Build a STAC Wildfire Imagery Evidence Link Compiler

Process SpatioTemporal Asset Catalog metadata to identify post-wildfire multispectral imagery over damaged agricultural parcels. Construct verifiable claim evidence dossiers compiling pre- and post-fire imagery asset links for adjuster review.

Agricultural Loss Adjuster

Parse agricultural parcel boundary GeoJSON geometries and claim event dates.

Search STAC catalogs for pre- and post-event multispectral Items.

Extract asset href links for red and near-infrared image bands.

Compile structured evidence dossiers containing imagery metadata and verified asset links.

Web dashboard with a map bounding-box selector and evidence manifest download button.

Query public STAC Item JSON records from open static catalogs using pystac; use local mock STAC metadata for offline development. Starter examples below are synthetic. They are not downloaded records.

STAC specification Extracts STAC Item GeoJSON features, temporal properties, and asset link references according to the STAC specification.

langgraph, pystac, shapely. LangGraph orchestrates the multi-step retrieval of temporal catalog items and validates spatial intersections for the evidence dossier. Reasoning model for extracting metadata and organizing structured claim imagery manifests.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Validates that the retrieved STAC Item geometry intersects the requested parcel bounding box.

Extracts valid asset href URLs matching the required multispectral bands.

Generates a compiled imagery evidence dossier with an explicit manual review flag.

```json [ { "input": { "claim_id": "CLM-FIRE-88", "bbox": [ -120.5, 38.2, -120.4, 38.3 ], "stac_item": { "id": "S2A_20230815", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ -120.6, 38.1 ], [ -120.3, 38.1 ], [ -120.3, 38.4 ], [ -120.6, 38.4 ], [ -120.6, 38.1 ] ] ] }, "assets": { "nir": { "href": "https://example.org/bands/B08.tif" } } } }, "expected_output": { "claim_id": "CLM-FIRE-88", "matched_item_id": "S2A_20230815", "evidence_status": "READY_FOR_ADJUSTER", "asset_url": "https://example.org/bands/B08.tif", "record_type": "simplified synthetic app record" } }, { "input": { "claim_id": "CLM-FIRE-89", "bbox": [ -120.5, 38.2, -120.4, 38.3 ], "stac_item": { "id": "S2A_EMPTY", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ 0, 0 ], [ 1, 0 ], [ 1, 1 ], [ 0, 1 ], [ 0, 0 ] ] ] }, "assets": {} } }, "expected_output": { "claim_id": "CLM-FIRE-89", "matched_item_id": null, "evidence_status": "NO_COVERAGE", "asset_url": null, "record_type": "simplified synthetic app record" } } ] ```

Creates audit packages containing imagery links for human adjuster verification; does not approve insurance payouts or assess final severity. Use mock external writes. Require human review before any real deployment.