Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences
Capturing and quantifying the world in three dimensions (x, y, z) using light detection and
ranging (lidar) technology drives fundamental advances in the Earth and Ecological …
ranging (lidar) technology drives fundamental advances in the Earth and Ecological …
Weighing trees with lasers: advances, challenges and opportunities
Terrestrial laser scanning (TLS) is providing exciting new ways to quantify tree and forest
structure, particularly above-ground biomass (AGB). We show how TLS can address some …
structure, particularly above-ground biomass (AGB). We show how TLS can address some …
[HTML][HTML] International benchmarking of terrestrial laser scanning approaches for forest inventories
The last two decades have witnessed increasing awareness of the potential of terrestrial
laser scanning (TLS) in forest applications in both public and commercial sectors, along with …
laser scanning (TLS) in forest applications in both public and commercial sectors, along with …
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 …
Upscaling forest biomass from field to satellite measurements: sources of errors and ways to reduce them
Forest biomass monitoring is at the core of the research agenda due to the critical
importance of forest dynamics in the carbon cycle. However, forest biomass is never directly …
importance of forest dynamics in the carbon cycle. However, forest biomass is never directly …
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 …