Individual tree crown delineation itcd

Results 11 to 20 of about 43 (36)

Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

GIScience & Remote Sensing, 2023
Accurate quantification of individual tree parameters is vital for precise forest inventory and sustainable forest management. However, in dense forests, terrestrial laser scanning (TLS), which can provide accurate and detailed forest structural ...
Yuting Zhao, Jungho Im, Zhen Zhen, Yinghui Zhao +3 more
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

Remote 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, Lindi J. Quackenbush, Lianjun Zhang +2 more
doaj +1 more source

Examining the Multi-Seasonal Consistency of Individual Tree Segmentation on Deciduous Stands Using Digital Aerial Photogrammetry (DAP) and Unmanned Aerial Systems (UAS)

Remote Sensing, 2019
Digital aerial photogrammetric (DAP) techniques applied to unmanned aerial system (UAS) acquired imagery have the potential to offer timely and affordable data for monitoring and updating forest inventories.
Rik J.G. Nuijten +3 more
doaj +1 more source

A Comprehensive Comparison of Individual Tree Crown Delineation of Plantations Using UAV-LiDAR Data: A Case Study for Larch (Larix Olgensis) Forests in Northeast China

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Individual tree crown delineation (ITCD) employing unmanned aerial vehicle light detection and ranging data can directly obtain high-precision tree-level structural information within a block, with this information being the foundation for monitoring and
Xin Liu, Xinyang Zou, Yuanshuo Hao, Lihu Dong +3 more
doaj +1 more source

CrownViM: Context Clustering Meets Vision Mamba for Precise Tree Crown Segmentation in Aerial RGB Imagery

Remote Sensing
The proliferation of high-spatial-resolution remote sensing data is transforming forest attribute estimation, replacing traditional manual approaches with deep learning-based Individual Tree Crown Delineation (ITCD).
Erkang Shi +6 more
doaj +1 more source

A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR

Ecological Indicators
Accurate tree species classification is essential for forest resource management and biodiversity assessment. However, classifying tree species becomes challenging in natural secondary forests due to the difficulties in outlining the tree crown boundary.
Ye Ma +4 more
doaj +1 more source

Individual Tree Crown Delineation in Heterogeneous Urban Environments Using High-Resolution Airborne Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Urban trees are crucial to mitigate the increasing urban temperatures caused by climate change. Tree inventories, which are useful for urban planning and tree management, are mostly based on expensive and incomplete in situ measurements. Freely available
Oliver Schutte, Moritz Lucas, Bjorn Waske +2 more
doaj +1 more source

Individual tree segmentation of airborne and UAV LiDAR point clouds based on the watershed and optimized connection center evolution clustering. [PDF]

Ecol Evol, 2023
Li Y +9 more
europepmc +1 more source

The Feasibility of Modelling the Crown Profile of Larix olgensis Using Unmanned Aerial Vehicle Laser Scanning Data. [PDF]

Sensors (Basel), 2020
Quan Y, Li M, Zhen Z, Hao Y, Wang B.
europepmc +1 more source

Young White Pine Detection Using UAV Imagery and Deep Learning Object Detection Models. [PDF]

Sensors (Basel)
Poudel A, Bevilacqua E.
europepmc +1 more source

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