Keep thematic reference years accurate

CHANGELOG.md

@@ -15,6 +15,9 @@
 - Made one explicit municipality or rectangle selection acquire/reuse,
   persist and analyse space occupation, open space, population density, node
   value and service level through the canonical Job and Dataset services.
+- Automatically selects the usable ruimtebeslag theme when the Flanders
+  workspace inherits an unavailable theme, and displays annual policy products
+  by their governed reference year instead of a timezone-shifted timestamp.
 - Kept whole-Flanders raster acquisition disabled behind the existing 60 km
   and 30 million cell guardrails while preserving complete-region vector and
   partitioned bathymetry analysis.

backend/tests/test_sprint237_flanders_thematic_on_demand.py

@@ -19,6 +19,7 @@ def test_flanders_workspace_exposes_governed_thematic_products_on_demand() -> No
     assert "'Op aanvraag'" in workspace
     assert "theme.id === 'space_occupation'" in workspace
     assert "setActiveThemeId(fallbackTheme.id)" in workspace
+    assert "return `referentiejaar ${observationYear}`" in workspace
     assert "thematicProductKey: thematicProduct.key" in workspace
     assert "datasetsApi.listThematicRasterProducts" in product_hook
     assert "datasetsApi.acquireThematicRaster" in selection_hook

docs/CODEX_EXECUTION_LOG.md

@@ -10182,3 +10182,21 @@ Validation:
 - The complete local release gate passed 932 backend tests, backend
   compilation, the 116-route contract audit, Alembic head `202607160001`,
   frontend TypeScript typecheck and the production Vite build.
+
+Final live acceptance:
+- The Sprint 237 commits were pushed to Gitea and deployed through the
+  all-in-one Tower flow. Container health, PostGIS 3.6, collation,
+  required schema/indexes, Alembic head `202607160001`, frontend proxy and
+  icon checks passed.
+- Browser acceptance exposed and then closed one usability gap: entering
+  Flanders with an unavailable prior theme now automatically selects the
+  usable ruimtebeslag profile.
+- A complete exact-Area Mol run persisted all five official policy rasters and
+  returned six real themes including the existing VHA partition: 3,638.41 ha
+  ruimtebeslag, 8,139.67 ha open space, an estimated 36,783 inhabitants for
+  2019, mean node value 0.68, mean service level 0.16 and 828 bathymetry
+  profiles. A repeated run reused the retained raster requests.
+- The five new full-Mol Datasets are `ready`, linked to the canonical Mol Area
+  and labelled `coverage_scope=municipality`. The UI reports product reference
+  years directly so an end-of-year UTC timestamp cannot roll 2025 into a
+  misleading local `1 jan 2026` label.

frontend/src/components/map/MapWorkspace.tsx

@@ -458,6 +458,12 @@ function formatDatasetObservation(dataset: DatasetCreateResponse): string {
       ? `historische profielen ${firstMeasurement}-${lastMeasurement}`
       : 'historische profielmetingen'
   }
+  if (dataset.source_name === 'department_omgeving_thematic_raster') {
+    const observationYear = Number(dataset.source_metadata?.['observation_year'])
+    if (Number.isFinite(observationYear)) {
+      return `referentiejaar ${observationYear}`
+    }
+  }
   const period = dataset.source_metadata?.['acquisition_period']
   if (typeof period === 'string' && period.trim()) {
     return `opnameperiode ${period}`