معرفی
Prof. Yong Xue is a faculty member in the College of Science and Engineering, specializing in remote sensing and environmental science. His work focuses on developing advanced algorithms for atmospheric and environmental monitoring using satellite data.
Research interests include aerosol optical depth retrieval, air pollution dynamics, machine learning applications in remote sensing, and geospatial data analysis. He has contributed to methodologies for satellite-based air quality estimation, dust storm detection, and pandemic decision support systems.
Key contributions include:
- Development of aerosol retrieval algorithms for multiple satellite platforms (Himawari-8, MSG, GOES-16)
- Integration of deep learning for minimally supervised image classification
- High-performance computing frameworks for geospatial data processing
- Environmental modeling for air pollution transmission and public health impact analysis
Notable achievements include the creation of global hourly aerosol datasets and diagnostic models for pandemic risk assessment. His work bridges computational methods with environmental science, emphasizing real-world applications in pollution monitoring and Earth observation.
