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[HTML][HTML] Recent advances in forest insect pests and diseases monitoring using UAV-based data: A systematic review
Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …
Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Data processing for forestry applications is challenged by the increasing availability of multi-
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR
Abstract Above-Ground Biomass (AGB) product calibration and validation require ground
reference plots at hectometric scales to match space-borne missions' resolution. Traditional …
reference plots at hectometric scales to match space-borne missions' resolution. Traditional …
[HTML][HTML] Identification of citrus trees from unmanned aerial vehicle imagery using convolutional neural networks
Remote sensing is important to precision agriculture and the spatial resolution provided by
Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for …
Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for …
Tree crown detection and delineation in a temperate deciduous forest from UAV RGB imagery using deep learning approaches: Effects of spatial resolution and …
Y Gan, Q Wang, A Iio - Remote Sensing, 2023 - mdpi.com
The automatic detection of tree crowns and estimation of crown areas from remotely sensed
information offer a quick approach for gras** the dynamics of forest ecosystems and are of …
information offer a quick approach for gras** the dynamics of forest ecosystems and are of …
Map** trees along urban street networks with deep learning and street-level imagery
Planning and managing urban forests for livable cities remains a challenge worldwide
owing to sparse information on the spatial distribution, structure and composition of urban …
owing to sparse information on the spatial distribution, structure and composition of urban …
Applying fully convolutional architectures for semantic segmentation of a single tree species in urban environment on high resolution UAV optical imagery
This study proposes and evaluates five deep fully convolutional networks (FCNs) for the
semantic segmentation of a single tree species: SegNet, U-Net, FC-DenseNet, and two …
semantic segmentation of a single tree species: SegNet, U-Net, FC-DenseNet, and two …
Individual tree crown segmentation and classification of 13 tree species using airborne hyperspectral data
Knowledge of the distribution of tree species within a forest is key for multiple economic and
ecological applications. This information is traditionally acquired through time-consuming …
ecological applications. This information is traditionally acquired through time-consuming …
Identifying species from the air: UAVs and the very high resolution challenge for plant conservation
The Pacific Equatorial dry forest of Northern Peru is recognised for its unique endemic
biodiversity. Although highly threatened the forest provides livelihoods and ecosystem …
biodiversity. Although highly threatened the forest provides livelihoods and ecosystem …
[HTML][HTML] 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 …