Tree Species Identification

Function Overview

Tree Species Identification identifies tree species for individual trees and writes the results back to the tree attribute file. The tool supports point-structure-based identification, panoramic-image-assisted identification, and LLM-based identification.

Tree species identification

Usage

Click TLS Forest > Tree Species Identification to open the tool.

Point Cloud

  • LiData File: Point cloud file corresponding to the tree attribute file.

  • Tree Species Confidence: Confidence threshold for tree species identification.

  • Prefer GPU: Use GPU acceleration when a supported GPU is available.

  • Select Model: Select the tree species recognition model.

Parameter Settings

  • Input Data: Input individual tree attribute file (*.treedb).

  • Recognition Method: Method used for tree species identification.

Panoramic Images

  • Point Cloud File: Point cloud file corresponding to the tree attribute file.

  • Panoramic Image Path: Folder containing panoramic images.

  • Tree Species Confidence: Confidence threshold for tree species identification.

  • Use LLM Optimization: Use LLM optimization for the panoramic-image-based result.

LLM

  • Panorama Image: Optional panorama image path.

  • Projected Coordinate System: Optional coordinate system used with panorama images. See Define Projection.

Output

The tool updates the input tree attribute file with tree species and confidence information.

Notes

  • Point-structure-based identification requires the corresponding LiData point cloud file.
  • Panoramic-image-based identification requires both the point cloud and the panoramic image path.
  • For LLM-based identification, panorama images and coordinate system information are optional and depend on the selected model capability.

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