Based on the 2019 occurrence data of pine wood nematode disease and combined with multi-source remote sensing data,the Maxent maximum entropy model was used to obtain predictive data for the areas affected by pine wood nematode disease in Yichang City,Hubei Province.

Hao Z,Fang G,Huang W,et al. Risk prediction and variable analysis of pine wilt disease by a maximum entropy model[J]. Forests,2022,13(2):342.                                     

Product Manager                                               

Biyao Zhang,Ph.D.

Assistant Researcher

Aerospace Information Research Institute of the Chinese Academy of Sciences

Dr. Biyao Zhang primarily engages in the production of medium and high-resolution vegetation parameter products and the monitoring and early warning of forest and grassland biological disasters. He has led seven research projects funded by the National Natural Science Foundation of China,the Hainan Provincial Natural Science Foundation,and commissions from the National Forestry and Grassland Administration. Dr. Zhang has published over 30 SCI papers,co-authored one monograph,and received the Beijing Science and Technology Progress Award,the Liangxi Forestry Science and Technology Award,and the China Remote Sensing Excellent Achievement Award. His research results have been adopted five times by the National Forestry and Grassland Administration and other provincial and ministerial departments.

Contact: Biyao Zhang18810596901