Latest trends on tree classification and segmentation using UAV data—a review of agroforestry applications

B Chehreh, A Moutinho, C Viegas - Remote Sensing, 2023 - mdpi.com
When it comes to forest management and protection, knowledge is key. Therefore, forest
mapping is crucial to obtain the required knowledge towards profitable resource exploitation …

[HTML][HTML] Will “Tall Oaks from Little Acorns Grow”? White Oak (Quercus alba) Biology in the Anthropocene

AG Abbott, ME Staton, JM Lhotka, LE DeWald… - Forests, 2024 - mdpi.com
Quercus alba L., also known as white oak, eastern white oak, or American white oak, is a
quintessential North American species within the white oak section (Quercus) of the genus …

[HTML][HTML] Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data

A Hakula, L Ruoppa, M Lehtomäki, X Yu… - ISPRS Open Journal of …, 2023 - Elsevier
Tree species characterise biodiversity, health, economic potential, and resilience of an
ecosystem, for example. Tree species classification based on remote sensing data …

[HTML][HTML] Ground-based/UAV-LiDAR data fusion for quantitative structure modeling and tree parameter retrieval in subtropical planted forest

R Fekry, W Yao, L Cao, X Shen - Forest Ecosystems, 2022 - Elsevier
Light detection and ranging (LiDAR) has contributed immensely to forest mapping and 3D
tree modelling. From the perspective of data acquisition, the integration of LiDAR data from …

Estimation of urban forest characteristic parameters using UAV-Lidar coupled with canopy volume

B Zhang, X Li, H Du, G Zhou, F Mao, Z Huang, L Zhou… - Remote Sensing, 2022 - mdpi.com
The estimation of characteristic parameters such as diameter at breast height (DBH),
aboveground biomass (AGB) and stem volume (V) is an important part of urban forest …

Comparison of GEDI LiDAR data capability for forest canopy height estimation over broadleaf and needleleaf forests

M Rajab Pourrahmati, N Baghdadi, I Fayad - Remote Sensing, 2023 - mdpi.com
The GEDI LiDAR system was specifically designed to detect vegetation structure and has
proven to be a suitable tool for estimating forest biophysical parameters, especially canopy …

LiDAR platform for acquisition of 3D plant phenotyping database

MG Forero, HF Murcia, D Méndez… - Plants, 2022 - mdpi.com
Currently, there are no free databases of 3D point clouds and images for seedling
phenotyping. Therefore, this paper describes a platform for seedling scanning using 3D …

[HTML][HTML] Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning

B Xiang, M Wielgosz, T Kontogianni, T Peters… - Remote Sensing of …, 2024 - Elsevier
Detailed forest inventories are critical for sustainable and flexible management of forest
resources, to conserve various ecosystem services. Modern airborne laser scanners deliver …

[HTML][HTML] A novel algorithm of individual tree crowns segmentation considering three-dimensional canopy attributes using UAV oblique photos

L Lei, T Yin, G Chai, Y Li, Y Wang, X Jia… - International Journal of …, 2022 - Elsevier
Extracting the individual tree crowns (ITCs) information is significant to fine forest resource
investigation and carbon storage estimation. UAV oblique photogrammetry (UOP) can …

Nonlinear relationships between canopy structure and cooling effects in urban forests: Insights from 3D structural diversity at the single tree and community scales

J Jia, L Wang, Y Yao, Z Jing, Y Zhai, Z Ren, X He… - Sustainable Cities and …, 2025 - Elsevier
Three-dimensional structural diversity (3SD) directly influences the distribution and flow of
heat within the canopy. However, the nonlinear effects of 3SD of different species on the …