Canopy Cooling

This algorithm estimates canopy cooling effect after treatment by analyzing thermal time-series response. It supports stress-mitigation evaluation and water-efficiency monitoring.

Input Data

Required inputs:

• Parcel geometry
• Product and application date
• Thermal and optical observations
• Optional weather normalization context

Statistical Method

The engine computes thermal anomalies, aligns treatment windows, and estimates adjusted cooling effect against expected baseline behavior.

Output Metrics

The service provides:

• Cooling effect score
• Thermal anomaly trend
• Treatment vs baseline differential
• Confidence and quality diagnostics