Dr. Guofan Shao is associate professor of the Department of Forestry and Natural Resources (FNR) at Purdue University. Dr. Shao received his PhD in ecology from Chinese Academy of Sciences in 1989, received his post-doctorial education from the Department of Environmental Sciences, University of Virginia between 1991 and 1994, and received professional trainings in remote sensing and GIS technologies from world-geospatial leaders, such as ESRI and ERDAS, in the 1980-1990s. Dr. Shao is the Director of Forest Informatics and Landscape Monitoring (FILM) Laboratory at the Department of Forestry and Natural Resources, Purdue University, and also serves at the Laboratory for Application of Remote Sensing (LARS) at Purdue University. Dr. Shao teaches Digital Remote Sensing and GIS (FNR 558), Fundamental Remote Sensing (FNR 357), and Forest Resources Practicum (FNR 330). Dr. Shao is adjunct research professor at two institutes of Chinese Academy of Sciences, and is honorary dean of Jilin Changbai Mountain Academy of Sciences.
Dr. Shao’s overall research interest is digital forestry technologies (DFT), including remote sensing, geographic information systems (GIS), forest modeling, and forestry decision-support systems (DSS). Shao applies DFT in better understanding forest landscape changes and sustaining the management of forest resources. Dr. Shao is especially interested in developing algorithms for accurate land use and land cover mapping with remote sensing, developing web-based GIS protocols for land use analysis and forest conservation, developing applicable forest simulation models for forestry professionals, and developing user-friendly forestry DSS for assisting forestry decision making. Dr. Shao is conducting research projects for the temperate forest ecosystems in the Midwest of the United States and northeastern China. Dr. Shao has published over a hundred scholarly works. His book, “Forest Dynamics Modeling”, is one of few forestry books that have received national-level awards in China. His journal publications, such as that published in Science, have been widely cited. His new book, titled Computer Applications in Sustainable Forest Management, represents his interdisciplinary strength and collaborative achievement.
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