Satellite data, actually usable

RAYX turns
light into insight.

Analysis-ready satellite data for agriculture, food security, and land monitoring — powered by radiative transfer, sensor-invariant atmospheric correction, and hyperspectral analytics.

Talk to us Explore the tech

A physics-first EO layer for teams who want reliable inputs—not surprises.

Sentinel-2 Hyperspectral Radiative transfer Atmospheric correction
Demo concept

Radiance → Surface Reflectance

RAYX ingests multi-sensor imagery, applies SIAC-style atmospheric correction and outputs harmonised, uncertainty-aware surface reflectance.

Sensors Sentinel-2, Landsat, hyperspectral
Outputs SR, albedo, biophysical variables
Use cases Crops, food security, land & climate
  1. Sensor
    Raw radiance

    Top-of-atmosphere measurements (L1/TOA) from multiple missions.

  2. Atmosphere
    Scattering & absorption

    Aerosols, water vapour and gases shape what the sensor sees.

  3. Radiative transfer
    Physics correction

    Forward model + inversion solves aerosols/BRDF and propagates uncertainty.

  4. Output
    Surface reflectance

    Harmonised SR/albedo, ready for crop, land and climate analytics.

What RAYX does

We sit between raw satellite data and your models, so you never have to worry about atmospheric correction, cross-sensor harmonisation or radiative-transfer details again.

Analysis-ready data

RAYX delivers atmospherically corrected, cloud-screened, sensor-invariant products — ready for crop models, yield forecasting, and land-use analytics.

Physics-aware processing

We use radiative transfer, SIAC-style atmospheric correction and hyperspectral techniques to keep your inputs physically meaningful, not just statistically convenient.

Multi-sensor, multi-scale

From Sentinel-2 to next-generation hyperspectral sensors, RAYX harmonises data across time, space and sensor, so you can build robust, long-term applications.

The RAYX pipeline

A modular, physics-based chain for taking satellite light all the way to biophysical variables and decision-ready indicators.

1. Ingest & QA

Multi-mission satellite data (e.g. Sentinel-2) ingested, quality-flagged and co-registered with meteorological and ancillary datasets.

2. Atmospheric correction

Sensor-invariant atmospheric correction with radiative transfer under the hood: aerosol, water vapour and BRDF effects accounted for, not ignored.

3. Harmonisation

Spectral and spatial harmonisation across sensors and over time, producing stable surface reflectance archives for downstream analytics.

4. Biophysical retrievals

Retrieval of crop and vegetation variables (LAI, fAPAR, biomass proxies) and other land indicators relevant to food security and climate applications.

5. Delivery & integration

Products delivered via simple APIs or object storage, ready to plug into your modelling, dashboards or decision workflows.

Where RAYX is used

Same physics-based core, tailored for different sectors that depend on reliable Earth observation.

Agriculture & food security

Monitor crop condition, stress and yield risk from field to region. Support early-warning systems, input optimisation and food-security assessments.

Land & ecosystems

Track vegetation dynamics, land degradation and restoration outcomes with consistent, long-term surface reflectance and biophysical indicators.

Climate & risk analytics

Feed climate-risk models, insurance products and ESG reporting with harmonised, physically grounded EO inputs rather than ad-hoc composites.

About RAYX

RAYX is built around a simple idea: satellite light is rich, but messy. Turning it into something trustworthy takes atmospheric correction, radiative transfer and careful harmonisation — not just another black-box model.

We bring together experience in Earth observation, radiative transfer modelling, hyperspectral analysis and food-security applications to create a stable foundation layer for anyone building on satellite data.

Focus areas

  • Analysis-ready satellite data (ARD) pipelines
  • Sensor-invariant atmospheric correction (SIAC-style)
  • Sentinel-2 and hyperspectral missions
  • Crop and vegetation biophysical retrievals
  • Food-security and climate-risk use cases

Let’s talk

Whether you're building an EO product, a food-security system or a research pipeline, RAYX can be the layer that makes satellite light reliable.

Drop us a message with a few lines about your use case, and we’ll get back to you.

Email hello@rayx.co.uk

Custom integrations, collaborations and pilot projects welcome.