Add bounded terrain and flood analysis
This commit is contained in:
@@ -314,6 +314,9 @@ metres, publication metadata, attribution and limitation.
|
||||
|
||||
Acquires one bounded official VMM OGRK WCS 1.1 coverage behind the synchronous
|
||||
Job abstraction. Arbitrary coverage identifiers and service URLs are rejected.
|
||||
When `product_key` is omitted, the governed default is
|
||||
`pluviaal_current_t100`; the default is itself present in the fixed product
|
||||
registry.
|
||||
|
||||
```json
|
||||
{
|
||||
|
||||
@@ -10200,3 +10200,25 @@ Final live acceptance:
|
||||
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.
|
||||
|
||||
## Sprint 238 - Governed Flanders terrain and flood selection (2026-07-17)
|
||||
|
||||
Implemented:
|
||||
- Replaced the policy-raster-specific map query field with a typed official
|
||||
raster acquisition contract for `thematic_raster`, `dhmv` and
|
||||
`flood_hazard`.
|
||||
- Added a single Flanders product hook that loads all three fixed backend
|
||||
registries in parallel. The browser still uses only canonical GeoIntel API
|
||||
routes and has no external WCS URL.
|
||||
- Added an end-user DTM/DSM selector and the full twelve-product VMM scenario
|
||||
selector. Existing exact-area Datasets are reused; absent products are
|
||||
acquired, persisted, analyzed and reflected back into the Dataset catalog.
|
||||
- Extended the all-theme selection run with terrain and flood hazard while
|
||||
preserving area intersection and the no-whole-Flanders-raster guard.
|
||||
- Fixed the invalid default flood key spelling in the Pydantic request schema.
|
||||
|
||||
Validation:
|
||||
- Focused DHMV, VMM, map-orchestration and source-contract tests passed
|
||||
(49 tests).
|
||||
- Frontend TypeScript typecheck and production build passed before the full
|
||||
release gate.
|
||||
|
||||
Reference in New Issue
Block a user