Guangxing Wang

Guangxing Wang is a Professor in Remote Sensing and GIS at Southern Illinois University Carbondale's Department of Geography and Environmental Resources. His research focuses on integrating geospatial technologies with environmental monitoring, particularly in carbon sequestration modeling, vegetation disturbance analysis, and terrain-based hydrology studies.

• Ph.D., Remote Sensing of Forest Resources, University of Helsinki (1996)
• M.Sc., Forest Biometrics, Central South University of Forestry and Technology, China (1985)
• B.S., Forestry, Central South University of Forestry and Technology, China (1982)

His work emphasizes spatial statistics, sampling design optimization, and quality assessment of remote sensing/GIS products. Key applications include desertification monitoring, wetland classification, and military land condition analysis using LiDAR and satellite data.

Recent publications highlight advancements in deep learning for drainage crossing detection (2023-2025), spectral unmixing techniques (2025), and enhanced carbon density mapping methodologies (2024). Earlier works (2015-2021) established foundational frameworks for forest biomass estimation and soil moisture modeling.

• Grants: PI for UAS vegetation mapping (2018-2022, $185,969); Permafrost monitoring in Alaska (2017-2020, $159,489)
• Courses Taught: Introduction to GIS, Advanced Remote Sensing, Spatial Analysis, Cartographic Design