Retrieving the Infected Area of Pine Wilt Disease-Disturbed Pine Forests from Medium-Resolution Satellite Images Using the Stochastic Radiative Transfer Theory

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 6; p. 1526
• Main Authors: Li, Xiaoyao, Tong, Tong, Luo, Tao, Wang, Jingxu, Rao, Yueming, Li, Linyuan, Jin, Decai, Wu, Dewei, Huang, Huaguo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2022
• Subjects: Algorithms; China; Coniferous forests; Damage; Disease; Forest management; Forests; Heterogeneity; infected area; Knowledge; Pests; Pine; pine wilt disease; Pinus massoniana; Pinus nigra; plant damage; Radiative transfer; random forest; Remote sensing; Satellite imagery; satellites; Simulation; soil; stochastic radiative transfer; Three dimensional models; tree mortality; Trees; Unmanned aerial vehicles; vascular wilt; Wilt; China

Pine wilt disease (PWD) is a global destructive threat to forests which has been widely spread and has caused severe tree mortality all over the world. It is important to establish an effective method for forest managers to detect the infected area in a large region. Remote sensing is a feasible too...