An Improved Convolution Neural Network-Based Model for Classifying Foliage and Woody Components from Terrestrial Laser Scanning Data

Leaf and wood classification framework for terrestrial LiDAR point clouds

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

Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest

(2019) Jing Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2019) Di Wang et al.   Methods in Ecology and Evolution

Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks

(2019) Shichao Jin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND 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

Linked spatial variability of throughfall amount and intensity during rainfall in a coniferous forest

(2018) Richard F. Keim et al.   AGRICULTURAL AND FOREST METEOROLOGY

An automated approach for wood-leaf separation from terrestrial LIDAR point clouds using the density based clustering algorithm DBSCAN

(2018) Roberto Ferrara et al.   AGRICULTURAL AND FOREST METEOROLOGY

Automated Segmentation of Leaves From Deciduous Trees in Terrestrial Laser Scanning Point Clouds

(2018) Zs. Koma et al.   IEEE Geoscience and Remote Sensing Letters

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

Effects of forest structure on hydrological processes in China

(2018) Jiamei Sun et al.   JOURNAL OF HYDROLOGY

Identifying the genus or species of individual trees using a three-wavelength airborne lidar system

(2018) Brindusa Cristina Budei et al.   REMOTE SENSING OF ENVIRONMENT

The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory

(2018) Elias Ayrey et al.   Remote Sensing

Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms

(2018) Shichao Jin et al.   Frontiers in Plant Science

Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives

(2018) Guangjian Yan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Determining woody-to-total area ratio using terrestrial laser scanning (TLS)

(2016) Lixia Ma et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessing the Contribution of Woody Materials to Forest Angular Gap Fraction and Effective Leaf Area Index Using Terrestrial Laser Scanning Data

(2016) Guang Zheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences

(2016) Jan U.H. Eitel et al.   REMOTE SENSING OF ENVIRONMENT

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

(2016) Ting Yun et al.   Remote Sensing

An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

(2016) Wuming Zhang et al.   Remote Sensing

Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements

(2015) Kim Calders et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessing the influence of topography and canopy structure on Douglas fir throughfall with LiDAR and empirical data in the Santa Cruz mountains, USA

(2015) K. T. Griffith et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Finding Leaves in the Forest: The Dual-Wavelength Echidna Lidar

(2015) Ewan S. Douglas et al.   IEEE Geoscience and Remote Sensing Letters

3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction

(2015) Xi Zhu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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

A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration

(2015) Alireza Kashani et al.   SENSORS

Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR

(2014) Olli Nevalainen et al.   AGRICULTURAL AND FOREST METEOROLOGY

Improving classification accuracy of airborne LiDAR intensity data by geometric calibration and radiometric correction

(2011) Wai Yeung Yan et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies

(2010) Ilkka Korpela et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING