Build a STAC Agricultural Drought Vegetative Loss Assessor

Quantify vegetation stress over commercial crop fields using multi-temporal STAC Catalog items. Compute vegetation anomaly percentiles across the growing season to assist in agricultural claim evidence preparation.

Agricultural Claims Investigator

Ingest field parcel boundaries and historical normal NDVI reference curves.

Query STAC API for Sentinel-2 cloud-free Item collections over the target growing cycle.

Calculate parcel-level average NDVI and compute seasonal biomass deficit percentages.

Assemble an objective crop loss claim evidence report with direct STAC asset links.

Web interface displaying parcel NDVI time-series charts alongside thumbnails retrieved from STAC assets.

Access public STAC APIs for Sentinel-2 COGs (e.g., Earth Search) or load local mock STAC collection directories. Starter examples below are synthetic. They are not downloaded records.

STAC specification Interrogates STAC Item collections, bounding boxes, and asset links for multispectral bands as specified in STAC standard.

anthropic-claude, pystac-client, rasterio. Claude analyzes complex multi-temporal vegetation anomaly trends and synthesizes objective, structured claim evidence memos. Hosted Claude API for expert-level interpretation and structured summarization of seasonal crop vigor curves.

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.

Queries STAC Items matching parcel geometry and seasonal date range.

Calculates mean NDVI deficit compared to baseline expected reference value.

Formats output containing all parent STAC Collection IDs and asset hrefs.

```json [ { "input": { "_record_type": "simplified synthetic app record", "parcel_id": "PARCEL-KS-771", "crop_type": "Winter Wheat", "baseline_ndvi": 0.72, "stac_observations": [ { "item_id": "S2A_20230501", "mean_ndvi": 0.45 }, { "item_id": "S2A_20230515", "mean_ndvi": 0.42 } ] }, "expected_output": { "parcel_id": "PARCEL-KS-771", "mean_observed_ndvi": 0.435, "deficit_percentage": 39.58, "loss_evidence_grade": "SUBSTANTIAL_ANOMALY" } }, { "input": { "_record_type": "simplified synthetic app record", "parcel_id": "PARCEL-KS-772", "crop_type": "Winter Wheat", "baseline_ndvi": 0.7, "stac_observations": [] }, "expected_output": { "parcel_id": "PARCEL-KS-772", "mean_observed_ndvi": null, "deficit_percentage": null, "loss_evidence_grade": "NO_OBSERVATIONS" } } ] ```

Vegetative deficit reports are evidence preparation materials and do not constitute formal adjuster appraisal or claim settlement. Use mock external writes. Require human review before any real deployment.