EOSDA Carbon is a model-as-a-service platform designed to streamline soil organic carbon (SOC) estimation and carbon project monitoring. Powered by satellite data, AI/ML modeling, and domain expertise, it enables scalable, precise, and cost-effective carbon credit generation. The platform supports digital MRV (Monitoring, Reporting, and Verification), SOC baselines, and long-term forecasts, reducing the need for extensive field sampling and accelerating project timelines.

Features

• Digital MRV & SOC Modeling: Combines satellite imagery, machine learning, and scientific modeling to deliver accurate SOC estimates and carbon sequestration forecasts.
• Stratification & Land Zoning: Satellite-driven land classification and zoning for optimized soil sampling and carbon credit potential.
• SOC Baseline Generation: Delivers comprehensive SOC baselines within ~1.5 months for strategic planning.
• Carbon Stock Forecasting: Simulates sequestration under various land use scenarios with up to 20-year projections.
• Reduced Field Sampling: Cuts physical sampling needs by up to 90%, lowering costs and logistical complexity.
• Project Design Tools: Includes field boundary detection, crop data analysis, and scenario modeling.
• Satellite Monitoring: Enables ongoing project tracking and compliance with carbon certification standards.
• Verification & Reporting: Supports stakeholder communication and regulatory reporting with clear, actionable insights.
• Custom Roadmaps & Pilots: Offers tailored project plans and low-risk proof-of-concept trials.

Benefits

• High Accuracy: Achieves 85–93% SOC estimation accuracy using remote sensing and modeling.
• Cost Efficiency: Reduces sampling costs and labor requirements, making carbon projects more scalable.
• Fast Deployment: First model results available in weeks; full baseline ready in ~1.5 months.
• Scalable Monitoring: Supports large-scale carbon projects with satellite-based tracking and analytics.
• Improved Carbon Credit Returns: Optimizes land use scenarios to maximize carbon credit generation.
• Compliance Support: Facilitates reporting and verification aligned with global carbon standards.
• Proven in Practice: Used by AgriProve (Australia) and validated in research presented at ESA Symposium 2024.