Soil organic carbon estimation

Establish verifiable soil organic carbon (SOC) baselines with 90%+ accuracy while cutting your follow-up soil sampling costs by nearly half.

digital solution for SOC estimation by EOS RayVision

How SOC estimation by EOS RayVision supports your projects

SOC baseline mapping with digital MRV

Core benefit:

Accelerate project registration with precise baselines based on 140+ predictors.

Smart soil stratification

Core benefit:

Enable standard-ready projects through satellite-driven land stratification.

Verified sequestration reporting

Core benefit:

Support audits with evidence-backed reports for stakeholders and VVBs.

Supply chain Scope 3 assessment

Core benefit:

Measure soil health and carbon stocks across large-scale agri supply chains.

SOC estimation outputs delivered in formats you need

original datasets for SOC estimation

Original data layers

Receive GEOJSON / KML / SHP datasets and upload them wherever you want.

SOC distribution report by EOS RayVision

Decision-ready PDF report

Actionable report summarizing key findings for rapid response and easy sharing.

smart SOC distribution map

Interactive smart map

Cloud-based interactive map with 3D view for clear visualization and spatial analysis.

Typical project stages

1

Defining AOI, requirements, and KPIs

2

Selecting optimal imagery (optical, SAR, or hybrid)

3

Running baseline mapping and ML change detection

4

Validating, enriching, and prioritizing insights

5

Delivering data layers, a report, and a smart map on schedule

Why global leaders choose EOS RayVision

Intelligence, not raw data

Get ready-to-use insights, not just raw layers, to make decisions on the fly.

Multi-sensor monitoring

Never miss critical changes thanks to smart optical and SAR coverage of 20+ constellations.

Global scale, fast rollout

Deploy quickly across regions to standardize monitoring and save time.

Flexible delivery and visualization

Access data in the way that fits your workflow: GIS layers, PDF reports, or 3D interactive maps.

Reusable ML/AI models

Get consistent, accurate detection across assets through proven ML/AI models.

End-to-end expert implementation

In-house science and GIS teams handle the full process for reliable results every time.

FAQ

You can expect 85–93% estimation accuracy when satellite data is combined with ground measurements. Our integrated modeling approach requires significantly fewer soil samples than traditional ground-only sampling while maintaining reliable results.

You can reduce the number of required physical soil samples by up to 90% for follow-up sampling cycles by applying EOS RayVision's satellite-based soil stratification.

Are your estimation reports accepted by carbon credit registries?

We provide digital modeling and analytics rather than physical sampling services. However, we can connect you with trusted laboratory and soil sampling partners.

A comprehensive baseline SOC report by EOS RayVision is typically delivered within one month, significantly faster than with traditional assessment approaches.

We require your Area of Interest (AOI) and field management information you can provide, such as crop rotations, fertilizer use, and farming activities.

Yes, our models support SOC estimation for both topsoil (0–30 cm) and deeper soil layers (30–100 cm) based on your project needs.