How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing in Ecology and Conservation"
DOI: 10.1002/rse2.109
Abstract: Plant invasions can result in serious threats for biodiversity and ecosystem functioning. Reliable maps at very-high spatial resolution are needed to assess invasions dynamics. Field sampling approaches could be replaced by unmanned aerial vehicles (UAVs)… read more here.
Keywords: high spatial; remote sensing; spatial resolution; species classification ... See more keywords
An analysis of timber sections and deep learning for wood species classification
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09212-x
Abstract: The wood species classification is an essential field of investigation that can help to combat illegal logging, then providing the timber certification and allowing the application of correct timber taxing. Today, the wood classification relies… read more here.
Keywords: classification; wood species; species classification; timber sections ... See more keywords
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.08.001
Abstract: Abstract Determining tree species composition in natural forests is essential for effective forest management. Species classification at the individual tree level requires fine-scale traits which can be derived through terrestrial laser scanning (TLS) point clouds.… read more here.
Keywords: machine; wood filtering; deep learning; species classification ... See more keywords
Performance of convolutional neural network (CNN) and performance influencing factors for wood species classification of Lepidobalanus growing in Korea
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-69281-y
Abstract: This study aimed to investigate the performance and factors affecting the species classification of convolutional neural network (CNN) architecture using whole-part and earlywood-part cross-sectional datasets of six Korean Quercus species. The accuracy of species classification… read more here.
Keywords: convolutional neural; cnn; part; performance ... See more keywords
Tree species classification based on PointNet++ deep learning and true- colour point cloud
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2377837
Abstract: ABSTRACT Accurate identification of tree species is the foundation of forest resource surveys and an important research field in forestry remote sensing. The introduction of the PointNet++ deep learning network to point cloud processing provides… read more here.
Keywords: pointnet deep; point; tree species; point cloud ... See more keywords
Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2025.2498601
Abstract: ABSTRACT Improving tree species classification accuracy often involves complex workflows, constrained by high computational costs, extensive data requirements, and sensitivity to spatiotemporal variations. This study introduces the Change Resistance Filter (CR-Filter), inspired by the stable… read more here.
Keywords: classification accuracy; post processing; tree species; species classification ... See more keywords
Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3048372
Abstract: Among different forest inventory problems, one of the most basic is defining dominant species. These data are crucial in forest management to determine forest category, and a cheaper remote sensing-based approach would be a useful… read more here.
Keywords: approach; multispectral satellite; species classification; satellite imagery ... See more keywords
A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3527808
Abstract: Light detection and ranging (LiDAR) holds considerable promise for tree species classification. Existing networks that utilize point clouds of individual trees have shown promising results. However, challenges, such as incomplete point cloud data, uneven point… read more here.
Keywords: multifeature fusion; species classification; network; tree species ... See more keywords
Species Classification of Automatically Delineated Regenerating Conifer Crowns Using RGB and Near-Infrared UAV Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3123552
Abstract: Unmanned aerial vehicles (UAVs) and deep learning are important tools at the forefront of automated forest monitoring research, where classification of individual tree species is a critical forest management goal. Near-infrared (NIR) information provided by… read more here.
Keywords: classification automatically; rgb; near infrared; automatically delineated ... See more keywords
An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3181680
Abstract: This letter proposes a novel method based on Deep Learning (DL) to forest species classification in airborne Light Detection and Ranging (LiDAR) data. Differently from the state-of-the-art approaches, the proposed method: 1) does not assume… read more here.
Keywords: tree species; lidar data; deep learning; based deep ... See more keywords
DeepBarcoding: Deep Learning for Species Classification using DNA Barcoding.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3056570
Abstract: DNA barcodes with short sequence fragments are used for species identification. Because of advances in sequencing technologies, DNA barcodes have gradually been emphasized. DNA sequences from different organisms are easily and rapidly acquired. Therefore, DNA… read more here.
Keywords: dna; classification using; species classification; sequence ... See more keywords