Carbon Stock Map

Precise biomass mapping and carbon quantification streamline validation of forest-based carbon credits for compliance and voluntary markets.

Request a demo

How does it work?

Traditional field surveys for forest carbon stocks are labor-intensive, time-consuming, and prone to sampling errors. AI-driven remote sensing and machine learning enable accurate, scalable biomass estimation across large areas, accelerating credit validation and reporting.

High-Resolution Biomass Maps: AI models analyze satellite and drone imagery to generate biomass estimates at sub-hectare resolution. This level of detail supports precise carbon accounting and tracking of changes over time.
Scalable Area Coverage: Automated processing handles thousands of square kilometers in hours. This scalability outperforms manual surveys and reduces project timelines and costs.
Automated Change Detection: Continuous monitoring identifies deforestation or growth trends through temporal analytics. Rapid detection supports timely interventions and credit adjustments.
Uncertainty Quantification: The platform provides error margins and confidence metrics for carbon estimates. Transparent uncertainty helps satisfy verification standards and builds stakeholder trust.
Regulatory Compliance: Outputs align with IPCC guidelines, MRV protocols, and major carbon standards like VCS and CDM. Preformatted reports accelerate validation for both voluntary and compliance markets.
Seamless System Integration: API and GIS-compatible outputs integrate with existing forest management and carbon registry systems. This ensures a streamlined workflow from data ingestion to final reporting.

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 AI-based carbon estimation compare to traditional field surveys?: AI-driven models use remote sensing to cover vast areas quickly with consistent accuracy, reducing manual labor and sampling bias. Field surveys remain important for calibration and serve as ground truth to improve model precision.
Why is this approach popular for carbon credit projects?: It offers scalable, repeatable measurements that meet strict compliance protocols while reducing project costs. Many developers adopt it to accelerate verification timelines and expand access to voluntary and compliance markets.
What are the limitations of satellite-based biomass estimates?: Satellite sensors may struggle under dense canopy or persistent cloud cover, affecting data continuity and resolution. Combining multispectral, SAR, and occasional ground surveys helps mitigate these gaps and improve accuracy.
Can I use drone imagery instead of satellites?: Yes, high-resolution drone data enhances sub-plot level assessments and refines biomass models for smaller areas. The platform seamlessly integrates both drone and satellite inputs to optimize scale and detail.
How does this solution align with IPCC and MRV protocols?: The platform’s algorithms and reporting templates follow IPCC guidelines and widely recognized MRV frameworks like CDM, VCS, and CAR. This ensures outputs are audit-ready and accepted by major certification bodies.
Are there alternatives to AI-based carbon assessment?: Alternatives include LiDAR surveys and allometric equations applied to field measurements, which offer high precision but at higher cost and limited scalability. AI methods complement these by providing broader spatial coverage and cost efficiency.

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.

Request a demo