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)