Canopy Growth

This algorithm evaluates canopy growth dynamics after agronomic treatment applications. It is designed to support product performance validation by quantifying canopy expansion trends before and after treatment at parcel level.

Input Data

The model processes georeferenced agronomic context:

• Parcel geometry (polygon or parcel ID)
• Product identifier and application metadata
• Application date and optional dosage
• Multi-date satellite observations

Statistical Method

The workflow builds pre/post comparison windows, applies temporal smoothing, and estimates treatment effect using baseline-adjusted growth trajectories.

Output Metrics

The service returns structured statistical outputs:

• Weekly canopy growth delta
• Relative uplift score vs baseline
• Confidence band by observation density
• Data quality flags and anomaly notes