Improving the efficiency and accuracy of individual tree crown delineation from high-density LiDAR data

2014 ◽  
Vol 26 ◽  
pp. 145-155 ◽  
Author(s):  
Baoxin Hu ◽  
Jili Li ◽  
Linhai Jing ◽  
Aaron Judah
Keyword(s):  
High Density ◽  
Lidar Data ◽  
Tree Crown ◽  
Individual Tree ◽  
Crown Delineation ◽  
Tree Crown Delineation

scholarly journals Individual Tree Crown Delineation Using Multispectral LiDAR Data

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5421 ◽  
Author(s):  
Faizaan Naveed ◽  
Baoxin Hu ◽  
Jianguo Wang ◽  
G. Brent Hall
Keyword(s):  
Lidar Data ◽  
Segmentation Method ◽  
Tree Crown ◽  
Individual Tree ◽  
Tree Crowns ◽  
Multi Scale ◽  
Crown Delineation ◽  
Tree Crown Delineation ◽  
The City ◽  
532 Nm

In this study, multispectral Light Detection and Ranging (LiDAR) data were utilized to improve delineation of individual tree crowns (ITC) as an important step in individual tree analysis. A framework to integrate spectral and height information for ITC delineation was proposed, and the multi-scale algorithm for treetop detection developed in one of our previous studies was improved. In addition, an advanced region-based segmentation method that used detected treetops as seeds was proposed for segmentation of individual crowns based on their spectral, contextual, and height information. The proposed methods were validated with data acquired using Teledyne Optech’s Titan LiDAR sensor. The sensor was operated at three wavelengths (1550 nm, 1064 nm, and 532 nm) within a study area located in the city of Toronto, ON, Canada. The proposed method achieved 80% accuracy, compared with manual delineation of crowns, considering both matched and partially matched crowns, which was 12% higher than that obtained by the earlier marker-controlled watershed (MCW) segmentation technique. Furthermore, the results showed that the integration of spectral and height information improved ITC delineation using either the proposed framework or MCW segmentation, compared with using either spectral or height information individually.

scholarly journals A Region-Based Hierarchical Cross-Section Analysis for Individual Tree Crown Delineation Using ALS Data

2017 ◽  
Vol 9 (10) ◽  
pp. 1084 ◽  
Author(s):  
Yinghui Zhao ◽  
Yuanshuo Hao ◽  
Zhen Zhen ◽  
Ying Quan
Keyword(s):  
Cross Section ◽  
Tree Crown ◽  
Individual Tree ◽  
Crown Delineation ◽  
Tree Crown Delineation ◽  
Section Analysis

scholarly journals ARBOR: A new framework for assessing the accuracy of individual tree crown delineation from remotely-sensed data

2019 ◽  
Vol 231 ◽  
pp. 111256
Author(s):  
Jon Murray ◽  
David Gullick ◽  
George Alan Blackburn ◽  
James Duncan Whyatt ◽  
Christopher Edwards
Keyword(s):  
Remotely Sensed ◽  
Tree Crown ◽  
Remotely Sensed Data ◽  
Individual Tree ◽  
Crown Delineation ◽  
Tree Crown Delineation ◽  
New Framework

scholarly journals Canopy Fuel Load Mapping of Mediterranean Pine Sites Based on Individual Tree-Crown Delineation

2013 ◽  
Vol 5 (12) ◽  
pp. 6461-6480 ◽  
Author(s):  
Giorgos Mallinis ◽  
Ιoannis Mitsopoulos ◽  
Panagiota Stournara ◽  
Petros Patias ◽  
Alexandros Dimitrakopoulos
Keyword(s):  
Fuel Load ◽  
Tree Crown ◽  
Individual Tree ◽  
Crown Delineation ◽  
Mediterranean Pine ◽  
Tree Crown Delineation
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