Computational Models for the Management of Landscape Character
As our values evolve and the world changes, we sometimes face problems of increasing complexity where status quo solutions are no longer acceptable or applicable. Computational and geospatial models provide an opportunity to investigate new ideas amidst an uncertain future, and to help us more fully understand potential effects and explore alternative solutions. I will present a geospatial model that is aimed toward managing scenic resources and landscape quality in order to better plan for resource management an energy infrastructure projects where landscape quality is of vital public interest. The talk will highlight several projects and showcase how the methods have been used in forest management and ecosystem services assessment. Additional topics of interest will include 3D geovizualization and prototype artificial intelligence applications toward spatial planning in visually sensitive landscapes.
Brent Chamberlain is an Assistant Professor at Kansas State University in the Department of Landscape Architecture & Regional and Community Planning. He was previously a Postdoctoral Fellow in Computational Sustainability at the University of British Columbia (UBC) within the Institute for Resources, Environment and Sustainability and Department of Computer Science. He has a Ph.D. and M.Sc. from the Faculty of Forestry at UBC and holds Bachelors degrees in Business Administration and Computer Science from Pacific Lutheran University. He has published works in IEEE Transactions in Computers and Landscape and Urban Planning, is a regular reviewer for computer and environmental journals, and was a recipient of the Alexander Graham Bell Canada Graduate Scholarship from the National Science and Engineering Research Council of Canada for his Ph.D. research. Dr. Chamberlain teaches Environmental Landscape Planning and Design.