Chris Barber is interested in the application of remotely sensing biophysical parameters from the earth's surface for the monitoring of ecological processes. Chris' previous graduate work explored the differences in model selection, vegetation indexes, and sensor platform in using temperature/VI relationships to assess forest water status for wildland fire risk assessment. Previous work also includes landcover mapping & analysis with Landsat TM and development of cellular automata models for forecasting landcover change. He previously held a Research Assistant postion with the Center for Global Change and Earth Observation at Michigan State University. Chris' educational background includes a B.S. in Environmental Studies from the Richard Stockton College of New Jersey and an M.S. in Forestry from Michigan State University. He is currently working towards a Ph.D. in Geographic Information Science & Engineering at SDSU.