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Cuizhen (Susan) Wang
Assistant Professor
expertise: Optical/microwave remote sensing, spatial data analysis, canopy radiative transfer modeling, and quantitative estimation of biophysical attributes and soil moisture
office: 10a Stewart Hall
phone: 573-884-0895
email: WangCu@missouri.edu

Education

• M.S., Geography Institute of Remote Sensing Applications, Chinese Academy of Sciences
• Ph.D. Geography, Michigan State University

Expertise

Dr. Wang’s primary research areas are bio-environmental remote sensing, GIS and spatial analysis. Particular interests are in biodiversity, biophysical retrieval, ecosystem and environmental mapping. My past research experience includes Land Use/Land Cover mapping, canopy radiative transfer modeling, and quantitative biophysical estimation (canopy cover, biomass, soil moisture, etc.) with optical and microwave remotely sensed data.

Selected Publications

Zhang Y., C. Wang (corresponding author), J. Wu, J. Qi and W. A. Salas (accepted), Mapping Paddy Rice with Multi-temporal ALOS PALSAR Imagery in Southeast China. International Journal of Remote Sensing. Will be published in 2009.

Wang, C., J. Wu, Y. Zhang, G. Pan, J. Qi and W. A. Salas, (accepted). Characterizing L-band scattering of paddy rice in southeast China with Radiative Transfer Model and multitemporal ALOS/PALSAR imagery. IEEE Transactions on Geoscience and Remote Sensing. Will be published in 2009.

Wang, C., H. S. He, and J. M. Kabrick, 2008. A risk rating study to predict oak decline and recovery in the Missouri Ozark Highlands, USA. GIScience and Remote Sensing, 45 (4): 406 – 425.

Wang, C. and J. Qi, 2008. Biophysical estimation in tropical forests using JERS-1 VNIR and SAR imagery: I - leaf area index. International Journal of Remote Sensing, 29 (23), 6811 – 6826.

Wang, C. and J. Qi, 2008. Biophysical estimation in tropical forests using JERS-1 SAR and VNIR Imagery: II- aboveground woody biomass. International Journal of Remote Sensing, 29 (23): 6827 – 6849.

Wang, C., B. Zhou, and H. L. Palm, 2008. Detecting invasive Sericea Lespedeza (Lespedeza cuneata) in Mid-Missouri pastureland using hyperspectral imagery. Environmental Management, 41(6): 853-862.

Wang, C., and H. S. He, 2008. Detecting post-drought oak decline and recovery in the Mark Twain National Forest, Ozark Highlands, in Droughts: Causes, Effects and Prediction, Javier M. Sánchez (Ed.), Nova Science Publishers, Inc., Hauppauge, NY. ISBN: 978-1-60456-285-9.

Wang, C., Z. Lu, and T. L. Haithcoat. Detecting forest dynamics responding to oak dieback in the Mark Twain National Forest, Missouri. Forest Ecology and Management. 240(1-3): 70-78, 2007.

Wang, C., J. Qi and M. Cochrane, 2005. Assessment of Tropical Forest Degradation with Canopy Fractional Cover from Landsat ETM+ and IKONOS Imagery. Earth Interactions, 9(22), 1-18.

Wang, C., J. Qi, M. S. Moran, and R. Marsett, 2004. Soil Moisture Estimation in Semi-arid Rangeland Using ERS-2 and TM imagery. Remote Sensing of the Environment, 90(2), 178-189.

Qi, J., and C. Wang. 2004. A Microwave/Optical Canopy Scattering Model and its Application in Tropical forests. Chinese Journal of Radio Science. 19(4): 409-417.

Qi, J., C. Wang, and Y. Inoue. 2004. Optical and microwave remote sensing applications in agriculture. Chinese Journal of Radio Science. 19(4): 399-404.

Shao Y., J. Liao, and C. Wang, 2002. Analysis of temporal radar backscatter of rice: a comparison of SAR observations with modeling results. Canadian Journal of Remote Sensing: 28(2): 128-138.

Wang, C. and H. Guo, 2000. Applications of radar polarimetric decomposition in geological classification. Chinese Journal of Remote Sensing: 4(3):219-223.

Liu H., Y. Shao and C. Wang, 1997. Multi-temporal RADARSAT Data for Rice Classification in Zhaoqing, Guangdong Province, Land Resource Remote Sensing: 4:1-6.

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