A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds
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Title
A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds
Authors
Keywords
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Journal
Remote Sensing
Volume 12, Issue 11, Pages 1779
Publisher
MDPI AG
Online
2020-06-02
DOI
10.3390/rs12111779
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- Weighing trees with lasers: advances, challenges and opportunities
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- Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories
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- Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels
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- SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds
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- Terrestrial Laser Scanning for Plot-Scale Forest Measurement
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- A bottom-up approach to segment individual deciduous trees using leaf-off lidar point cloud data
- (2014) Xingcheng Lu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- PypeTree: A Tool for Reconstructing Tree Perennial Tissues from Point Clouds
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