Add governed VMM flood hazard scenarios

frontend/src/lib/datasetDisplay.ts

@@ -9,6 +9,7 @@ const DATASET_LABEL_BY_LAYER: Record<string, string> = {
   forest: 'Bos en groen',
   nature_value: 'Natuurwaarde',
   agriculture: 'Landbouwgebruikspercelen',
+  flood_hazard: 'Overstromingsgevaar',
   elevation: 'Hoogte en reliëf',
   building_registry: 'Gebouwenregister',
   regional_boundary: 'Grens vervoerregio Kempen',
@@ -27,6 +28,7 @@ const DATASET_SOURCE_LABELS: Record<string, string> = {
   statbel: 'Statbel',
   vrbg: 'Digitaal Vlaanderen',
   waterinfo: 'Waterinfo Vlaanderen',
+  vmm_flood_hazard: 'Vlaamse Milieumaatschappij',
 }
 
 export function getDatasetSourceDisplayName(dataset: DatasetCreateResponse): string {
@@ -39,6 +41,10 @@ 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 === 'vmm_flood_hazard') {
+    const productName = dataset.source_metadata?.['product_display_name']
+    return typeof productName === 'string' && productName.trim() ? productName : 'VMM-overstromingsscenario'
+  }
   const layer = (dataset.reference_layer_name ?? dataset.source_metadata?.layer_name ?? dataset.source_metadata?.layer_type ?? '')
     .toString()
     .toLowerCase()

frontend/src/lib/floodHazardImage.ts

@@ -0,0 +1,3 @@
+export function floodHazardImageUrl(projectId: string, datasetId: string): string {
+  return `/api/v1/projects/${projectId}/datasets/${datasetId}/raster/flood-hazard/image`
+}

frontend/src/lib/floodHazardSelection.ts

@@ -0,0 +1,20 @@
+import type { FloodHazardSelectionResponse, VectorSelectionResponse } from '../types'
+
+export function floodHazardSelectionToMapSelection(result: FloodHazardSelectionResponse): VectorSelectionResponse {
+  return {
+    selection_bbox: result.selection_bbox,
+    selection_area_id: result.selection_area_id,
+    feature_count: result.inundated_cell_count,
+    total_feature_count: result.inundated_cell_count,
+    limit: 0,
+    truncated: false,
+    geojson: { type: 'FeatureCollection', features: [] },
+    summary: {
+      ...result.summary,
+      feature_count: result.inundated_cell_count,
+      is_estimate: false,
+      warning: result.limitation_message,
+      metrics: result.summary.metrics.map((metric) => ({ ...metric, is_estimate: false })),
+    },
+  }
+}