Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning [PDF]
Mangrove forests play a critical role in protecting tropical coastlines, storing carbon, and supporting marine life, yet mapping their fine-scale canopy structure remains difficult.
J. R. Jao +18 more
doaj +1 more source
From Peaks to Crowns: A Morphology-Based UAV-LiDAR Framework for Individual Tree Segmentation [PDF]
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
ACCURACY ASSESSMENT OF CROWN DELINEATION METHODS FOR THE INDIVIDUAL TREES USING LIDAR DATA [PDF]
Forest canopy density and height are used as variables in a number of environmental applications, including the estimation of biomass, forest extent and condition, and biodiversity.
K. T. Chang +3 more
doaj +1 more source
Individual Tree Crown Delineation Techniques for Vegetation Management in Power Line Corridor [PDF]
Remotely sensed, high spatial resolution images have great potential in assisting vegetation management in power line corridor. With the wide use of object-based approaches in remote sensing image analysis, individual tree crown delineation becomes a key research focus to improve the accuracy of plant information extraction.
Li, Zhengrong +3 more
openaire +2 more sources
Unmanned aerial vehicles (UAVs) have contributed considerably to forest monitoring. However, gaps in the knowledge still remain, particularly for natural forests.
Eduardo D. Vivar-Vivar +3 more
doaj +1 more source
Evaluating a Weighted Ensemble of Deep Learning Models for Individual Tree Crown Delineation from LiDAR Data [PDF]
This study investigates a weighted ensemble framework for individual tree crown (ITC) delineation using LiDAR-derived canopy height models (CHMs). Three deep learning models, Mask R-CNN, U-Net, and YOLO were first independently evaluated to establish the
D. Gaspar, B. Hu, Q. Li
doaj +1 more source
Aim of study: To present an approach for estimating tree heights, stand density and crown patches using LiDAR data in a subtropical broad-leaved forest.
Azita Ahmad Zawawi +2 more
doaj +1 more source
A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline
Monitoring tree decline in arid and semi-arid zones requires methods that can provide up-to-date and accurate information on the health status of the trees at single-tree and sample plot levels.
Marziye Ghasemi +2 more
doaj +1 more source
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani +8 more
wiley +1 more source

