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

scholarly journals Analysis of multitemporal aerial images for fenyőfő Forest change detection

2016 ◽  
Vol 10 (2) ◽  
pp. 89-100
Author(s):  
Shukhrat Shokirov ◽  
Géza Király
Keyword(s):  
Forest Type ◽  
Measurement Data ◽  
Aerial Images ◽  
Tree Crown ◽  
Individual Tree ◽  
Tree Crowns ◽  
Clear Cut ◽  
Crown Delineation ◽  
Tree Crown Delineation ◽  
Type Classification

This study evaluated the use of 40 cm spatial resolution aerial images for individual tree crown delineation, forest type classification, health estimation and clear-cut area detection in Fenyőfő forest reserves in 2012 and 2015 years. Region growing algorithm was used for segmentation of individual tree crowns. Forest type (coniferous/deciduous trees) were distinguished based on the orthomosaic images and segments. Research also investigated the height of individual trees, clear-cut areas and cut crowns between 2012 and 2015 years using Canopy Height Models. Results of the research were examined based on the field measurement data. According to our results, we achieved 75.2% accuracy in individual tree crown delineation. Heights of tree crowns have been calculated with 88.5% accuracy. This study had promising result in clear cut area and individual cut crown detection. Overall accuracy of classification was 77.2%, analysis showed that coniferous tree type classification was very accurate, but deciduous tree classification had a lot of omission errors. Based on the results and analysis, general information about forest health conditions has been presented. Finally, strengths and limitations of the research were discussed and recommendations were given for further research.

scholarly journals Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands

2017 ◽  
Vol 9 (3) ◽  
pp. 231 ◽  
Author(s):  
Chloe Barnes ◽  
Heiko Balzter ◽  
Kirsten Barrett ◽  
James Eddy ◽  
Sam Milner ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Larch Forest ◽  
Forest Stands ◽  
Tree Crown ◽  
Individual Tree ◽  
Airborne Laser ◽  
Crown Delineation ◽  
Tree Crown Delineation
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