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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.

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Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories

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

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

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

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.