Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns

Edge-Tree Correction for Predicting Forest Inventory Attributes Using Area-Based Approach With Airborne Laser Scanning

(2015) Petteri Packalen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods

(2015) Michele Dalponte et al.   European Journal of 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

Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest

(2015) Endre Hansen et al.   Remote Sensing

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

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

Sensitivity Analysis of 3D Individual Tree Detection from LiDAR Point Clouds of Temperate Forests

(2014) Wei Yao et al.   Forests

Cross-Correlation of Diameter Measures for the Co-Registration of Forest Inventory Plots with Airborne Laser Scanning Data

(2014) Jean-Matthieu Monnet et al.   Forests

Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data

(2013) Timo Lahivaara et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A New Method for Segmenting Individual Trees from the Lidar Point Cloud

(2013) Wenkai Li et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Characterizing forest species composition using multiple remote sensing data sources and inventory approaches

(2013) Hans Ole Ørka et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest

(2013) Markus Holopainen et al.   URBAN FORESTRY & URBAN GREENING

Deriving individual tree competition indices from airborne laser scanning

(2012) Rune Østergaard Pedersen et al.   FOREST ECOLOGY AND MANAGEMENT

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

Single tree detection in heterogeneous boreal forests using airborne laser scanning and area-based stem number estimates

(2012) Liviu Ene et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

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

Tradeoffs between lidar pulse density and forest measurement accuracy

(2012) Marek K. Jakubowski et al.   REMOTE SENSING OF ENVIRONMENT

Advances in Forest Inventory Using Airborne Laser Scanning

(2012) Juha Hyyppä et al.   Remote Sensing

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

(2012) Harri Kaartinen et al.   Remote Sensing

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

(2011) J. Vauhkonen et al.   FORESTRY

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

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

Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce

(2009) S. Magnussen et al.   REMOTE SENSING OF ENVIRONMENT

Predicting the growth of stands of trees of mixed species and size: A matrix model for Norway

(2008) Ole Martin Bollandsås et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

A Lidar Point Cloud Based Procedure for Vertical Canopy Structure Analysis And 3D Single Tree Modelling in Forest

(2008) Yunsheng Wang et al.   SENSORS