[HTML][HTML] Terrestrial laser scanning in forest ecology: Expanding the horizon
Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree
height and diameter, in the early 2000s. Recent advances in sensor and algorithm …
height and diameter, in the early 2000s. Recent advances in sensor and algorithm …
Estimation of LAI with the LiDAR technology: A review
Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR
Abstract Above-Ground Biomass (AGB) product calibration and validation require ground
reference plots at hectometric scales to match space-borne missions' resolution. Traditional …
reference plots at hectometric scales to match space-borne missions' resolution. Traditional …
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
Determining tree species composition in natural forests is essential for effective forest
management. Species classification at the individual tree level requires fine-scale traits …
management. Species classification at the individual tree level requires fine-scale traits …
LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR
D Wang, S Momo Takoudjou… - Methods in Ecology and …, 2020 - Wiley Online Library
Leaf‐wood separation in terrestrial LiDAR data is a prerequisite for non‐destructively
estimating biophysical forest properties such as standing wood volumes and leaf area …
estimating biophysical forest properties such as standing wood volumes and leaf area …
Leaf and wood classification framework for terrestrial LiDAR point clouds
Leaf and wood separation is a key step to allow a new range of estimates from Terrestrial
LiDAR data, such as quantifying above‐ground biomass, leaf and wood area and their 3D …
LiDAR data, such as quantifying above‐ground biomass, leaf and wood area and their 3D …
[HTML][HTML] Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks
High-throughput maize phenotyping at both organ and plant levels plays a key role in
molecular breeding for increasing crop yields. Although the rapid development of light …
molecular breeding for increasing crop yields. Although the rapid development of light …
Unsupervised semantic and instance segmentation of forest point clouds
D Wang - ISPRS Journal of Photogrammetry and Remote …, 2020 - Elsevier
Abstract Terrestrial Laser Scanning (TLS) has been increasingly used in forestry
applications including forest inventory and plant ecology. Tree biophysical properties such …
applications including forest inventory and plant ecology. Tree biophysical properties such …
Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests
SMK Moorthy, K Calders, MB Vicari… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurately classifying 3-D point clouds into woody and leafy components has been an
interest for applications in forestry and ecology including the better understanding of …
interest for applications in forestry and ecology including the better understanding of …
A novel approach for the detection of standing tree stems from plot-level terrestrial laser scanning data
Tree stem detection is a key step toward retrieving detailed stem attributes from terrestrial
laser scanning (TLS) data. Various point-based methods have been proposed for the stem …
laser scanning (TLS) data. Various point-based methods have been proposed for the stem …