Jing Guo （Ph.D.）

SEX: Female 

NATIONALITY:  China

PRESENT POSITION:  Ph.D. candidate

DATE OF BIRTH: 7th  August 1999

CONTRACT  DETAILS 

Address: Aerospace Information Research Institute, Chinese Academy of Sciences 

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

Email: guojing211@mails.ucas.ac.cn 

Tel: 

Mobile: 18847653503

Fax: 

ACADEMIC AND PROFESSIONAL INTERESTS

（Main research interests or main skills）

Jing Guo: Ph.D. candidate, studying in Aerospace Information Research Institute, Chinese Academy of Sciences, Ph.D. The main research interests cover Remote Sensing of Vegetation Disease and pest Monitoring and Forecasting, Quantitative estimation of vegetation variables and diseases using multi-platform remote sensing data; Land use/cover change detection; Study on variable fertilization in precision agriculture using remote sensing technology. Proficiency in Python, C, C# and other programming languages. The major analysis softwares used contain ERDAS Imagine, & ENVI image analysis systems, ESRI ArcGIS analysis softwares, SPSS/Splus statistical analysis softwares.

ACADEMIC QUALIFICATIONS

PhD. Institute of Aerospace, The Chinese Academy of Sciences, China Remote sensing; Vegetation Disease and pest Monitoring and Forecasting, including agriculture, pasture and so on. 

BSc.. Yunnan  University, China

Geography Information Science

APPOINTMENTS

2021Present Ph.D. candidate

PUBLICATIONS

[1]Guo, J.; Zhao, L.; Huang,W.; Dong, Y.; Geng, Y. Study on the Forming Mechanism of the High-Density Spot of Locust Coupled with Habitat Dynamic Changes and Meteorological Conditions Based on Time-Series Remote Sensing Images. Agronomy 2022, 12, 1610. https:// doi.org/10.3390/agronomy12071610. (SCI)

[2]Guo, J.; Lu, L.; Dong, Y.; Huang, W.; Zhang, B.; Du, B.; Ding, C.; Ye, H.; Wang, K.; Huang, Y.; et al. Spatiotemporal Distribution and Main Influencing Factors of Grasshopper Potential Habitats in Two Steppe Types of Inner Mongolia, China. Remote Sens. 2023, 15, 866. https://doi.org/10.3390/rs15030866. (SCI)

Du, B.; Ding, X.; Ji, C.; Lin,K.; Guo, J.; Lu, L.; Dong, Y.; Huang, W.; Wang, N. Estimating Leymus chinensis Loss Caused by Oedaleus decorus asiaticus Using an Unmanned Aerial Vehicle (UAV). Remote Sens. 2023, 15, 4352. https://doi.org/10.3390/rs15174352 (SCI)