Professor Changshan Wu obtained hisBSc in Urban and Environmental Science from Peking University in China in 1995. His MSc was from Institute of Remote Sensing Applications, Chinese Academy of Sciences in 1999. He obtained his PhD in Geography, The Ohio State University in 2003. He is a broadly trained geographer with substantive interests in remote sensing, geographic information science, spatial analysis, and their applications in urban environments. Specially, his 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 his 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, his 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. The other research area of him is involved in GIS and spatial modeling (spatial optimization, spatial statistics, etc.) and their applications in housing market analysis, public health, and transportation studies.