GAP ForestFlow
> The Complete Autonomous Data Collection & Compliance Suite for International Forestry Operations.
High-Resolution Forestry Map & Volumetric Biomass Estimation
The interactive Forestry Map combines micro and macro perspectives seamlessly. Operators can toggle between high-resolution GeoJSON polygons—generated via FAST-LIO2 3D LiDAR scans from the GAPdrone for exact standing biomass estimation—and macro-level Copernicus/Sentinel-2 satellite imagery for broader environmental context.
Adaptive Timber Grading & Compliance Engine
Operating locally on Edge AI nodes without cloud dependence, GAP ForestFlow is engineered to dynamically adapt to the legal timber scaling and quality standards of the country where it is active. The software layer automatically loads regional grading metrics and forestry directives, ensuring seamless international deployment. To demonstrate this capability in highly regulated markets, the platform provides out-of-the-box automation for the rigorous Swedish national standards.
Operational Deployment Example: Swedish Market (Biometria Standards)
Sawlogs (Log-Measured)
Pine (Tall) is automatically sorted into Class 1, Class 2, Class 3, Class 4, or Cull (Vrak) based on real-time surface defect diameter arrays. Spruce (Gran) is classified into Class 1, Class 2, or Cull (Vrak).
Sawlogs (Stack-Measured Timber)
Continuous 3D LiDAR scanning evaluates stack profiles to calculate exact wood volume percentages (vedvolymprocent) while automatically deducting Cull proportions without manual errors.
Pulpwood (Stack-Measured)
AI-driven volumetric algorithms classify wood piles into Primary (Prima), Secondary (Sekunda), or Reject (Utskott/Mätningsvägran) depending on the proportion of detected rot and structural defects.
Pulpwood (Log-Measured)
Binary geometric validation automatically logs individual logs as either Deliverable or Non-Deliverable (Cull).
Predictive Stand Growth Simulator
Utilize the interactive Time Slider to run predictive simulations on forest stand volume and financial value appreciation 10 to 50 years into the future, driven by advanced localized growth algorithms.
Autonomous Field Intervention & Reporting
The Intervention Panel gives operators manual override capabilities and deep insights into active ground operations. Track the active status of GAPbot's MPPT 'Sun Bathing Mode' for extreme off-grid endurance. With single-click commands, dispatch units to perform 360-degree kinematic tree trunk inspections or deploy ROS 2-controlled pheromone traps for pest mitigation.
Compliance & Export
Generate instant, automated EASA SORA compliance reports for drone operations and PEFC/FSC nature conservation audits. Export digital marked tracts directly to commercial harvesting machinery using the native StanForD 2010 XML standard.
Decentralized Swarm Orchestration & Zero-Trust Security
The ecosystem coordinates via a Consensus-Based Bundle Algorithm (CBBA) over an off-grid B.A.T.M.A.N.-adv layer-2 mesh network, completely independent of cellular coverage. To guarantee First-Mile Traceability and absolute EUDR (EU Deforestation Regulation) compliance, all telemetry and harvest data is anchored to a Quantum-Resistant Web3 Audit Ledger (liboqs-python). Furthermore, the platform exposes continuous CycloneDX SBOMs, ensuring full alignment with the EU Cyber Resilience Act (CRA).