UAV-based forest health monitoring: A systematic review

S Ecke, J Dempewolf, J Frey, A Schwaller, E Endres… - Remote Sensing, 2022 - mdpi.com
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 …

Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

D Yin, L Wang - Remote Sensing of Environment, 2019 - Elsevier
Individual mangrove tree parameters are necessary for the efficient management and
protection of this unique ecosystem, but to measure them using remote sensing (RS) is still a …

[HTML][HTML] A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level

R Yu, Y Luo, Q Zhou, X Zhang, D Wu, L Ren - International Journal of …, 2021 - Elsevier
Pine wilt disease (PWD) is a global destructive threat to forests, having caused extreme
damage in China. Therefore, the establishment of an effective method to accurately monitor …

[HTML][HTML] Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging

Y Shendryk, J Sofonia, R Garrard, Y Rist… - International Journal of …, 2020 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) platforms and associated sensing technologies
are extensively utilized in precision agriculture. Using LiDAR and imaging sensors mounted …

Using remote sensing to characterize riparian vegetation: A review of available tools and perspectives for managers

L Huylenbroeck, M Laslier, S Dufour, B Georges… - Journal of environmental …, 2020 - Elsevier
Riparian vegetation is a central component of the hydrosystem. As such, it is often subject to
management practices that aim to influence its ecological, hydraulic or hydrological …

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 …

Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training …

B Fang, Y Li, H Zhang, JCW Chan - ISPRS Journal of Photogrammetry and …, 2020 - Elsevier
Deep learning provides excellent potentials for hyperspectral images (HSIs) classification,
but it is infamous for requiring large amount of labeled samples while the collection of high …

[HTML][HTML] Early detection of pine wilt disease in Pinus tabuliformis in North China using a field portable spectrometer and UAV-based hyperspectral imagery

R Yu, L Ren, Y Luo - Forest Ecosystems, 2021 - Elsevier
Background: Pine wilt disease (PWD) is a major ecological concern in China that has
caused severe damage to millions of Chinese pines (Pinus tabulaeformis). To control the …

Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques

R Meng, J Wu, F Zhao, BD Cook, RP Hanavan… - Remote Sensing of …, 2018 - Elsevier
Understanding post-fire forest recovery is pivotal to the study of forest dynamics and global
carbon cycle. Field-based studies indicated a convex response of forest recovery rate to …

The role of remote sensing for the assessment and monitoring of forest health: A systematic evidence synthesis

P Torres, M Rodes-Blanco, A Viana-Soto, H Nieto… - Forests, 2021 - mdpi.com
Forests are increasingly subject to a number of disturbances that can adversely influence
their health. Remote sensing offers an efficient alternative for assessing and monitoring …