Faculty & Staff Directory
Cuizhen (Susan) Wang
Department of Geography
University of South Carolina
|Phone Number:||(803) 777-5867||Email:||firstname.lastname@example.org|
|Office:||Callcott, Room 310|
Dr. Wang received a Ph.D. in Photogrammetry and Remote Sensing from the Institute of Remote Sensing Applications at the Chinese Academy of Sciences in 1999 followed by a Ph.D. in Geography from Michigan State University in 2004. She then served as an Assistant and Associate Professor in the Department of Geography at the University of Missouri before joining the University of South Carolina as an Associate Professor in 2013.
Dr. Wang’s primary research areas are bio-environmental remote sensing, GIS and spatial analysis. Particular interests are innovative modeling of optical/radar synergy in biophysical remote sensing, vegetation mapping, environmental stress monitoring and bioenergy. Her past research experience includes Land Use/Land Cover mapping, canopy radiative transfer modeling, and quantitative biophysical estimation with optical and microwave remotely sensed data. The associated field studies include China, Japan, Thailand and the United States. Example applications include weed invasion, drought and oak decline, rice mapping, prairie grassland conservation, alpine grassland (Tibet Plateau) mapping and soil/water quality assessment.
GEOG 345: Interpretation of Aerial Photographs
GEOG 551: Principles of Remote Sensing
GEOG 751: Digital Image Processing
Wang, C, H. Guo, L. Zhang, S. Liu, Y. Qiu and Z. Sun. 2014. Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series. International Journal of Biometeorology, DOI: 10.1007/s00484-014-0817-5.
Inoue, Y., E. Sakaiya, and C. Wang. 2014. Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice. Remote Sensing of Environment 140:257-266.
Wang, C., E. R. Hunt, L. Zhang, and H. Guo, 2013. Spatial distributions of C3 and C4 grass functional types in the U.S. Great Plains and their dependency on inter-annual climate variability. Remote Sensing of Environment 128:90-101.
Wang, C., H. Guo, L. Zhang, Y. Qiu, Z. Sun, J. Liao, G. Liu, and Y. Zhang, 2013. Improved alpine grassland mapping in the Tibetan Plateau with MODIS time series: a phenology perspective. International Journal of Digital Earth. doi:/10.1080/17538947.2013.860198.
Deng, L. and C. Wang, 2013. Improved Building Extraction With Integrated Decomposition of Time-Frequency and Entropy-Alpha Using Polarimetric SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:/10.1109/JSTA.RS.2013.2281594
Wang, C., F.B. Fritschi, G. Stacey, G. and Z. Yang, 2011. Phenolgoy-based assessment of energy crops in North American Tallgrass Prairie. Special Issue “Energy”, Annals of the Association of American Geographers: 101: 742-751.