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Guangcai Xu
Researcher at Chinese Academy of Sciences
Publications - 23
Citations - 648
Guangcai Xu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Lidar & Point cloud. The author has an hindex of 11, co-authored 21 publications receiving 435 citations.
Papers
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Journal ArticleDOI
Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories
Shengli Tao,Shengli Tao,Fangfang Wu,Qinghua Guo,Qinghua Guo,Yongcai Wang,Wenkai Li,Baolin Xue,Xueyang Hu,Peng Li,Di Tian,Chao Li,Hui Yao,Yumei Li,Guangcai Xu,Jingyun Fang +15 more
TL;DR: A comparative shortest-path algorithm (CSP) for segmenting tree crowns scanned using terrestrial (T)-LiDAR and mobile LiDAR, inspired by the well-proved metabolic ecology theory and the ecological fact that vascular plants tend to minimize the transferring distance to the root.
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An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
Qinghua Guo,Yanjun Su,Tianyu Hu,Xiaoqian Zhao,Fangfang Wu,Yumei Li,Jin Liu,Linhai Chen,Guangcai Xu,Guanghui Lin,Yi Zheng,Yiqiong Lin,Xiangcheng Mi,Lin Fei,Xugao Wang +14 more
TL;DR: Wang et al. as mentioned in this paper implemented a low-cost UAV-borne lidar system, including both a hardware system and a software system, to collect and process lidar data for biodiversity studies.
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Crop 3D—a LiDAR based platform for 3D high-throughput crop phenotyping
Qinghua Guo,Fangfang Wu,Shuxin Pang,Xiaoqian Zhao,Linhai Chen,Jin Liu,Baolin Xue,Guangcai Xu,Le Li,Haichun Jing,Chengcai Chu +10 more
TL;DR: Li et al. as mentioned in this paper developed a high-throughput crop phenotyping platform, named Crop 3D, which integrated LiDAR sensor, high-resolution camera, thermal camera and hyperspectral imager.
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Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands
Shengli Tao,Shengli Tao,Qinghua Guo,Qinghua Guo,Le Li,Baolin Xue,Maggi Kelly,Wenkai Li,Guangcai Xu,Yanjun Su +9 more
TL;DR: In this paper, the authors compared a range of airborne Lidar-derived volume metrics (i.e., stem volume, crown volume under convex hull, and Crown volume under canopy height model) to estimate AGB.
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Retrieving the gap fraction, element clumping index, and leaf area index of individual trees using single-scan data from a terrestrial laser scanner
TL;DR: Wang et al. as mentioned in this paper developed a new point cloud slicing method based on different incident zenith angles and retrieved the gap fraction using multiple-return information to obtain more accurate leaf area index estimations.