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Changshan Wu

Professor
 (414) 229-4860
 Bolton Hall 482

Web Site: www.uwm.edu/~cswu

Education

PhD, Geography, The Ohio State University, 2003
MS, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 1999
BS, Urban and Environmental Sciense, Peking University, China, 1995

Office Hours

M 11:00 am – 12:00 pm

Courses Taught

Geog 403 – Remote Sensing: Environmental and Land Use Analysis Syllabus
Geog 430 – Geography of Transportation Syllabus
Geog 525 – Geographic Information Science Syllabus
Geog 547 – Spatial Analysis Syllabus
Geog 625 – Intermediate Geographic Information Science Syllabus
Geog 725 – Advanced Geographic Information Science: Geographic Modeling Syllabus
Geog 750 – Remote Sensing and Urban Analysis Syllabus

Research Interests

I am a broadly trained geographer with substantive interests in remote sensing, geographic information science, spatial analysis, and their applications in urban environments. Specially, my research focuses on two aspects: 1) remote sensing image analysis and applications, especially for urban impervious surface and population estimation, as well as urban growth modeling, and 2) spatial analysis and modeling, and their applications in housing market analysis, public health, and transportation studies.

One emphasis of my research is to develop innovative methods for better extracting urban biophysical and socio-economic information, and applying the derived information for planning and management of urban and natural environments. Especially, my research in the urban remote sensing field includes 1) urban imperviousness estimation, in particular using the spectral mixture analysis method, 2) small area population interpolation and estimation using high-resolution remote sensing and GIS dataset, and 3) urban growth monitoring and modeling using spatial modeling techniques. In addition to remote sensing and urban analysis, my other research area involves GIS and spatial modeling (spatial optimization, spatial statistics, etc.) and their applications in housing market analysis, public health, and transportation studies.

Representative Publications

Yingbin, D., & Wu, C. RNDSI: a ratio normalized difference soil index for remote sensing of urban/suburban environments, International Journal of Applied Earth Observation and Geoinformation. International Journal of Applied Earth Observation and Geoinformation, Forthcoming.
Rybarcyzk, G., & Wu, C. (2014). Examining the impact of urban morphology on bicycle mode choice. Environmental and Planning B, 41(2), 272-288.
Wu, C., Deng, C., & Jia, X. (2014). Spatially-constrained multiple endmember spectral mixture analysis for quantifying sub-pixel urban impervious surfaces. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 7(6), 1976-1984.
Li, W., & Wu, C. (2014). Phenology based temporal mixture analysis for estimating large scale impervious surface distribution. International Journal of Remote Sensing, 35(2), 779-795.
Deng, C., & Wu, C. (2013, June). A spatially adaptive spectral mixture analysis method for mapping subpixel impervious surface distribution. Remote Sensing of Environment, 133, 62-70.
Wu, C. (2004). Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery. Remote Sensing of Environment, 93(4), 480-492.
Wu, C., & Murray, A. (2003). Estimating impervious surface distribution by spectral mixture analysis. Remote sensing of Environment, 84(4), 493-505.