Individual Tree Crown Methods for 3D Data from Remote Sensing

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

(2016) Juheon Lee et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest

(2016) Claudia Paris et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning

(2016) Yunsheng Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat

(2016) Ángeles Casas et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of Single Photon and Geiger Mode Lidar for the 3D Elevation Program

(2016) Jason Stoker et al.   Remote Sensing

Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data

(2016) Zhen Zhen et al.   Remote Sensing

Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar

(2016) Anu Swatantran et al.   Scientific Reports

An efficient approach to 3D single tree-crown delineation in LiDAR data

(2015) Domen Mongus et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space

(2015) Lothar Eysn et al.   Forests

Characterizing the Height Structure and Composition of a Boreal Forest Using an Individual Tree Crown Approach Applied to Photogrammetric Point Clouds

(2015) Benoît St-Onge et al.   Forests

Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest Inventory

(2015) Caiyun Zhang et al.   Remote Sensing

Individual tree delineation in deciduous forest areas with LiDAR point clouds

(2014) Yanshan Bian et al.   CANADIAN JOURNAL OF REMOTE SENSING

Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods

(2014) P.J. Zarco-Tejada et al.   EUROPEAN JOURNAL OF AGRONOMY

Delineation of Tree Crowns and Tree Species Classification From Full-Waveform Airborne Laser Scanning Data Using 3-D Ellipsoidal Clustering

(2014) Eva Lindberg et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

PTrees: A point-based approach to forest tree extraction from lidar data

(2014) C. Vega et al.   International Journal of Applied Earth Observation and Geoinformation

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

An efficient, multi-layered crown delineation algorithm for mapping individual tree structure across multiple ecosystems

(2014) L.I. Duncanson et al.   REMOTE SENSING OF ENVIRONMENT

Tree crown segmentation based on a geometric tree crown model for prediction of forest variables

(2013) Johan Holmgren et al.   CANADIAN JOURNAL OF REMOTE SENSING

Detection of 3-D Individual Trees in Urban Areas by Combining Airborne LiDAR Data and Imagery

(2013) Wei Yao et al.   IEEE Geoscience and Remote Sensing Letters

Breast Height Diameter Estimation From High-Density Airborne LiDAR Data

(2013) Alexander Bucksch et al.   IEEE Geoscience and Remote Sensing Letters

Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data

(2013) Michele Dalponte et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN Imputation

(2013) Eva Lindberg et al.   Remote Sensing

Estimation of stem attributes using a combination of terrestrial and airborne laser scanning

(2012) Eva Lindberg et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation

(2012) Johannes Heinzel et al.   International Journal of Applied Earth Observation and Geoinformation

Three-dimensional surface reconstruction of tree canopy from lidar point clouds using a region-based level set method

(2012) Shijun Tang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Multi-wavelength canopy LiDAR for remote sensing of vegetation: Design and system performance

(2012) Gong Wei et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Full waveform hyperspectral LiDAR for terrestrial laser scanning

(2012) Teemu Hakala et al.   OPTICS EXPRESS

3-D mapping of a multi-layered Mediterranean forest using ALS data

(2012) António Ferraz et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform Lidar

(2012) Nicholas R. Vaughn et al.   Remote Sensing

Recovery of Forest Canopy Parameters by Inversion of Multispectral LiDAR Data

(2012) Andrew Wallace et al.   Remote Sensing

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

(2012) Harri Kaartinen et al.   Remote Sensing

Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data

(2011) Jari Vauhkonen et al.   CANADIAN JOURNAL OF REMOTE SENSING

Comparative testing of single-tree detection algorithms under different types of forest

(2011) J. Vauhkonen et al.   FORESTRY

A Multispectral Canopy LiDAR Demonstrator Project

(2011) Iain H. Woodhouse et al.   IEEE Geoscience and Remote Sensing Letters

Canopy surface reconstruction from a LiDAR point cloud using Hough transform

(2011) Martin Van Leeuwen et al.   Remote Sensing Letters

Exploring full-waveform LiDAR parameters for tree species classification

(2010) Johannes Heinzel et al.   International Journal of Applied Earth Observation and Geoinformation

Adaptive clustering of airborne LiDAR data to segment individual tree crowns in managed pine forests

(2010) H. Lee et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data

(2010) Wouter Dorigo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data

(2010) Johannes Breidenbach et al.   REMOTE SENSING OF ENVIRONMENT

Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data

(2010) L.T. Waser et al.   REMOTE SENSING OF ENVIRONMENT

Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues

(2010) Xuelian Meng et al.   Remote Sensing

Comparative Analysis of Clustering-Based Approaches for 3-D Single Tree Detection Using Airborne Fullwave Lidar Data

(2010) Sandeep Gupta et al.   Remote Sensing

3D segmentation of single trees exploiting full waveform LIDAR data

(2009) J. Reitberger et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data

(2009) Hans Ole Ørka et al.   REMOTE SENSING OF ENVIRONMENT

Review of methods of small‐footprint airborne laser scanning for extracting forest inventory data in boreal forests

(2008) J. Hyyppä et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees

(2008) J. Reitberger et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images

(2008) J. Holmgren et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Stereo Processing by Semiglobal Matching and Mutual Information

(2007) H. Hirschmuller   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE