Automatic individual tree detection and canopy segmentation from three-dimensional point cloud images obtained from ground-based lidar-Reference-Cited by-同舟云学术

Automatic individual tree detection and canopy segmentation from three-dimensional point cloud images obtained from ground-based lidar

Published:2018 Issue:3 Volume:74 Page:109-113
ISSN:0021-8588
Container-title:Journal of Agricultural Meteorology
language:en
Short-container-title:J. Agric. Meteorol.

Author:

ITAKURA Kenta¹,HOSOI Fumiki¹

Affiliation:

1. Graduate School of Agricultural and Life Sciences, The University of Tokyo

Publisher

Society of Agricultural Meteorology of Japan

Subject

Atmospheric Science,Agronomy and Crop Science

Link

https://www.jstage.jst.go.jp/article/agrmet/74/3/74_D-18-00012/_pdf

Reference34 articles.

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2. Dassot M, Constant T, Fournier M, 2011: The use of terrestrial LiDAR technology in forest science: application fields, benefits and challenges. Annals of Forest Science 68, 959-974.

3. Grau E, Durrieu S, Fournier R, Gastellu-Etchegorry J-P, Yin T, 2017: Estimation of 3D vegetation density with Terrestrial Laser Scanning data using voxels. A sensitivity analysis of influencing parameters. Remote Sensing of Environment 191, 373-388.

4. Henning JG, Radtke PJ, 2006: Detailed stem measurements of standing trees from ground-based scanning lidar. Forest Science 52, 67-80.

5. Hopkinson C, Chasmer L, Young-Pow C, Treitz P, 2004: Assessing forest metrics with a ground-based scanning lidar. Canadian Journal of Forest Research 34, 573-583.

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