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Canopy Structure Analysis & Biomass Estimation

We provide detailed 3D forest structure analysis using LiDAR data from our AIMS Multi-Modal Aerial Survey System and Farsight™ UAV System, calculating key metrics like Canopy Bulk Density (CBD) and Canopy Base Height (CBH) for fire behavior modeling. This enables precise above-ground biomass and carbon stock estimation, delivering essential data for sustainable forest inventory, health assessment, and growth trend monitoring.

Feiyan delivers canopy structure analysis and biomass estimation using airborne LiDAR from the AIMS Multi-modal Camera and Y-1 UAV System, processed on the Swift4D Digital Twin Spatiotemporal Intelligence Platform. High-density point clouds enable precise extraction of critical structural parameters—including Canopy Bulk Density (CBD) and Canopy Base Height (CBH) for fire behavior modeling. Combined with allometric growth models, we estimate above-ground biomass and carbon stocks, providing scientific data for sustainable forest management, carbon project development, and ecological conservation.

Our Differentiated Solution Framework

Built on Swift4D, the framework integrates data acquisition, structural parameter extraction, and biomass estimation:

Efficient Multi-Source Acquisition: AIMS captures point clouds, oblique imagery, and hyperspectral data in a single flight; the Farsight unattended system (covering 3,000 km² per unit) enables automated high-frequency patrols; Y-1 UAVs perform refined acquisition for key areas with point cloud density exceeding 50 pts/m².

Point Cloud & Canopy Modeling: Swift4D automates CHM generation, extracting individual tree height, crown width, and canopy cover. Voxel-based analysis computes CBD and CBH, supporting fire spread simulation and fire danger rating.

Biomass & Carbon Estimation: SwiftAI performs individual tree segmentation and feature extraction. Combined with ground plot data, it develops regional allometric models to estimate Above-Ground Biomass (AGB) and carbon stocks, with multi-temporal comparison for tracking forest growth trends and carbon dynamics.

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Application Scenarios & Client Value

Application Scenarios

Forest inventory and stand structure parameter extraction

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Fire behavior modeling and fire danger rating (CBD/CBH inputs)

Above-ground biomass and forest carbon stock estimation

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Forest health assessment and pest disturbance monitoring

Carbon project development and carbon trading baseline verification

Client Value

Penetration Capability: LiDAR penetrates canopies to capture sub-canopy terrain and vertical structure, overcoming optical remote sensing limitations.

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Efficiency at Scale: A single Farsight system covers 3,000 km², compressing thousand-hectare survey cycles from months to weeks.

Quantifiable Carbon: High-accuracy biomass estimation supports carbon project validation and international carbon trading baseline verification, enhancing carbon asset value.

Sustainable Management: Long-term time-series data enables science-based forest management and ecological compensation decisions while reducing fire risks.