Build a STAC Agricultural Drought Image Retriever
Process public STAC earth observation collections to discover imagery over agricultural acreage. Compile optical asset links matching temporal and cloud constraints to enable downstream calculation of vegetative drought anomalies.
What you are building
The core problem, expected build, and operating context for this challenge.
Process public STAC earth observation collections to discover imagery over agricultural acreage. Compile optical asset links matching temporal and cloud constraints to enable downstream calculation of vegetative drought anomalies.
Crop Insurance Portfolio Analyst
Incorporate field polygon coordinates and historic baseline metadata for target agricultural regions.
Query STAC collections for items representing optical surface reflectance imagery over the targeted fields.
Filter and extract STAC asset links matching strict cloud cover limits and temporal windows.
Compile organized image retrieval dossiers to feed downstream agronomic raster processing pipelines.
Command-line interface producing structured JSON dossiers and simple map plots of STAC item footprints.
Query public Earth Search STAC APIs or download mock STAC Item JSON records from Radiant Earth examples. Starter examples below are synthetic. They are not downloaded records.
STAC specification Applies STAC standard query parameters for spatial-temporal extents and parses STAC Item properties to extract asset links.
llamaindex, pystac, geopandas. LlamaIndex manages the orchestration of metadata retrieval, filtering conditions, and structuring the final asset link dossiers. Hosted or local LLM for structuring parameter extraction and formatting final JSON dossiers.
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.
Correctly queries a STAC API utilizing spatial bounding boxes and target temporal windows.
Filters and discards STAC Items that exceed the specified cloud cover threshold.
Generates a valid JSON dossier populated with direct optical asset links for downstream consumption.
```json [ { "input": { "field_id": "FIELD-SOY-99", "target_month": "2023-07", "max_cloud_cover_pct": 20 }, "expected_output": { "field_id": "FIELD-SOY-99", "discovered_items": 2, "asset_links": [ "https://example.stac/item1/B04.tif", "https://example.stac/item2/B04.tif" ], "dossier_status": "READY" } }, { "input": { "field_id": "FIELD-SOY-100", "target_month": "2023-08", "max_cloud_cover_pct": 10 }, "expected_output": { "field_id": "FIELD-SOY-100", "discovered_items": 0, "asset_links": [], "dossier_status": "NO_CLEAR_IMAGERY" } } ] ```
Retrieves image links for discovery purposes only; does not calculate agronomic losses or automate crop insurance claims. Use mock external writes. Require human review before any real deployment.
Participation guide
Retrieves image links for discovery purposes only; does not calculate agronomic losses or automate crop insurance claims. Use mock external writes and human review.
How work is evaluated
Correctly queries a STAC API utilizing spatial bounding boxes and target temporal windows. Filters and discards STAC Items that exceed the specified cloud cover threshold. Generates a valid JSON dossier populated with direct optical asset links for downstream consumption.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Incorporate field polygon coordinates and historic baseline metadata for target agricultural regions. Query STAC collections for items representing optical surface reflectance imagery over the targeted fields. Filter and extract STAC asset links matching strict cloud cover limits and temporal windows. Compile organized image retrieval dossiers to feed downstream agronomic raster processing pipelines.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Correctly queries a STAC API utilizing spatial bounding boxes and target temporal windows. Filters and discards STAC Items that exceed the specified cloud cover threshold. Generates a valid JSON dossier populated with direct optical asset links for downstream consumption.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Command-line interface producing structured JSON dossiers and simple map plots of STAC item footprints.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Retrieves image links for discovery purposes only; does not calculate agronomic losses or automate crop insurance claims.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Incorporate field polygon coordinates and historic baseline metadata for target agricultural regions.
Query STAC collections for items representing optical surface reflectance imagery over the targeted fields.
Filter and extract STAC asset links matching strict cloud cover limits and temporal windows.
Compile organized image retrieval dossiers to feed downstream agronomic raster processing pipelines.
Reference links and supporting material
Query public Earth Search STAC APIs or download mock STAC Item JSON records from Radiant Earth examples. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
LlamaIndex
Data framework for LLM applications
Evaluated output
No output checks are configured.
- Incorporate field polygon coordinates and historic baseline metadata for target agricultural regions. Query...
- Correctly queries a STAC API utilizing spatial bounding boxes and target temporal windows. Filters and disc...
- Command-line interface producing structured JSON dossiers and simple map plots of STAC item footprints.
- 2 public reference cases
- 1 configured tool
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
- LlamaIndex · 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.