SIAC
Consistent surface reflectance across sensors, places, and time — calibrated with radiative transfer.
Δρ · 0.003RayX rebuilds the evidence chain from the pixel up — analysis-ready reflectance, interpretable crop state, and traceable yield risk.
Each layer is useful on its own — and stronger together. Every output links back to the pixel.
Consistent surface reflectance across sensors, places, and time — calibrated with radiative transfer.
Δρ · 0.003Crop state through the season — structure, chlorophyll, water status, phenology — grounded in physics.
LAI · 3.8Production signals and risk — earlier than the field, with the evidence preserved.
Coverage · 93%Every RayX output — reflectance, biophysical variable, yield signal — carries its evidence with it. That's how decisions hold up under scrutiny.
Every output links back to the signal it came from.
01One chain across Sentinel-2, Landsat, and commercial imagery.
02Context through the crop cycle — not isolated snapshots.
03Physics-grounded, auditable, and built for partners who need to show their work.
04Start anywhere in the chain — SIAC, ARC, or Yield. Add the rest when you're ready.
Analysis-ready reflectance — consistent across sensors, places, and time.
Crop state through the season — structure, vigour, water, phenology.
Earlier yield direction — with the chain of evidence behind every call.
Risk signals with an audit trail — defensible under review.
Clarity in every signal · Confidence in every decision
We'll help identify whether to start with SIAC, ARC, Yield — or the full chain. A pilot takes one region and one season.