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Full Tree Inventory

The TreeDetect Full Tree Inventory service identifies and measures every individual tree within the surveyed area using uploaded LiDAR or Photogrammetry data.
The system provides accurate, georeferenced measurements for each tree, enabling both stand-level and individual tree-level analysis.

⚠️ Note:
The full inventory can only be generated accurately under leaf-off conditions.
During the growing season, canopy cover can obscure trunks, preventing precise diameter-at-breast-height (DBH) measurements.

Data Sources and Workflow​

Tree inventory generation can be based on two data input types:

  • LiDAR Processing:
    The software identifies trees and measures parameters directly from the uploaded point cloud.

  • Photogrammetric Processing:
    The system first generates a 3D point cloud from drone imagery, then performs tree identification and measurement using the same analysis pipeline.

Measured Parameters​

TreeDetect automatically performs all essential forestry measurements and identifiers for each detected tree:

ParameterDescription
TreeIDUnique identifier for every tree
X, Y CoordinatesGeographic position of the tree (in EOV or WGS84 system)
Fitting ErrorDeviation between detected point cloud and model
Height (H)Total tree height measured from ground level
Diameter at Breast Height (D1.3)Trunk diameter measured at 1.3 m height
Gross volumeTotal tree volume (based on the selected calculation method)
Basal AreaCross-sectional area derived from D1.3
SpeciesTree species, as defined in project parameters
Area SizeProcessed area in hectares
Detected TreesTotal number of trees identified in the project

Volume Calculation Methods​

Volume is calculated based on the selected tree species and mathematical model:

  • Sopp Volume Table – Empirical, species-specific method widely used in Hungary.
  • Schumacher–Hall Equation – Regression-based model using height and diameter.
  • Form Factor Method (Formzahlmethode) – Uses diameter × height × form factor for volume estimation.
  • Allometric Model – Ecological method based on the relationship between diameter and height.
  • Segmented Log Fitting (Point Cloud Based) – Divides the stem into sections and fits cylindrical segments for high-accuracy volume modeling.
  • Height & Diameter Only – Simplified analysis without volume estimation.

Users can select the preferred formula or table during project creation.

Output and Visualizations​

After processing, TreeDetect provides results on multiple levels — both as data tables and visual analyses.
All data is automatically linked to the map and charts, enabling transparent and interactive exploration.

📈 Summary Metrics​

The project summary displays key stand-level indicators:

  • Number of detected trees
  • Number of measured trees
  • Gross volume (m³)
  • Average height (m)
  • Average diameter (cm)
  • Total basal area (m²)
  • Volume per hectare (m³/ha)
  • Basal area per hectare (m²/ha)
  • Average tree count per hectare (trees/ha)

🔥 Heatmaps and Charts​

TreeDetect automatically generates multiple visual analytics:

  • Tree height heatmap
  • Trunk diameter heatmap
  • Tree density heatmap
  • Height distribution chart
  • Diameter distribution chart
  • Height–diameter correlation graph
  • Interactive mean and median overlays

All charts are zoomable and dynamically generated.

🗺️ Interactive Maps​

On the report page, each detected tree appears as a map point.
Clicking a point reveals key tree parameters:

  • Height
  • Diameter
  • Volume
  • Basal area

Available background layers:

  • DTM (Digital Terrain Model)
  • CHM (Canopy Height Model)
  • Orthophoto (for photogrammetry projects)

All raster outputs are downloadable as .tif files.

📊 Data Table​

The processing generates a detailed data table containing all per-tree information:

  • TreeID (unique ID)
  • X, Y coordinates
  • Fitting error
  • Height (H)
  • Diameter at Breast Height (D₁.₃)
  • Gross volume
  • Basal area
  • Species
  • Area
  • Detected trees

The dataset is exportable in .xlsx format and can also be imported into GIS software (e.g., QGIS) using the GeoJSON output.

LiDAR Sample Project

Photogrammetry Sample Project

✅ Advantage:
The Full Tree Inventory is TreeDetect’s most comprehensive service, providing spatially mapped, measurable, and exportable tree-level data.
Results can be viewed interactively, exported to external tools, and used for advanced forestry analyses, yield estimation, and long-term monitoring.