Deep learning in forestry using uav-acquired rgb data: A practical review

Y Diez, S Kentsch, M Fukuda, MLL Caceres… - Remote Sensing, 2021 - mdpi.com
Forests are the planet's main CO 2 filtering agent as well as important economical,
environmental and social assets. Climate change is exerting an increased stress, resulting …

A systematic review of individual tree crown detection and delineation with convolutional neural networks (CNN)

H Zhao, J Morgenroth, G Pearse, J Schindler - Current Forestry Reports, 2023 - Springer
Abstract Purpose of Review Crown detection and measurement at the individual tree level
provide detailed information for accurate forest management. To efficiently acquire such …

Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)

Z Hao, L Lin, CJ Post, EA Mikhailova, M Li… - ISPRS Journal of …, 2021 - Elsevier
Tree-crown and height are primary tree measurements in forest inventory. Convolutional
neural networks (CNNs) are a class of neural networks, which can be used in forest …

Individual tree-crown detection and species identification in heterogeneous forests using aerial RGB imagery and deep learning

M Beloiu, L Heinzmann, N Rehush, A Gessler… - Remote Sensing, 2023 - mdpi.com
Automatic identification and mapping of tree species is an essential task in forestry and
conservation. However, applications that can geolocate individual trees and identify their …

Multi-species individual tree segmentation and identification based on improved mask R-CNN and UAV imagery in mixed forests

C Zhang, J Zhou, H Wang, T Tan, M Cui, Z Huang… - Remote Sensing, 2022 - mdpi.com
High-resolution UAV imagery paired with a convolutional neural network approach offers
significant advantages in accurately measuring forestry ecosystems. Despite numerous …

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 grasping the dynamics of forest ecosystems and are of …

Detection of standing dead trees after pine wilt disease outbreak with airborne remote sensing imagery by multi-scale spatial attention deep learning and Gaussian …

Z Han, W Hu, S Peng, H Lin, J Zhang, J Zhou, P Wang… - Remote Sensing, 2022 - mdpi.com
The continuous and extensive pinewood nematode disease has seriously threatened the
sustainable development of forestry in China. At present, many studies have used high …

Joint task offloading, resource allocation, and security assurance for mobile edge computing-enabled UAV-assisted VANETs

Y He, D Zhai, F Huang, D Wang, X Tang, R Zhang - Remote Sensing, 2021 - mdpi.com
In this paper, we propose a mobile edge computing (MEC)-enabled unmanned aerial
vehicle (UAV)-assisted vehicular ad hoc network (VANET) architecture, based on which a …

[HTML][HTML] Towards complete tree crown delineation by instance segmentation with Mask R–CNN and DETR using UAV-based multispectral imagery and lidar data

S Dersch, A Schoettl, P Krzystek, M Heurich - ISPRS Open Journal of …, 2023 - Elsevier
Precise single tree delineation allows for a more reliable determination of essential
parameters such as tree species, height and vitality. Methods of instance segmentation are …

Tree Detection and Species Classification in a Mixed Species Forest Using Unoccupied Aircraft System (UAS) RGB and Multispectral Imagery

P Sivanandam, A Lucieer - Remote Sensing, 2022 - mdpi.com
Information on tree species and changes in forest composition is necessary to understand
species-specific responses to change, and to develop conservation strategies. Remote …