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

• Published in: International journal of applied earth observation and geoinformation Vol. 125; p. 103549
• Main Authors: Lin, Qinan, Huang, Huaguo, Wang, Jingxu, Chen, Ling, Du, Huaqiang, Zhou, Guomo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2023; Elsevier
• Subjects: algorithms; anthocyanins; carotenoids; China; chlorophyll; Coleoptera; data collection; Data fusion; Early detection; fluorescence; forests; insects; lidar; photochemistry; Pine shoot beetle; Pinus yunnanensis; Plant traits; radiative transfer; reflectance; spatial data; temperature; thermography; tree damage; trees; unmanned aerial vehicles; Vegetation indices; China; Data fusion; Pine shoot beetle; Plant traits; Vegetation indices; Early detection

•A voxelization method was developed to fuse UAV-based multisensor data.•Quantifying 3D spatial distribution of PTs and VIs using fused UAV-based multisensor data.•Vertical profile of PTs and VIs has significant difference between different severity levels of trees.•Improved performance of tree seve...