[HTML][HTML] Spatial, spectral and temporal insights: harnessing high-resolution satellite remote sensing and artificial intelligence for early monitoring of wood boring pests …

DK Mahanta, TK Bhoi, J Komal, I Samal, A Mastinu - Plant Stress, 2024 - Elsevier
Globally, biotic factors like insect pests and diseases as well as abiotic factors like fire,
windstorms, and droughts influence the global forest ecosystem. Wood-boring pests (WBPs) …

Early monitoring of forest wood-boring pests with remote sensing

Y Luo, H Huang, A Roques - Annual Review of Entomology, 2023 - annualreviews.org
Wood-boring pests (WBPs) pose an enormous threat to global forest ecosystems because
their early stage infestations show no visible symptoms and can result in rapid and …

Early detection of bark beetle attack using remote sensing and machine learning: A review

SM Marvasti-Zadeh, D Goodsman, N Ray… - ACM Computing …, 2023 - dl.acm.org
Bark beetle outbreaks can have serious consequences on forest ecosystem processes,
biodiversity, forest structure and function, and economies. Thus, accurate and timely …

Drone-based early detection of bark beetle infested spruce trees differs in endemic and epidemic populations

A Bozzini, S Brugnaro, G Morgante… - Frontiers in Forests …, 2024 - frontiersin.org
Introduction European forests face increasing threats due to climate change-induced
stressors, which create the perfect conditions for bark beetle outbreaks. The most important …

[HTML][HTML] Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion

Q Lin, H Huang, J Wang, L Chen, H Du… - International Journal of …, 2023 - Elsevier
Pine shoot beetle (PSB) is one of the most damaging forest insects of Yunnan pine
plantations in southwest China. However, the subtle symptoms of heterogeneous tree …

Detection of bark beetle disturbance at tree level using UAS multispectral imagery and deep learning

R Minařík, J Langhammer, T Lendzioch - Remote Sensing, 2021 - mdpi.com
This study aimed to examine the potential of convolutional neural networks (CNNs) for the
detection of individual trees infested by bark beetles in a multispectral high-resolution …

Comparison of deep neural networks in the classification of bark beetle-induced spruce damage using UAS images

E Turkulainen, E Honkavaara, R Näsi, RA Oliveira… - Remote Sensing, 2023 - mdpi.com
The widespread tree mortality caused by the European spruce bark beetle (Ips typographus
L.) is a significant concern for Norway spruce-dominated (Picea abies H. Karst) forests in …

Evaluation of the bark beetle green attack detectability in spruce forest from multitemporal multispectral UAV imagery

S Bijou, L Kupková, M Potůčková… - ISPRS Annals of …, 2023 - isprs-annals.copernicus.org
Forests have always been a major concern for public authorities given their significant role
as a resource for timber production, as well as for climate regulation. The infestation of bark …

[HTML][HTML] Airborne multispectral imagery and deep learning for biosecurity surveillance of invasive forest pests in urban landscapes

AJ Carnegie, H Eslick, P Barber, M Nagel… - Urban Forestry & Urban …, 2023 - Elsevier
Urban and peri-urban trees in major cities provide a gateway for exotic pests and diseases
(hereafter “pests”) to establish and spread into new countries. Consequently, they can be …

Remote sensing of forest insect disturbances: Current state and future directions

C Senf, R Seidl, P Hostert - … journal of applied earth observation and …, 2017 - Elsevier
Insect disturbance are important agents of change in forest ecosystems around the globe,
yet their spatial and temporal distribution and dynamics are not well understood. Remote …