Xingguang Yan is an emerging researcher in remote sensing and land science, currently pursuing a PhD in cartography and geographic information engineering at the China University of Mining and Technology, Beijing. His work focuses on ecological cloud computing research, leveraging major cloud platforms such as Google Earth Engine, PIE-Engine, Planetary Computer, and AI Earth. Yan has published several papers applying advanced satellite imagery analysis and machine learning to these platforms to study environmental and land dynamics. His research examines the mapping of vegetation, water resources, land use changes, constructing ecological security patterns, and analyzes urbanization in China through geospatial big data analytics. Yan has co-authored publications in leading journals such as 'Remote Sensing', 'Sustainability', and the 'International Journal of Digital Earth'.