Soil Carbon MRV

Combine satellite optical, C-band SAR, and drone sampling to deliver precise soil carbon measurement, reporting, and verification for carbon credit programs.

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How does it work?

Current soil carbon MRV processes rely on limited field sampling and disparate data, leading to estimation errors and reporting inefficiencies. Combining satellite optical, C-band SAR, and low-cost drone sampling ensures comprehensive spatial coverage and high-resolution insights for accurate carbon credit measurement, reporting, and verification.

Comprehensive Coverage: Satellite optical and C-band SAR provide broad-area monitoring, capturing spatial variability across large landscapes. Drone sampling fills local gaps with high-detail observations for robust soil carbon mapping.
High Resolution: Drone-based surveys deliver centimeter-scale soil data, enhancing local accuracy and trend detection. This resolution strengthens modeling and validates remote sensing outputs effectively.
Cost Efficiency: Low-cost drones reduce field survey expenses compared to extensive ground campaigns. Automated data fusion with satellite imagery minimizes manual processing and operational costs.
Enhanced Accuracy: Multisource integration corrects for sensor-specific limitations, improving soil carbon estimation. Cross-validating optical, SAR, and in-situ data ensures confidence in carbon stock calculations.
Scalable Processing: Automated workflows process terabytes of satellite and drone data across regions. Cloud-based analytics enable rapid scaling from pilot sites to national MRV programs.
Regulatory Compliance: Aligned with IPCC guidelines and carbon standard protocols for MRV. Detailed audit trails and georeferenced data support transparent reporting to regulators and auditors.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this MRV approach compare to traditional soil sampling?: Traditional methods rely on sparse, labor-intensive sampling, limiting spatial resolution. Our integrated solution combines remote sensing and drone data for continuous coverage and higher accuracy.
Why is C-band SAR popular in soil carbon monitoring?: C-band SAR penetrates vegetation and is insensitive to cloud cover, offering reliable backscatter data for soil structure analysis. Its regular revisit frequency and all-weather capability make it a preferred choice for consistent carbon monitoring.
What are the limitations of satellite optical alone?: Optical sensors are hindered by cloud cover and only capture surface reflectance, missing subsurface carbon signals. Integrating SAR and drone sampling compensates for these gaps and improves temporal reliability.
Can I use drones as an alternative to satellite data?: Drones provide high-resolution, localized data but lack large-area coverage and consistent revisit cycles. Combining drones with satellites balances detail and breadth for comprehensive MRV.
How does data fusion handle inconsistent resolutions?: Advanced algorithms resample and harmonize data to a common grid, preserving critical spectral and backscatter features. Multiscale modeling techniques reconcile differences, ensuring seamless integration across sources.
Is this system compatible with existing MRV frameworks?: Yes, the platform outputs standard-compliant reports and geospatial data layers. It integrates with popular carbon registry APIs and GIS tools for streamlined reporting and verification.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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