Changshan WuChangshan Wu


Department Chair

Office: Bolton Hall, Room 482
Phone: 414-229-4860
Fax: 414-229-3981
Web Site:
Curriculum Vitae: pdf (46kb)

Mailing Address:

Professor Changshan Wu
Department of Geography
University of Wisconsin-Milwaukee
P.O. Box 413
Milwaukee, WI 53201


Ph.D., Geography, The Ohio State University, 2003
M.S., Institute of Remote Sensing Applications, Chinese Academy of Sciences, 1999
B.S., Urban and Environmental Sciense, Peking University, China, 1995

Courses Taught:

Geog 403: Remote Sensing: Environmental and Land Use Analysis - Syllabus (25kb)
Geog 430: Geography of Transportation - Syllabus (84 kb)
Geog 525: Geographic Information Science - Syllabus (80kb)
Geog 547: Spatial Analysis - Syllabus (23kb)
Geog 625: Intermediate Geographic Information Science - Syllabus (25kb)
Geog 725: Advanced Geographic Information Science: Geographic Modeling - Syllabus (78kb)
Geog 750: Remote Sensing and Urban Analysis - Syllabus (22kb)

Office Hours:

M 11:00 am – 12:00 pm

Research and Teaching Interests:

My research interests focus on remote sensing, geographic information sciences (GIS), spatial analysis and modeling, and their applications in urban areas. One of my research areas is urban impervious surface and population estimation using remote sensing and GIS technologies. Other research areas include population estimation, housing market modeling, transportation analysis, and urban growth analyses.


Rybarcyzk, Greg, and Wu, Changshan. “Examining the impact of urban morphology on bicycle mode choice.” Environmental and Planning B 41.2 (2014): 272-288.
Wu, Changshan, Deng, Chenbing, and Jia, Xiuping. “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 (2014): 1976-1984.
Li, W., and Wu, Changshan. “Phenology based temporal mixture analysis for estimating large scale impervious surface distribution.” International Journal of Remote Sensing 35.2 (2014): 779-795.
Deng, C., and Wu, Changshan. “A spatially adaptive spectral mixture analysis method for mapping subpixel impervious surface distribution.” Remote Sensing of Environment 133. (2013): 62-70.
Wu, Changshan. “Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery.” Remote Sensing of Environment 93.4 (2004): 480-492.
Wu, Changshan, and Murray, A. T. “Estimating impervious surface distribution by spectral mixture analysis.” Remote sensing of Environment 84.4 (2003): 493-505.