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Challenge

Build a STAC Wildfire Smoke Exposure Agricultural Auditor

Discover atmospheric optical depth assets from STAC catalogs to evaluate crop smoke taint. Download data to quantify seasonal viticulture exposure and assemble structured crop loss evidence dossiers for adjusters.

Data ScienceHosted by Vera
Challenge brief

What you are building

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

Discover atmospheric optical depth assets from STAC catalogs to evaluate crop smoke taint. Download data to quantify seasonal viticulture exposure and assemble structured crop loss evidence dossiers for adjusters.

Viticulture Hazard Analyst

Retrieve STAC Items for aerosol optical depth over vineyard perimeter coordinates and fetch assets.

Filter cloud interference in the imagery and calculate cumulative smoke plume duration days.

Overlay smoke intensity against grape ripening phenology schedules.

Assemble structured crop loss evidence dossiers for forensic agricultural adjusters.

Vineyard map portal displaying plume density overlays, cumulative smoke days, and adjuster evidence dossiers.

Query public atmospheric aerosol STAC collections. Store mock vineyard parcel boundaries in GeoJSON format. Starter examples below are synthetic. They are not downloaded records.

STAC specification Adheres to STAC Collection and Item specifications to search temporal atmospheric imagery and evaluate asset links.

vercel-ai-sdk, pystac, TypeScript. Powers a responsive Next.js frontend and streaming agent interface for exploring spatial aerosol exposure data. Requires modern TypeScript runtime running Vercel AI SDK connected to an instruction-tuned LLM provider.

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.

Parses STAC Item temporal properties and fetches asset links across designated vineyard coordinates.

Calculates cumulative aerosol optical depth exposure across ripening windows.

Streams structured claim preparation summaries conforming to Pydantic/Zod schemas.

```json [ { "input": { "vineyard_id": "VNYD-NAPA-22", "cumulative_smoke_days": 14, "mean_aerosol_optical_depth": 1.5 }, "expected_output": { "vineyard_id": "VNYD-NAPA-22", "exposure_score": 21, "claim_investigation_required": true, "record_type": "simplified synthetic app record, not complete official schema file" } }, { "input": { "vineyard_id": "VNYD-NAPA-23", "cumulative_smoke_days": 4, "mean_aerosol_optical_depth": 0.5 }, "expected_output": { "vineyard_id": "VNYD-NAPA-23", "exposure_score": 2, "claim_investigation_required": false, "record_type": "simplified synthetic app record, not complete official schema file" } } ] ```

Assembles simulated risk assessment documentation; does not render chemical laboratory verdicts or binding insurance claims. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Assembles simulated risk assessment documentation; does not render chemical laboratory verdicts or binding insurance claims. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Parses STAC Item temporal properties and fetches asset links across designated vineyard coordinates. Calculates cumulative aerosol optical depth exposure across ripening windows. Streams structured claim preparation summaries conforming to Pydantic/Zod schemas.

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

Retrieve STAC Items for aerosol optical depth over vineyard perimeter coordinates and fetch assets. Filter cloud interference in the imagery and calculate cumulative smoke plume duration days. Overlay smoke intensity against grape ripening phenology schedules. Assemble structured crop loss evidence dossiers for forensic agricultural adjusters.

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

Parses STAC Item temporal properties and fetches asset links across designated vineyard coordinates. Calculates cumulative aerosol optical depth exposure across ripening windows. Streams structured claim preparation summaries conforming to Pydantic/Zod schemas.

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

Vineyard map portal displaying plume density overlays, cumulative smoke days, and adjuster evidence dossiers.

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

Assembles simulated risk assessment documentation; does not render chemical laboratory verdicts or binding insurance claims.

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

  • Retrieve STAC Items for aerosol optical depth over vineyard perimeter coordinates and fetch assets.

  • Filter cloud interference in the imagery and calculate cumulative smoke plume duration days.

  • Overlay smoke intensity against grape ripening phenology schedules.

  • Assemble structured crop loss evidence dossiers for forensic agricultural adjusters.

Resources and assets

Reference links and supporting material

Dataset notes

Query public atmospheric aerosol STAC collections. Store mock vineyard parcel boundaries in GeoJSON format. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Vercel AI SDK

TypeScript toolkit for AI apps.

Evaluated output

No output checks are configured.

Evaluation checks
  • Retrieve STAC Items for aerosol optical depth over vineyard perimeter coordinates and fetch assets. Filter...
  • Parses STAC Item temporal properties and fetches asset links across designated vineyard coordinates. Calcul...
  • Vineyard map portal displaying plume density overlays, cumulative smoke days, and adjuster evidence dossiers.
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
  • Vercel AI SDK · Optional
Orchestration
  • Vercel AI SDK · 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 STAC Wildfire Smoke Exposure Agricultural Auditor