About RSCROP Core Researchers
teachers Core Researchers
Dong Yingying

Dong Yingying

Yingying Dong: Associate Professor, working in Aerospace Information Research Institute, Chinese Academy of Sciences, Ph.D. The main research areas include remote sensing inversion mechanisms and models of crop physical and chemical parameters, monitoring and early warning mechanisms and methods for the development dynamics of pests and diseases, and the development of an intelligent platform for crop growth and disease monitoring and forecasting.


PhD. Zhejiang University, ChinaRemote Sensing in Agriculture and Information Technology (2009-2013)

MSc. Capital Normal University, ChinaComputational Mathematics (2006-2009)

BSc. Shandong Normal University, ChinaScience in Applied Mathematics (2002-2006)


2020/03-PresentAssociate Professor, Institute of Remote Sensing and Digital Earth of AIRCAS.

2018/07-2020/02Associate Professor, Institute of Remote Sensing and Digital Earth of CAS.

2015/03-2018/06Assistant Research Scientist, Institute of Remote Sensing and Digital Earth of CAS.

2013/03-2015/03Post-Doctoral Fellow, University of Lethbridge.

2010/01-2013/03Visiting PhD Researcher, National Engineering Research Center for Information Technology in Agriculture.

2008/01-2008/06Computer Vision Engineer, Beijing Zhongjie Times Aviation Technology Co., Ltd.


Yingying Dong, Longlong Zhao, Wenjiang Huang. < Monitoring of Desert Locust in Africa and Asia>, Science Press, Springer, Beijing, 2023.01. ISBN: 978-981-19-7238-6.

Yingying Dong, Wenjiang Huang, Yun Geng, Linyi Liu, Huiqin Ma, Anting Guo and Chao Ruan,, Science Press, EDP Sciences, 2022.03. ISBN: 978-2-7598-2659-9.

Yingying Dong, Fang Xu, Linyi Liu, et al. Automatic System for Crop Pest and Disease Dynamic Monitoring and Early Forecasting[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 4410-4418.

Xueling Li, Yingying Dong*, Yining Zhu, et al. Enhanced Leaf Area Index Estimation with CROP-DualGAN Network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, DOI: 10.1109/TGRS.2022.3230354.

Yingxin Xiao, Yingying Dong*, Wenjiang Huang, et al. Regional prediction of Fusarium head blight occurrence in wheat with remote sensing based Susceptible-Exposed-Infectious-Removed model[J]. International Journal of Applied Earth Observations and Geoinformation, 2022, 114: 103043. 

Ruiqi Sun, Wenjiang Huang, Yingying Dong*, et al. Dynamic Forecast of Desert Locust Presence Using Machine Learning with a Multivariate Time Lag Sliding Window Technique[J]. Remote Sensing, 2022, 14(3): 747-767.


Yingying Dong, (2021) Crop Pest and Disease Monitoring and Forecasting. International Engineering and Technology Strategic Forum - Agricultural Sensor and 2021 International Conference on Smart Agriculture, Online, 20th May 2021.

Yingying Dong, (2021) Changes and Trends in the Locust Area during the Thirteenth Five-Year Plan Period. Seminar on Sustainable Control of Locusts hosted by the National Agricultural Technology Extension Service Center, Online, 21th April 2021.

Yingying Dong, (2021) Pests and Diseases Monitoring and Forecasting by Remote Sensing. FALL ARMYWORM IPM--FAW monitoring and forecasting in Southern African countries and China, Online, 3th March 2021.

Yingying Dong, (2021) Global Crop Pest and Disease Habitat Monitoring and Risk Forecasting. Agro-Geoinformatics 2021 Conference, online, February 2021.

Yingying Dong, (2021) Regional monitoring of pest and disease habitats and prediction of occurrence. The Second Remote Sensing Conference on Vegetation Pest and Disease, online, 28-29 August 2021.

Yingying Dong, (2020) Monitoring and assessment of desert locusts in Asia and Africa. The First Remote Sensing Conference on Vegetation Pest and Disease, Online, 29-30 August 2020.

Yingying Dong, (2020) Role of AIR in supporting locust monitoring and assessment using aerospace technologies. Desert locust spatial information monitoring summit, Online, June 2020.

Yingying Dong, (2019) Crop Pest & Disease Monitoring and Forecasting System. United Nations Food and Agriculture Organization agricultural seminar, Roman, Italy, September, 2019.

Yingying Dong, (2018) Integrating EO and environmental information for wheat rust monitoring and forecasting. Wheat rust and wheat growth modelling, March, 2018.

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