Results 11 to 20 of about 219 (129)

LiDAR-based assessment of treetop dieback to detect asian longhorned beetle damage in poplar forests

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Effective forest management depends on accurately monitoring changes in forest health. The Asian longhorned beetle (ALB) has caused extensive mortality in broadleaf trees worldwide.
Quan Zhou   +5 more
doaj   +2 more sources

Refinement of Individual Tree Detection Results Obtained from Airborne Laser Scanning Data for a Mixed Natural Forest

open access: yesRemote Sensing, 2022
Numerous semi- and fully-automatic algorithms have been developed for individual tree detection from airborne laser-scanning data, but different rates of falsely detected treetops also accompany their results.
Nenad Brodić   +6 more
doaj   +1 more source

Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests

open access: yesRemote Sensing, 2022
Accurate individual tree segmentation (ITS) is fundamental to forest management and to the studies of forest ecosystem. Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) shows advantages for ITS and tree height estimation at stand and ...
Qingda Chen   +6 more
doaj   +1 more source

Individual Tree Position Extraction and Structural Parameter Retrieval Based on Airborne LiDAR Data: Performance Evaluation and Comparison of Four Algorithms

open access: yesRemote Sensing, 2020
Information for individual trees (e.g., position, treetop, height, crown width, and crown edge) is beneficial for forest monitoring and management.
Wei Chen, Haibing Xiang, Kazuyuki Moriya
doaj   +1 more source

Impact of Tree-Oriented Growth Order in Marker-Controlled Region Growing for Individual Tree Crown Delineation Using Airborne Laser Scanner (ALS) Data

open access: yesRemote Sensing, 2014
Region growing is frequently applied in automated individual tree crown delineation (ITCD) studies. Researchers have developed various rules for initial seed selection and stop criteria when applying the algorithm. However, research has rarely focused on
Zhen Zhen   +2 more
doaj   +1 more source

Automatic Tree Crown Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in Mixed Forests

open access: yesRemote Sensing, 2020
Multispectral imaging using unmanned aerial systems (UAS) enables rapid and accurate detection of pest insect infestations, which are an increasing threat to midlatitude natural forests.
Robert Minařík   +2 more
doaj   +1 more source

An Automatic Individual Tree 3D Change Detection Method for Allometric Parameters Estimation in Mixed Uneven-Aged Forest Stands from ALS Data

open access: yesRemote Sensing, 2022
Forests play a central role in the management of the Earth’s climate. Airborne laser scanning (ALS) technologies facilitate the monitoring of large and impassable areas and can be used to monitor the 3D structure of forests.
Claudio Spadavecchia   +3 more
doaj   +1 more source

From Peaks to Crowns: A Morphology-Based UAV-LiDAR Framework for Individual Tree Segmentation [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Recognising individual trees has important applications in forest ecology and management. Conventional individual tree segmentation methods tend to favour dominant trees with pronounced canopy surface features but have limited capability in detecting ...
Y. Guo   +9 more
doaj   +1 more source

Extraction of individual trees based on Canopy Height Model to monitor the state of the forest

open access: yesTrees, Forests and People, 2022
Active remotely sensed data can be used to perform a variety of forestry tasks including stand characterization, inventory, and management of forest and fire behavior modeling.
Rim Douss, Imed Riadh Farah
doaj   +1 more source

Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data [PDF]

open access: yesiForest - Biogeosciences and Forestry, 2017
Airborne laser scanning (ALS) has recently gained increasing attention in forestry, as ALS data may facilitate the efficient assessment of forest inventory attributes and ecological indicators related to forest stand structure. This paper presents a novel workflow for individual tree detection and tree crown delineation using ALS data.
Sačkov I, Hlásny T, Bucha T, Juriš M
openaire   +2 more sources

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