Zhuoqing Hao （Ph.D.）

SEX: Female 

NATIONALITY:  China

PRESENT POSITION: Ph.D. student

DATE OF BIRTH: 15th August 1998

CONTRACT  DETAILS 

Address: Aerospace Information Research Institute, Chinese Academy of Sciences 

No.9 Dengzhuang South Road, Haidian District, Beijing 100094, P.R.China.

Email: haozhuoqing20@mails.ucas.ac.cn 

Tel:

Mobile: 13051397866

Fax:

ACADEMIC AND PROFESSIONAL INTERESTS

（Main research interests or main skills）

Hao Zhuoqing, Ph.D. student, studying in Aerospace Information Innovation Research Institute, Chinese Academy of Sciences. The main research interests cover prediction of pine wilt disease. The major analysis softwares used contain ENVI image analysis systems, ESRI ArcGIS analysis softwares, SPSS statistical analysis softwares.

ACADEMIC QUALIFICATIONS

APPOINTMENTS

PUBLICATIONS

Hao Z, Fang G, Huang W, Ye H, Zhang B, Li X. Risk Prediction and Variable Analysis of Pine Wilt Disease by a Maximum Entropy Model[J]. Forests, 2022, 13(2): 342.

Hao Z, Huang J, Li X, Sun H, Fang G. A multi-point aggregation trend of the outbreak of pine wilt disease in China over the past 20 years[J]. Forest Ecology and Management, 2022, 505: 119890.

Hao Z, Huang J, Zhou Y, Fang G. Spatiotemporal pattern of pine wilt disease in the Yangtze river basin[J]. Forests, 2021, 12(6): 731.

Guo J, Lu L, Dong Y, Huang W, Zhang B, Du B, Ding C, Ye H, Wang K, Huang Y, Hao Z, Zhao M, Wang N. Spatiotemporal Distribution and Main Influencing Factors of Grasshopper Potential Habitats in Two Steppe Types of Inner Mongolia, China[J]. Remote Sensing, 2023, 15(3): 866.

Zhang B, Ye H, Lu W, Huang W, Wu B, Hao Z, Sun H. A spatiotemporal change detection method for monitoring pine wilt disease in a complex landscape using high-resolution remote sensing imagery[J]. Remote Sensing, 2021, 13(11): 2083.