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Related Experiment Video

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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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A Lidar Point Cloud Based Procedure for Vertical Canopy Structure Analysis And 3D Single Tree Modelling in Forest.

Yunsheng Wang1, Holger Weinacker2, Barbara Koch3

  • 1Dept. of Remote Sensing and Landscape Information Systems, University of Freiburg, Germany. yunsheng.wang@felis.uni-freiburg.de.

Sensors (Basel, Switzerland)
|November 24, 2016
PubMed
Summary

This study introduces a novel method for analyzing forest canopy structure and creating 3D single tree models using Lidar data. The approach enables detailed vertical canopy analysis and individual tree crown reconstruction for ecological research.

Keywords:
3D ModellingCrownLidarPoint CloudSingle Tree

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Area of Science:

  • Forestry
  • Remote Sensing
  • Computer Vision

Background:

  • Accurate forest inventory and analysis are crucial for sustainable forest management.
  • Traditional methods often lack the detail required for individual tree assessment.
  • Lidar technology offers high-resolution 3D data for forest structure analysis.

Purpose of the Study:

  • To present a procedure for vertical canopy structure analysis and 3D single tree modeling using Lidar point clouds.
  • To enable detailed analysis of individual tree crowns and their parameters.

Main Methods:

  • Segmentation of research area into study cells and normalization of Lidar point clouds.
  • Statistical analysis of height distribution to detect canopy layers and height ranges.
  • 3D tree detection and delineation using voxel space resampling and 2D projection images.
  • Individual tree extraction via pre-order forest traversal and 3D crown model reconstruction.

Main Results:

  • Successful detection of main tree canopy layers and their height ranges.
  • Accurate delineation and extraction of individual trees from top and sub-canopy layers.
  • Reconstruction of 3D tree crown models with derived parameters like crown height, volume, and contours.

Conclusions:

  • The presented procedure effectively analyzes vertical forest canopy structure and models individual trees from Lidar data.
  • This method provides a foundation for detailed ecological studies and forest management applications.
  • The derived 3D models and parameters enhance our understanding of forest ecosystems.