[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 …
Machine learning for precision agriculture using imagery from unmanned aerial vehicles (uavs): A survey
Unmanned aerial vehicles (UAVs) are increasingly being integrated into the domain of
precision agriculture, revolutionizing the agricultural landscape. Specifically, UAVs are …
precision agriculture, revolutionizing the agricultural landscape. Specifically, UAVs are …
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
Individual tree detection from unmanned aerial vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …
Cross-site learning in deep learning RGB tree crown detection
Tree crown detection is a fundamental task in remote sensing for forestry and ecosystem
ecology. While many individual tree segmentation algorithms have been proposed, the …
ecology. While many individual tree segmentation algorithms have been proposed, the …
Comparison of ALS-and UAV (SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations
J Guerra-Hernández, DN Cosenza… - … Journal of Remote …, 2018 - Taylor & Francis
Highly accurate, rapid forest inventory techniques are needed to enable forest managers to
address the increasing demand for sustainable forestry. In the last two decades, Airborne …
address the increasing demand for sustainable forestry. In the last two decades, Airborne …
Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations
The monitoring of forest phenology in a cost-effective manner, at a fine spatial scale and
over relatively large areas remains a significant challenge. To address this issue, unmanned …
over relatively large areas remains a significant challenge. To address this issue, unmanned …
Measuring tree height with remote sensing—A comparison of photogrammetric and LiDAR data with different field measurements
S Ganz, Y Käber, P Adler - Forests, 2019 - mdpi.com
We contribute to a better understanding of different remote sensing techniques for tree
height estimation by comparing several techniques to both direct and indirect field …
height estimation by comparing several techniques to both direct and indirect field …
Tree crown delineation algorithm based on a convolutional neural network
Tropical forests concentrate the largest diversity of species on the planet and play a key role
in maintaining environmental processes. Due to the importance of those forests, there is …
in maintaining environmental processes. Due to the importance of those forests, there is …
[HTML][HTML] Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests
Tree species composition of forest stand is an important indicator of forest inventory
attributes for assessing ecosystem health, understanding successional processes, and …
attributes for assessing ecosystem health, understanding successional processes, and …