TreeScatter creates interactive 3D digital twins of forests using drone-based photogrammetry. The platform automates forest inventories, providing tree-level analytics like species, DBH, and height for efficient land management.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional forest inventories are time-consuming and costly, often requiring extensive manual fieldwork and resulting in less granular data. This limits the ability to conduct frequent, high-precision assessments of forest health and resource management across large areas.
Solution
TreeScatter provides an automated solution for creating interactive 3D digital twins of forests using drone-based photogrammetry. By processing aerial data, the platform generates detailed, tree-level analytics for entire forested regions. This approach significantly accelerates the inventory process and reduces operational costs compared to conventional methods. The resulting digital twin offers a comprehensive, visual representation of the forest, enabling more informed and efficient land management decisions.
Target Audience
The primary customers are forestry professionals, land managers, and environmental consultants who require detailed and efficient forest inventory data for operational planning and resource assessment.
Features
- Drone-based data acquisition for comprehensive forest coverage.
- Photogrammetric processing to generate high-fidelity 3D models.
- Tree-level analytics, including species identification, diameter at breast height (DBH), and height estimation.
- Interactive 3D visualization platform for detailed forest exploration.
- Automated data processing pipeline to reduce manual intervention.
- Scalable solution for managing large forest inventories.