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Assessing and correcting topographic effects on forest canopy height retrieval using airborne LiDAR data

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成果类型:
期刊论文
作者:
Duan, Zhugeng;Zhao, Dan;Zeng, Yuan*;Zhao, Yujin;Wu, Bingfang;...
通讯作者:
Zeng, Yuan
作者机构:
[Zhao, Yujin; Zeng, Yuan; Wu, Bingfang; Zhao, Dan; Duan, Zhugeng] Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China.
[Zhu, Jianjun; Duan, Zhugeng] Cent S Univ, Sch GeoSci & Info Phys, Changsha 410083, Hunan, Peoples R China.
[Duan, Zhugeng] Cent South Univ Forestry & Technol, Sch Sci, Changsha 410004, Hunan, Peoples R China.
通讯机构:
[Zeng, Yuan] C
Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China.
语种:
英文
关键词:
LiDAR;canopy height point cloud;Dinghushan National Nature Reserve;multi-resolution segmentation;topography
期刊:
Sensors
ISSN:
1424-8220
年:
2015
卷:
15
期:
6
页码:
12133-12155
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41201351, 41401508]; Chinese Academy of SciencesChinese Academy of Sciences [XDA05050108]; South China Botanical Garden, Chinese Academy of SciencesChinese Academy of Sciences
机构署名:
本校为其他机构
院系归属:
理学院
摘要:
Topography affects forest canopy height retrieval based on airborne Light Detection and Ranging (LiDAR) data a lot. This paper proposes a method for correcting deviations caused by topography based on individual tree crown segmentation. The point cloud of an individual tree was extracted according to crown boundaries of isolated individual trees from digital orthophoto maps (DOMs). Normalized canopy height was calculated by subtracting the elevation of centres of gravity from the elevation of point cloud. First, individual tree crown boundaries...

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