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Related Experiment Video

Updated: Apr 29, 2026

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

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Published on: April 26, 2016

[An automatic extraction algorithm for individual tree crown projection area and volume based on 3D point cloud

Wei-Heng Xu, Zhong-Ke Feng, Zhi-Fang Su

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|May 15, 2014

Summary

This summary is machine-generated.

This study introduces an automated method using 3D laser scanning to accurately measure tree crown projection area and volume, overcoming limitations of traditional forestry measurements for biomass estimation.

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Area of Science:

Forestry Science
Remote Sensing
Computer Vision

Background:

Traditional methods for measuring tree crown projection area and volume are prone to significant errors due to complex tree structures.
Accurate measurements are crucial for biomass estimation and other forestry applications.
Existing methods struggle with validation due to inherent inaccuracies.

Purpose of the Study:

To develop an automatic, non-destructive method for extracting tree crown projection area and volume.
To overcome the limitations of conventional measurement techniques for complex tree morphologies.
To implement computer-based algorithms for objective and precise forest mensuration.

Main Methods:

Utilized terrestrial three-dimensional laser scanning (FARO Photon120) for data acquisition.
Applied a plane scattered data point convex hull algorithm for crown projection area calculation.
Employed slice segmentation and accumulation algorithms for tree crown volume estimation.
Developed algorithms in VC++6.0 and Matlab7.0 for processing high-resolution 3D LIDAR point cloud data.

Main Results:

Achieved high correlation coefficients: 0.964 for crown projection area and 0.960 for crown volume.
The new method demonstrated a high degree of accuracy compared to conventional techniques.
Identified deviations attributed to the irregular silhouettes of tree crowns, highlighting the new method's sensitivity to actual shape.

Conclusions:

The automated 3D laser scanning method provides accurate and efficient extraction of tree crown projection and volume.
Proposed improvements include using multi-point projections and shape-specific volume formulas for enhanced accuracy.
This technique offers a valuable reference for tree crown structure studies and precision forestry.