LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR

Leaf and wood classification framework for terrestrial LiDAR point clouds

(2019) Matheus B Vicari et al.   Methods in Ecology and Evolution

Separating Leaf and Wood Points in Terrestrial Laser Scanning Data Using Multiple Optimal Scales

(2019) Junjie Zhou et al.   SENSORS

Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana

(2019) Alvaro Lau et al.   Forests

Hyperspectral lidar point cloud segmentation based on geometric and spectral information

(2019) Biwu Chen et al.   OPTICS EXPRESS

AdTree: Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees

(2019) Shenglan Du et al.   Remote Sensing

Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests

(2019) Sruthi M. Krishna Moorthy et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Quality Assessment of Terrestrial Laser Scanner Ecosystem Observations Using Pulse Trajectories

(2018) Ian Paynter et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest

(2018) Xi Zhu et al.   International Journal of Applied Earth Observation and Geoinformation

Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling

(2018) Alvaro Lau et al.   TREES-STRUCTURE AND FUNCTION

Segmentation of vessel structures from photoacoustic images with reliability assessment

(2018) Pasi Raumonen et al.   Biomedical Optics Express

Separating Tree Photosynthetic and Non-Photosynthetic Components from Point Cloud Data Using Dynamic Segment Merging

(2018) Di Wang et al.   Forests

New estimates of leaf angle distribution from terrestrial LiDAR: Comparison with measured and modelled estimates from nine broadleaf tree species

(2018) Matheus Boni Vicari et al.   AGRICULTURAL AND FOREST METEOROLOGY

Terrestrial LiDAR: a three-dimensional revolution in how we look at trees

(2018) Mathias Disney   NEW PHYTOLOGIST

Improving LiDAR classification accuracy by contextual label smoothing in post-processing

(2018) Nan Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluation of the Range Accuracy and the Radiometric Calibration of Multiple Terrestrial Laser Scanning Instruments for Data Interoperability

(2017) Kim Calders et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds

(2017) Loïc Landrieu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Data acquisition considerations for Terrestrial Laser Scanning of forest plots

(2017) Phil Wilkes et al.   REMOTE SENSING OF ENVIRONMENT

Estimating Leaf Area Density of Individual Trees Using the Point Cloud Segmentation of Terrestrial LiDAR Data and a Voxel-Based Model

(2017) Shihua Li et al.   Remote Sensing

3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR

(2017) Jan Trochta et al.   PLoS One

Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies

(2016) Lixia Ma et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Segmentation of tree seedling point clouds into elementary units

(2016) Franck Hétroy-Wheeler et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Terrestrial laser scanning in forest inventories

(2016) Xinlian Liang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Novel Approach for Retrieving Tree Leaf Area from Ground-Based LiDAR

(2016) Ting Yun et al.   Remote Sensing

Automatic and Self-Adaptive Stem Reconstruction in Landslide-Affected Forests

(2016) Di Wang et al.   Remote Sensing

A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data

(2015) Shengli Tao et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds

(2015) Jan Hackenberg et al.   Forests

Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density

(2015) Jan Hackenberg et al.   Forests

Analysis of Geometric Primitives in Quantitative Structure Models of Tree Stems

(2015) Åkerblom Markku et al.   Remote Sensing

Terrestrial Laser Scanning for Plot-Scale Forest Measurement

(2015) Glenn J. Newnham et al.   Current Forestry Reports

Nondestructive estimates of above-ground biomass using terrestrial laser scanning

(2014) Kim Calders et al.   Methods in Ecology and Evolution

Change Detection of Tree Biomass with Terrestrial Laser Scanning and Quantitative Structure Modelling

(2014) Sanna Kaasalainen et al.   Remote Sensing

On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR

(2013) Martin Béland et al.   AGRICULTURAL AND FOREST METEOROLOGY

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

(2013) Pasi Raumonen et al.   Remote Sensing

The use of terrestrial LiDAR technology in forest science: application fields, benefits and challenges

(2011) Mathieu Dassot et al.   ANNALS OF FOREST SCIENCE

Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets

(2009) Sanna Kaasalainen et al.   Remote Sensing