(`/api/v1/projects/${projectId}/datasets/thematic-raster/acquire`, payload),
   listThematicRasterProducts: (projectId: string): Promise<{ items: ThematicRasterProductRead[]; total: number }> =>
     apiGet<{ items: ThematicRasterProductRead[]; total: number }>(`/api/v1/projects/${projectId}/datasets/thematic-raster/products`),
+  acquireWalous: (projectId: string, payload: ThematicRasterAcquireRequest): Promise<JobRead> =>
+    apiPost<JobRead>(`/api/v1/projects/${projectId}/datasets/walous/acquire`, payload),
+  listWalousProducts: (projectId: string): Promise<{ items: ThematicRasterProductRead[]; total: number }> =>
+    apiGet<{ items: ThematicRasterProductRead[]; total: number }>(`/api/v1/projects/${projectId}/datasets/walous/products`),
   selectThematicRaster: (
     projectId: string,
     datasetId: string,
     payload: { bbox: VectorSelectionRequest['bbox']; area_id?: string },
   ): Promise<ThematicRasterSelectionResponse> =>
     apiPost<ThematicRasterSelectionResponse>(`/api/v1/projects/${projectId}/datasets/${datasetId}/raster/thematic/select`, payload),
+  selectWalous: (
+    projectId: string,
+    datasetId: string,
+    payload: { bbox: VectorSelectionRequest['bbox']; area_id?: string },
+  ): Promise<ThematicRasterSelectionResponse> =>
+    apiPost<ThematicRasterSelectionResponse>(`/api/v1/projects/${projectId}/datasets/${datasetId}/raster/walous/select`, payload),
   refreshMetadata: (projectId: string, datasetId: string): Promise<DatasetCreateResponse> =>
     apiPost<DatasetCreateResponse>(`/api/v1/projects/${projectId}/datasets/${datasetId}/metadata/refresh`, {}),
   inspectRaster: (projectId: string, datasetId: string): Promise<RasterInspectResponse> =>

frontend/src/types.ts

@@ -576,11 +576,12 @@ export interface ThematicRasterAcquireRequest {
 export interface ThematicRasterProductRead {
   key: string
   display_name: string
-  theme: 'space_occupation' | 'open_space' | 'forest' | 'agriculture' | 'population' | 'accessibility' | 'services'
-  metric_kind: 'binary_area' | 'population_density' | 'index_score' | 'normalized_score'
+  theme: 'space_occupation' | 'open_space' | 'forest' | 'agriculture' | 'population' | 'accessibility' | 'services' | 'land_cover'
+  metric_kind: 'binary_area' | 'population_density' | 'index_score' | 'normalized_score' | 'categorical_area'
   coverage_id: string
   native_resolution_m: number
-  source_crs: 'EPSG:31370'
+  analysis_resolution_m?: number | null
+  source_crs: 'EPSG:31370' | 'EPSG:3812'
   source_value_unit: string
   observation_year: number
   source_version: string
@@ -591,6 +592,9 @@ export interface ThematicRasterProductRead {
   legend_max_label: string
   included_source_values: number[]
   limitation_message: string
+  coverage_zones: string[]
+  configured: boolean
+  status: 'configured' | 'source_not_provisioned'
 }
 
 export interface ThematicRasterSelectionResponse {