IEEE - Institute of Electrical and Electronics Engineers, Inc. - Assessing the Impacts of Various Factors on Treetop Detection Using LiDAR-Derived Canopy Height Models

Author(s): Sheng Nie ; Cheng Wang ; Xiaohuan Xi ; Shezhou Luo ; Xiaoxiao Zhu ; Guoyuan Li ; Hua Liu ; Jinyan Tian ; Su Zhang
Sponsor(s): IEEE Geoscience and Remote Sensing Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2019
Volume: 57
Page(s): 10,099 - 10,115
ISSN (Electronic): 1558-0644
ISSN (Paper): 0196-2892
DOI: 10.1109/TGRS.2019.2931408
Regular:

Canopy height models (CHMs) were utilized to detect treetops and estimate individual-tree parameters. The treetop detection based on CHMs was affected by surface topography and crown... View More

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