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Cuizhen Wang Assistant Professor |
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Ph.D., Geography, Michigan State University |
Emphasis: bio-environmental remote sensing, GIS and spatial analysis. |
Current research interests: innovative modeling of optical/radar synergy in biophysical remote sensing, vegetation mapping and environmental stress monitoring. Example applications include studies in forest biophysical qantification, weed invasion, drought and oak decline, rice mapping, prairie grassland conservation, and bioenergy. |
Representative publications: •Wang, C., Jamison, B., and Spicci A (accepted). Trajectory-based warm season grass mapping in Missouri prairies with multi-temporal ASTER imagery. Will be published in Remote Sensing of Environment.
•Wang, C., D. J. Bentivegna, R. J. Smeda, and R. E. Swanigan (accepted). Comparing multispectral and hyperspectral classifiers for mapping cut-leaved teasel in highway environments, will be published in Photogrammetric Engineering and Remote Sensing (PE&RS).
•Zhang Y., C. Wang, J. Wu, J. Qi and W. A. Salas (in press), 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, 2009. 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. 47 (4): 988-998.
•Wang, C., 2009 (invited). Rice mapping using multi-temporal ALOS PALSAR imagery in Monsoon Asia, 9 April, SPIE newsroom, DOI: 10.1117/2.1200903.1586.
•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, Environment 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. 291-306.
•Wang, C., Z. Lu, and T. L. Haithcoat, 2007. Using Landsat images to detecting forest dynamics responding to oak dieback in the Mark Twain National Forest, Missouri. Forest Ecology and Management. 240(1-3): 70-78.
•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 Environment, 90(2), 178-189.
•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.
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