Services Overview
TreeDetect supports two main data processing technologies: LiDAR and Photogrammetry.
Both methods can automatically produce a complete forest survey.
- For LiDAR, processing is based directly on the uploaded point cloud.
- For Photogrammetry, processing is performed from aerial images. The system first generates a precise 3D point cloud using photogrammetric reconstruction, then conducts the forest analysis.
Thanks to the imagery, a detailed orthophoto is also created.
✅ Advantage:
Whether you upload a point cloud or images, TreeDetect automatically processes the data and generates a visually rich, detailed forestry report.
Services and Outputs
The table below presents the core TreeDetect services, available for both LiDAR and photogrammetric processing modes.
| Service | Description | Output / Notes | Availability |
|---|---|---|---|
| Full Tree Inventory | Automatically detects every single tree, measuring its height, diameter, volume, and position. | Detailed tree inventory table (exportable in .xlsx and .geojson formats) | Available only during leaf-off conditions |
| Tree Counting | Automatic detection and counting of trees across the surveyed area based on point cloud or image-based data. | Total tree count and spatial distribution | Available for both LiDAR and Photogrammetry |
| Digital Terrain Model (DTM) | A georeferenced model representing the ground elevation and surface relief. | Downloadable .tif terrain model | Can be generated with or without foliage |
| Orthophoto | A distortion-free, high-accuracy aerial image generated from drone photography. | High-resolution georeferenced orthophoto (.tif) | Available for photogrammetric projects only |
⚠️ Note:
The Full Tree Inventory service is only available for data captured in leaf-off conditions.
During the growing season, dense canopy cover may obscure tree trunks, reducing measurement accuracy.
🌲 Tip:
LiDAR provides the most accurate tree-level analysis, while Photogrammetry additionally enables the creation of high-quality orthophotos.