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Challenge

Build a Wildfire Defensible Space STAC Asset Verifier

Inspect commercial real estate parcels against high-resolution STAC Item metadata and visual assets. Identify vegetation encroachment within defensible perimeter zones to formulate property adaptation plans.

Data ScienceHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Inspect commercial real estate parcels against high-resolution STAC Item metadata and visual assets. Identify vegetation encroachment within defensible perimeter zones to formulate property adaptation plans.

Wildfire Hazard Specialist

Load facility boundary GeoJSON and buffer zones at 30 and 100 feet.

Query a STAC catalog endpoint for post-dry-season multispectral imagery items.

Extract asset URLs and compute vegetative fuel cover within buffer zones.

Assemble a defensible space compliance report with prioritized mitigation tasks.

Web dashboard showing parcel aerial views overlaid with STAC bounding boxes and calculated buffer vegetation scores.

Query public Earth search STAC API (e.g., AWS Earth STAC) for Sentinel-2 or NAIP items, or load mock STAC Item JSON fixtures. Starter examples below are synthetic. They are not downloaded records.

STAC specification Parses STAC Item specifications including properties, assets, and bbox geometry structures defined in the STAC core schema.

pydantic-ai, shapely, rasterio. Pydantic AI enforces type-safe parsing of STAC Item JSON structures and validates structured compliance outputs. Fast hosted model or local Ollama instance capable of schema-constrained JSON extraction.

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.

Accurately constructs 30ft and 100ft buffer geometries around asset footprints.

Filters STAC Items by bounding box intersection and acquisition date.

Generates structured hazard ratings conforming to predefined fuel proximity categories.

```json [ { "input": { "_record_type": "simplified synthetic app record", "facility_id": "FAC-CA-889", "footprint": { "type": "Polygon", "coordinates": [ [ [ 0, 0 ], [ 0, 10 ], [ 10, 10 ], [ 10, 0 ], [ 0, 0 ] ] ] }, "stac_item": { "id": "NAIP-2022-CA-01", "type": "Feature", "bbox": [ -1, -1, 11, 11 ], "properties": { "datetime": "2022-08-15T00:00:00Z" }, "assets": { "visual": { "href": "https://example.com/item.tif" } } }, "canopy_cover_30ft": 0.45 }, "expected_output": { "facility_id": "FAC-CA-889", "defensible_space_compliant": false, "risk_tier": "HIGH_ENCROACHMENT", "recommended_action": "Clear canopy within 30ft zone" } }, { "input": { "_record_type": "simplified synthetic app record", "facility_id": "FAC-CA-890", "footprint": { "type": "Polygon", "coordinates": [ [ [ 0, 0 ], [ 0, 10 ], [ 10, 10 ], [ 10, 0 ], [ 0, 0 ] ] ] }, "stac_item": null, "canopy_cover_30ft": 0.05 }, "expected_output": { "facility_id": "FAC-CA-890", "defensible_space_compliant": true, "risk_tier": "DATA_DEFICIENT_LOW_CANOPY", "recommended_action": "Verify imagery availability" } } ] ```

Outputs are non-binding adaptation guidelines; users must verify physical clearance with local municipal fire marshals. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Outputs are non-binding adaptation guidelines; users must verify physical clearance with local municipal fire marshals. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Accurately constructs 30ft and 100ft buffer geometries around asset footprints. Filters STAC Items by bounding box intersection and acquisition date. Generates structured hazard ratings conforming to predefined fuel proximity categories.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Load facility boundary GeoJSON and buffer zones at 30 and 100 feet. Query a STAC catalog endpoint for post-dry-season multispectral imagery items. Extract asset URLs and compute vegetative fuel cover within buffer zones. Assemble a defensible space compliance report with prioritized mitigation tasks.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Accurately constructs 30ft and 100ft buffer geometries around asset footprints. Filters STAC Items by bounding box intersection and acquisition date. Generates structured hazard ratings conforming to predefined fuel proximity categories.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Web dashboard showing parcel aerial views overlaid with STAC bounding boxes and calculated buffer vegetation scores.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Outputs are non-binding adaptation guidelines; users must verify physical clearance with local municipal fire marshals.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Load facility boundary GeoJSON and buffer zones at 30 and 100 feet.

  • Query a STAC catalog endpoint for post-dry-season multispectral imagery items.

  • Extract asset URLs and compute vegetative fuel cover within buffer zones.

  • Assemble a defensible space compliance report with prioritized mitigation tasks.

Resources and assets

Reference links and supporting material

Dataset notes

Query public Earth search STAC API (e.g., AWS Earth STAC) for Sentinel-2 or NAIP items, or load mock STAC Item JSON fixtures. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Pydantic AI

Typed Python agent framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Load facility boundary GeoJSON and buffer zones at 30 and 100 feet. Query a STAC catalog endpoint for post-...
  • Accurately constructs 30ft and 100ft buffer geometries around asset footprints. Filters STAC Items by bound...
  • Web dashboard showing parcel aerial views overlaid with STAC bounding boxes and calculated buffer vegetatio...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Pydantic AI · Optional
Orchestration
  • Pydantic AI · Optional

Evaluation contract

  • Complete workflow · Weight 40
  • Correctness and evidence · Weight 30
  • Review interface · Weight 20
  • Safe execution · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Wildfire Defensible Space STAC Asset Verifier