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Guofan Shao

Forestry and Natural Resources 

  • Professor of Forest Spatial Analytics
PFEN Room 221B
715 W State St.
West Lafayette, IN 47907

Dr. Guofan Shao's website

Dr. Guofan Shao is a 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.

Research Group - Forest Measurement and Assessment/GIS

Facilities - John S. Wright Center, Forest Informatics and Landscape Monitoring Lab (FILM)

Related Centers - Center for the Environment, Purdue Climate Change Research Center, Purdue Interdisciplinary Center for Ecological Sustainability, Laboratory for Applications of Remote Sensing, Purdue Terrestrial Observation

Awards & Honors

(2017) Excellent Associate Editor. Springer’s Journal of Forestry Research.


Shao, G. Rapid Tree Diameter Computation with Stereoscopic Photogrammetry . U.S. Patent No. D2020-0039. Washington, D.C.: U.S. Patent and Trademark Office.

Selected Publications

Chivoiu, B. C., Shao, G., Moser, J. W., & Mills, W. L. (2006). ArcFVS: An integration of a geographic information system and ForestVegetation Simulator. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 49(1), 35-44. doi:10.1007/s11431-006-8105-1

Li, X., & Shao, G. (2014). A county-scale object-based land-cover mapping in U.S. Midwest region with high resolution aerial photography. Remote Sensing, 6(11), 11372-11390.

Lin, T., & Shao, G. (2014). A Remote-Sensing Assessment of Drought Effects on Vegetation in West Lafayette, IN, the United States. LAB Symposium on BiodiverCities without Boundaries: Science, Policy, and Local Governance.

Wang, Y., Bai, G., Shao, G., & Cao, Y. (2014). An analysis of potential investment returns and their determinants of poplar plantations in state-owned forest enterprises of China. New Forests, 45(2), 251-264.

Zhao, J., Xiao, L., Tang, L., Shi, L., Su, X., Wang, H., . . . Shao, G. (2014). Effects of spatial form on urban commute for major cities in China. International Journal of Sustainable Development & World Ecology, 21(4), 361-368.

Ren, Y., Deng, L., Zuo, S., Luo, Y., Shao, G., Wei, X., . . . Yang, Y. (2014). Geographical modeling of spatial interaction between human activity and forest connectivity in an urban landscape of southeast China. Landscape Ecology, 29(10), 1741-1758.

Shao, G., Bauli, B., Haulton, G., Zollner, P., & Shao, G. (2014). Mapping hardwood forests through a two-stage unsupervised classification by integrating Landsat Thematic Mapper and forest inventory data. Journal of Applied Remote Sensing, 8(1).

Liao, J., Tang, L., Shao, G., Qiu, Q., & Wang, C. (2014). Neighbor decay cellular automata approach for simulating urban expansion based on particle swarm intelligence. International Journal of Geographical Information Science, 28(5), 720-738.

Dai, L., Qi, L., Lewis, B., Shao, G., Yu, D., & Zhou, L. (2014). The design and use of forest management decision support systems in China. In Computer-based Tools for Supporting Forest Management: The Experience and Expertise World-wide (1, 84-94). Austria: Sveriges lantbruksuniversitet.

Shao, G. (2013). Forest Conservation under the Pressure from Timber Shortage and Heavy Human Population. Proceedings of Changbai Mountain International Eco-Forum 2013.

Forestry and Natural Resources, 715 West State Street, West Lafayette, IN 47907-2061 USA, (765) 494-3590

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