[HTML][HTML] lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in
natural resources management. By quantifying the three-dimensional structure of vegetation …
natural resources management. By quantifying the three-dimensional structure of vegetation …
UAV-based forest health monitoring: A systematic review
In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
Establishing a citywide street tree inventory with street view images and computer vision techniques
Trees in urban areas have diverse ecological, social, and health benefits. The establishment
of up-to-date and accurate street-tree inventories that list the species and locations of …
of up-to-date and accurate street-tree inventories that list the species and locations of …
Urban tree classification based on object-oriented approach and random forest algorithm using unmanned aerial vehicle (UAV) multispectral imagery
Q Guo, J Zhang, S Guo, Z Ye, H Deng, X Hou… - Remote Sensing, 2022 - mdpi.com
Timely and accurate information on the spatial distribution of urban trees is critical for
sustainable urban development, management and planning. Compared with satellite-based …
sustainable urban development, management and planning. Compared with satellite-based …
[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …
potential to provide the user with a more accurate scene understanding. This will enable …
Recent advances in Unmanned Aerial Vehicles forest remote sensing—A systematic review. Part II: Research applications
Forest sustainable management aims to maintain the income of woody goods for
companies, together with preserving non-productive functions as a benefit for the …
companies, together with preserving non-productive functions as a benefit for the …
Recent advances in unmanned aerial vehicle forest remote sensing—A systematic review. Part I: A general framework
Natural, semi-natural, and planted forests are a key asset worldwide, providing a broad
range of positive externalities. For sustainable forest planning and management, remote …
range of positive externalities. For sustainable forest planning and management, remote …
A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery
In this study, we automate tree species classification and mapping using field-based training
data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural …
data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural …
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using …
The classification of tree species can significantly benefit from high spatial and spectral
information acquired by unmanned aerial vehicles (UAVs) associated with advanced …
information acquired by unmanned aerial vehicles (UAVs) associated with advanced …