Volume & Biomass

AI-driven lidar and satellite imagery analysis delivers accurate timber volume and biomass estimates for sustainable forest management and carbon accounting.

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How does it work?

Conventional forest inventory methods rely on time-consuming manual surveys and sample plots, leading to incomplete coverage and infrequent updates. AI-powered geospatial analytics automate volume and biomass estimation across large areas, improving accuracy and timeliness for management and reporting.

High-Resolution Mapping: AI algorithms process lidar and multispectral imagery to create detailed volume and biomass maps at the plot level. This high spatial resolution enables precise thinning and harvesting decisions, minimizing waste.
Frequent Updates: Automated processing pipelines can deliver updated metrics weekly or after new flights. This frequency supports dynamic planning and rapid response to growth or disturbance events.
Reduced Field Costs: Remote sensing replaces extensive ground measurements, cutting labor and travel expenses by up to 60%. Budget savings can be reallocated to silvicultural treatments and conservation efforts.
Carbon Insights: Accurate biomass estimates feed into carbon stock calculations for reporting and trading. This transparency supports compliance with carbon credits and sustainability certifications.
Large-Scale Coverage: The platform scales from individual stands to regional forests, handling petabytes of imagery data. Forest managers gain consistent metrics across diverse terrain without manual sampling bias.
Data Integration: Results integrate with GIS, ERP, and forest management systems via standard APIs. This interoperability streamlines reporting and supports custom dashboards.

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 compare to traditional field surveys?: Traditional surveys use sample plots and manual measurements, which can be time-consuming and spatially limited. Our AI-based approach covers entire forest areas with consistent accuracy, reducing survey time and human error.
Why is remote sensing more popular than manual inventory?: Remote sensing scales easily across large and inaccessible areas, offering more frequent updates and lower costs. Its popularity stems from improved data granularity and faster decision cycles.
What are the limitations of biomass estimation using satellite data?: Satellite imagery may struggle in dense canopies or under cloud cover, leading to occlusions and reduced accuracy. Combining satellite data with lidar or radar can mitigate these issues.
Can drones replace airborne lidar for precise volume estimation?: High-resolution drone lidar can deliver detailed point clouds for small stands, but has limited range and requires frequent flights. Airborne lidar covers larger areas more efficiently, making it suitable for regional assessments.
How does the solution integrate with existing GIS software?: Our platform exports standard GIS-compatible formats like GeoTIFF and shapefiles through APIs. You can directly import the processed layers into tools like ArcGIS, QGIS, and ERP systems.
What alternatives exist for biomass estimation, and when should they be used?: Alternatives include purely field-based allometric models, which are accurate but labor-intensive, and SAR-based methods, which work better in cloudy regions. Choose field surveys for stand-level audits and SAR when optical data is limited.

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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