Methodology

Greenwing’s proprietary value rests in the processing: mapped agricultural zones, historical baselines, agronomic interpretation, and review discipline applied before a signal is reported. Public Earth-observation data, including ESA Sentinel satellite measurements, provides the recurring physical input.

Zone Mapping

From geography to map

Greenwing maps agricultural regions into proprietary analytical zones. Each zone is tied to crop distribution, seasonal calendar, hydrology, and its role within the wider production system.

Observation

From map to raw data

Greenwing observes mapped zones through recurring multispectral satellite measurements. Each pass produces multiple physical readings of crop and land condition, with obscured or unreliable readings removed before interpretation.

Historical Baseline

From raw data to departures

Greenwing compares each observation against the zone’s own multi-year, calendar-matched historical record. This produces normalized departures from expected seasonal conditions.

Agronomic Interpretation

From departures to score

Greenwing interprets departures in agronomic context, including severity, persistence, timing, crop sensitivity, and related zone behavior. Scores rise only on affirmative evidence.

Intelligence Output

From score to alert

Greenwing converts scored anomalies into legible alerts that identify the affected location, crop, condition, severity, confidence, and supporting observation cycle.