Ziheng Sun, PhD

Research Assistant Professor

College of Science

Other Positions:

Research Assistant Professor

Research Theme:

Digital Technologies - Inventing new algorithms, digital techniques, and technologies

Key Interests:

Agricultural Remote Sensing, Geospatial Cyberinfrastructure, Land Cover Classification, Scientific Workflow


PhD, Photogrammetry and Remote Sensing, Wuhan University

Research Focus

I am a practitioner of using the latest technologies such as machine learning and high- performance computing to seek answers to Earth scientific questions. He has invented RSSI, a novel index for recognizing artificial objects from high resolution aerial images, and proposed parameterless automatic classification solution for reducing the parameter-tuning burden on scientists. He has successfully used long short-term memory to learn the seasonal changes to better recognize crops from remote sensing images. He has a lot of experiences on building web-based geospatial information systems for better disseminating, processing, visualizing, and understanding spatial big data.

Current Projects

■ Collaborative Research: GI Catalytick Track: Cyberinfrastructure for Intelligent High-Resolution Snow Cover Inference from Cubesat Imagery, National Science Foundation

Select Publications

Z. Sun et al.,. Deep learning classification for crop types in North Dakota. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020).

Z. Sun et al., Geoweaver: Advanced cyberinfrastructure for managing hybrid geoscientific AI workflows. ISPRS International Journal of Geo-Information 9(2), 119 (2020).

Z. Sun et al.,Advanced cyberinfrastructure for intercomparison and validation of climate models. Environmental Modelling & Software 123, 104559 (2020).


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College of Science

Contact Ziheng:

Email: zsun@gmu.edu

LinkedIn: N/A