Guangxing Wang | Geography Faculty | SIU

Southern Illinois University



College of Liberal Arts

Guangxing Wang

Professor, Remote Sensing and GIS

Guangxing Wang


Phone: (618) 453-6017

Office: 4442 Faner Hall

Scholar Profile

CV (pdf)

Dr. Wang's research interests include remote sensing, GIS, spatial statistics and their applications to geography, natural and environmental resources with the specific areas: sampling design strategies; human activity and natural disaster induced vegetation disturbance and soil erosion, environmental quality assessment; forest and city vegetation carbon sequestration modeling and mapping; wetland classification and dynamics monitoring; desertification trend monitoring; quality assessment and spatial uncertainty analysis of remote sensing and GIS products.


Ph.D. Remote Sensing of Forest Resources, University of Helsinki, Finland, 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

Selection of Courses Taught

  • GEOG 401: Introduction to GIS
  • GEOG 404: Spatial Analysis
  • GEOG 406: Intro to Remote Sensing
  • GEOG 408: Advanced Remote Sensing
  • GEOG 416: Cartographic Design
  • GEOG 490: Reading in Geography
  • GEOG 501: Seminars in Geography and Environmental Research

Recent Publications

Lu, D., Q. Chen, G. Wang, L. Liu, and E. Moran. 2016. A Survey of Remote Sensing-Based Aboveground Biomass Estimation Methods. International Journal of Digital earth, 9(1), 63-105.

Sun, H., G. Qie, G. Wang, Y. Tan, J. Li, Y. Peng, Z. Ma and C. Luo. 2015. Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral Unmixing Analysis. Remote Sensing 2015, 7, 15114-15139; doi:10.3390/ rs71115114.

Sun, H., G. Wang, H. Lin, J. Li, H. Zhang, H. Ju. 2015. Retrieval and accuracy assessment of stand parameters for Chinese fir plantations using terrestrial Laser Scanning. IEEE Geoscience and Remote Sensing Letters VOL. 12, NO. 9, SEPTEMBER 2015.

Yan, E., H. Lin, G. Wang, and H. Sun. 2015. Improvement of forest carbon estimation by integration of regression modeling and spectral unmixing of Landsat data. Transactions on geoscience and Remote Sensing Letters, VOL. 12, NO. 9, SEPTEMBER 2015 2003。

Wang, G., Murphy, D., Oller, A., Howard, H.R., Anderson, A.B., Rijal, S., Myers, N.R., and Philip Woodford. 2014. Spatial and temporal assessment of cumulative disturbance impacts due to military training, burning, haying and their interactions on land condition of Fort Riley. Environmental Management, 54(1), 51-66.

Fleming, A. G. Wang, R. McRoberts. 2014. Comparison of methods toward multi-scale forest carbon mapping and spatial uncertainty analysis: combining national forest inventory plot data and landsat TM images. European Journal of Forest Research, DOI 10.1007/s10342-014-0838-y.

Recent Grants

PI: Shenzhen City vegetation carbon modeling. XianHu Botanic Garden of Shenzhen, China, RMB¥370,000 Yuan (about US$57,800), 01/01/2014 – 12/31/2015 (summers).

PI: Annual monitoring model of desertification trend based on remote sensing and ground observation for Beijing-Tianjin sandstorm source control area. State Forestry Administration of China, RMB¥250,000 Yuan (about US$41,000), 01/01/2014 – 12/31/2015 (summers).

Dr Wang