---

name: crop-condition-monitor description: Assess crop health from NDVI time series. Use when the user wants to analyze changes, detect hazards, or generate assessment reports.

Crop Condition Monitor

Assess crop health from NDVI time series.

CLI Usage

python scripts/crop_condition_monitor.py --ndvi ndvi1.tif ndvi2.tif ndvi3.tif
python scripts/crop_condition_monitor.py --ndvi ndvi1.tif ndvi2.tif --dates 2024-04-01,2024-05-01
python scripts/crop_condition_monitor.py --ndvi ndvi1.tif ndvi2.tif --output-dir my_output

Parameters

Argument	Required	Default	Description
--ndvi	Yes	—	One or more NDVI rasters (chronological order, same grid)
--dates	No	—	Optional comma-separated acquisition dates matching --ndvi files (ISO YYYY-MM-DD)
--output-dir, -o	No	crop-output	Directory to write outputs

Output

File	Description
crop-report.json	Machine-readable crop condition stats (mean NDVI, anomaly area)
report.html	Human-readable HTML report
output-manifest.json	Run metadata + result summary

Exit Codes

Code	Meaning
0	Success
2	Argument error
7	Processing failure

Data Download

When --bbox (or --aoi-file) and --date-range are provided, this skill auto-downloads a small set of Sentinel-2 L2A (sentinel-2-l2a) visual previews from the Microsoft Planetary Computer STAC catalog (no API key required) and uses them as the multi-temporal NDVI stack.

The downloaded files are written to <output_dir>/downloaded/ and the downstream monitor_crop analysis runs on them. The output-manifest.json records data_source / collection / bbox / date_range / fetched_at for traceability.

python scripts/crop_condition_monitor.py \
  --bbox 116.4,39.6,116.6,39.8 \
  --date-range 2024-06-01,2024-06-30 \
  --output-dir my_output