Technical Framework
Greenwing’s technical framework defines the basis of its agricultural intelligence.
It sets out the methods, coverage principles, and observation practices applied across the system.
Methodology
Greenwing’s proprietary value rests in mapped zones, historical baselines, ingestion, agronomic analysis, and disciplined alert review.
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.
Greenwing does not track field ownership or private farm boundaries.
Greenwing compares each observation against the zone’s multi-year, calendar-matched historical record to produce normalized departures from expected conditions. This process runs continuously and autonomously.
Greenwing does not use weather forecasting or other predictions.
Greenwing observes mapped zones through recurring multispectral optical and synthetic-aperture radar satellite measurements. Unreliable readings are excluded before interpretation.
Greenwing does not use on-ground sensors or human field scouting.
Greenwing continuously calculates the variance between current observations and historical baselines. Scores change only with affirmative evidence.
Greenwing does not generate advisory services or input prescriptions.
Greenwing converts scored anomalies into alerts that identify the location, crop, condition, severity, confidence, and supporting observation cycle.
Greenwing does not issue Agricultural Intelligence Alerts without human interrogation of the underlying data signals.
Coverage
Greenwing establishes coverage according to analytical purpose, agricultural significance, and measurement reliability.
Greenwing prioritizes crops and regions where reliable agricultural intelligence is delayed or fractured. Its observation is directed where objective evidence can add meaningful value. Coverage selection forms part of Greenwing’s analytical process.
Greenwing prioritizes crops and regions not already receiving extensive monitoring from other reliable institutions.
Greenwing focuses on crops and regions of agricultural significance. This reflects food security, national agricultural importance, global economic consequence, and supply concentration. It can arise from vulnerability as much as scale.
Greenwing provides agricultural intelligence. It doesn’t model markets. Its intelligence can inform those who do.
Greenwing establishes coverage only where available observations can support a defensible crop-specific agricultural assessment. Once established, Greenwing constructs its own coverage parcels, tracing crop-producing areas to fit the observed production footprint.
Greenwing excludes crops physically obscured from satellite observation.
Greenwing expands coverage through planned additions. Coverage can also expand when environmental shocks create an immediate need for objective observation of new crops and regions. New coverage enters the same analytical and review framework as Greenwing’s existing observation systems.
Greenwing’s crop and land coverage is not static.
Observation
Geospatial observation sits at the center of Greenwing’s analytical system.
Greenwing follows formal methods for spectral measurement, data conditioning, and spatial resolution.
Greenwing emphasizes near-infrared, red-edge, shortwave-infrared, and microwave measurements that reveal agriculturally relevant characteristics beyond the range of the human eye. Its analysis spans wavelengths from approximately 490 to 1,610 nanometres. Radar at 5.405 gigahertz provides an independent measurement of the observed surface. Optical and radar measurements provide complementary evidence across different properties of the observed surface.
Greenwing does not limit agricultural observation to the visible light spectrum.
Greenwing-built algorithms clean and condition ingested satellite data. The process corrects atmospheric effects, masks cloud contamination, and normalizes spectral data. This automated process supports accuracy and determinism while safeguarding operational independence. Conditioning precedes interpretation so that subsequent analysis begins from qualified measurements.
Greenwing is not bound to a specific satellite provider. Its conditioning systems are architected to ingest compatible geospatial data from alternative satellite providers.
Greenwing’s observation foundation is one-hectare resolution: 100 × 100 metres. Its assessments are built upward from that unit. Each hectare remains a discrete analytical unit before aggregation across larger production regions. One-hectare granularity remains constant as Greenwing scales across larger geographic regions, preserving assessment fidelity.
Greenwing does not reduce spatial resolution as geographic scope increases.
Limitations
Greenwing operates within scientific and technical limitations.
Greenwing is best understood when those limitations are understood.
Greenwing does not establish the interval between observations of the exact same hectare of Earth. That interval is determined by the orbital configuration of the satellites around the globe. Greenwing uses satellites placed in sun synchronous Earth orbit. They travel at roughly 27,000 kilometres per hour and circle the globe approximately 14 times in 24 hours. At that speed and orbital position, roughly 120 hours will pass before the satellites return over the exact same hectare of Earth.
Greenwing’s refresh interval is a function of the laws of orbital physics.
Greenwing cannot evaluate land when reliable measurement is unavailable. Cloud cover and atmospheric material can obstruct optical observation. Larger vegetation can partly obscure lower growing crops. Indoor cultivation can prevent satellite observation altogether. When sufficient reliable measurements are unavailable, Greenwing does not assess the affected land for that observation cycle.
Every Greenwing Agricultural Intelligence Alert identifies the percentage of relevant land successfully observed for the assessment.
Greenwing cannot isolate conditions below its one-hectare analytical resolution. Each Greenwing measurement represents an area of 100 × 100 metres. In fragmented or smallholder agricultural systems, a single hectare can contain more than one crop, fallow ground, paths, structures, or other land cover. The resulting measurement can therefore reflect more than one physical surface within the same hectare.
Greenwing interprets hectare-level measurements in the context of the agricultural system around them.