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 …
[HTML][HTML] UAV in the advent of the twenties: Where we stand and what is next
Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …
making them popular instruments for a wide range of applications, and leading to a …
Aboveground mangrove biomass estimation in Beibu Gulf using machine learning and UAV remote sensing
On the basis of canopy height variables, vegetation index, texture index, and laser point
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …
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 …
Estimating biomass and nitrogen amount of barley and grass using UAV and aircraft based spectral and photogrammetric 3D features
The timely estimation of crop biomass and nitrogen content is a crucial step in various tasks
in precision agriculture, for example in fertilization optimization. Remote sensing using …
in precision agriculture, for example in fertilization optimization. Remote sensing using …
Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data
The use of remote sensing data for tree species classification in tropical forests is still a
challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors …
challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors …
A novel deep learning method to identify single tree species in UAV-based hyperspectral images
Deep neural networks are currently the focus of many remote sensing approaches related to
forest management. Although they return satisfactory results in most tasks, some challenges …
forest management. Although they return satisfactory results in most tasks, some challenges …
[HTML][HTML] Tree species recognition from close-range sensing: A review
Abstract Information on tree species across various spatial scales, from an individual tree to
a forest stand and the broader landscape, contributes to an accurate and thorough …
a forest stand and the broader landscape, contributes to an accurate and thorough …