Detection of Pine Shoot Beetle (PSB) Stress on Pine Forests at Individual Tree Level using UAV-Based Hyperspectral Imagery and Lidar

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 21; p. 2540
• Main Authors: Lin, Qinan, Huang, Huaguo, Wang, Jingxu, Huang, Kan, Liu, Yangyang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2019
• Subjects: Airborne sensing; Algorithms; Beetles; China; Chlorophyll; Coniferous forests; Damage assessment; data collection; Data integration; Dead wood; forest health; Forests; Health promotion; hyperspectral imagery; Hyperspectral imaging; Insects; Lasers; leaf chlorophyll content; Lidar; Mapping; monitoring; Pest outbreaks; Pine; pine shoot beetles; Pinus yunnanensis; Radiative transfer; random forest; Remote sensing; Shadows; shoot damage ratio; Three dimensional models; Tomicus; tree crown; Trees; unmanned aerial vehicles; Urban areas; China

In recent years, the outbreak of the pine shoot beetle (PSB), Tomicus spp., has caused serious shoots damage and the death of millions of trees in Yunnan pine forests in southwestern China. It is urgent to develop a convincing approach to accurately assess the shoot damage ratio (SDR) for monitoring...