Publications

Selected Journal Publications (one per year, emphasizing remote sensing, modeling, forestry, and climate change)

Chandrasekaran, A., G.F. Shao, S.L. Fei, Z. Miller, J. Hupy. 2022. Automated inventory of broadleaf tree plantations with UAS imagery. Remote Sensing 14: 1931.

Shao, G.F., L.N. Tang, and H. Zhang. 2021. Introducing Image Classification Efficacies. IEEE Access 9: 134809-134816

Eliopoulos, N.J., Y.Z. Shen, M.L. Nguyen, V. Arora, Y.X. Zhang, G.F. Shao, K. Woeste, and Y.-H. Lu. 2020. Rapid tree diameter computation with terrestrial stereoscopic photogrammetry. Journal of Forestry 118(4): 355-361. https://doi.org/10.1093/jofore/fvaa009

Shao, G.F., L.N. Tang, and J.F. Liao. 2019. Overselling overall map accuracy misinforms about research reliability. Landscape Ecology 34(11): 2487–2492. https://doi.org/10.1007/s10980-019-00916-6

Dai, L.M., S.L. Li, W.M. Zhou, L. Qi, L. Zhou, Y.W. Wei, J.Q. Li, G.F. Shao, and D.P. Yu. 2018. Opportunities and challenges for the protection and ecological functions promotion of natural forests in China. Forest Ecology and Management 410:187–192. https://doi.org/10.1016/j.foreco.2017.09.044

Song, Y., G.F. Shao, X.D. Song, Y. Liu, L. Pan, and H. Ye 2017. The relationships between urban form and urban commuting: An empirical study in China. Sustainability 9, 1150. DOI:10.3390/su9071150

Hua, L.Z. and G.F. Shao. 2017. The progress of operational forest fire monitoring with infrared remote sensing. Journal of Forestry Research 28(2): 215–229. https://doi.org/10.1007/s11676-016-0361-8

Tang, L.N., L.M. Gui, G.F. Shao, L.Y. Wang, and L.Y. Shi. 2016. Practice and research progress on ecosystem conservation in trans-boundary areas. Chinese Geographical Science. 26(1): 109–116.   doi: 10.1007/s11769-015-0761-2

Tang, L.N. and G.F. Shao. 2015. Drone remote sensing for forestry research and practices: a review. Journal of Forestry Research 26(4):791–797. DOI 10.1007/s11676-015-0088-y

Shao, G., B.P. Pauli, G.S. Haulton, P.A. Zollner, and G.F. Shao. 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): 083546 doi:  10.1117/1.JRS.8.083546

Wang, X.C., G.F. Shao, H. Chen, B.J. Lewis, G. Qi, D.P. Yu, L. Zhou, and L.M. Dai. 2013. An application of remote sensing data in mapping landscape-level forest biomass for monitoring the effectiveness of forest policies in northeastern China. Environmental Management 52(3): 612–620

Tang, L.N., X.D. Su, G.F. Shao, H Zhang, and J.Z. Zhao. 2012. A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China. Environmental Modelling & Software 38: 122–128

Shao, G.F., L.M. Dai, J.S. Dukes, R.B. Jackson, L.N. Tang, and J.Z. Zhao. 2011. Increasing forest carbon sequestration through cooperation and shared strategies between China and the United States. Environ. Sci. Technol. 45: 2033–2034

Tang, L.N., G.F. Shao, , Z.J. Piao, L.M. Dai, M.A. Jenkins, S.X. Wang, G. Wu, J.G. Wu, J.Z. Zhao. 2010. Forest degradation deepens around and within protected areas in East Asia. Biological Conservation 143: 1295–1298

Tang, L.N., G.F. Shao, and L.M. Dai. 2009. Roles of digital technology in China’s sustainable forestry development. International Journal of Sustainable Development & World Ecology 16 (2): 94–101

Shao, G.F. and J. Wu. 2008. On the accuracy of landscape pattern analysis using remote sensing data. Landscape Ecology 23: 505–511

Shao, G.F. and B.W. Duncan. 2007. Effects of band combinations and GIS masking on fire-scar mapping at local scales in East-Central Florida, USA. Canadian Journal of Remote Sensing 33 (4): 250259

Chivoiu, B., G.F. Shao, J. Moser and W.L. Mills. 2006. ArcFVS: An integration of a geographic information system and forest vegetation simulator. Science in China (Series E Technological Sciences), 49 Supp. I: 3544

Zhao, G., G.F. Shao, K. Reynolds, M. Wimberly, T. Warner, J. Moser, K. Rennolls, S. Magnussen, M. Koehl, H. Anderson, G. Mendoza, L. Dai1, A. Huth, L. Zhang, J. Brey, Y. Sun, R. Ye, B. Martin, and F. Li. 2005. Digital Forestry: A White Paper. Journal of Forestry 103 (1): 47–50

Wang, F., L.M. Dai, and G.F. Shao. 2004. A non-linear model for simulating diameter dynamics of the broadleaved-Korean pine mixed forest on Changbai Mountain. Chinese J. of Ecology 23(5): 101105. (in Chinese)

Shao, G.F., W.C. Wu, G. Wu, X.H. Zhou, and J.G. Wu. 2003. An explicit index for assessing the accuracy of cover class areas. Photogrammetric Engineering & Remote Sensing 69(8): 907–913

Wu, W.C. and G.F. Shao. 2002. Optimal combinations of data, classifiers, and sampling methods for accurate characterizations of deforestation. Can. J. Remote Sensing. 28 (4): 601–609

Shao, G., D. Liu, and G. Zhao. 2001. Relationships of image classification accuracy and variation of landscape statistics. Can. J. Remote Sensing. 27(1): 33–43

Zhang, P., G.F. Shao, G. Zhao, D.C. LeMaster, G.R. Parker, J.B. Dunning, and Q.L. Li. 2000. Ecology: China’s forest policy for the 21st century. Science 288 (5474), June 23, 2135–2136

Zhao, G., A.L. Maclean, and G.F. Shao. 1999. Small-area clearcutting and landscape fragmentation in an old-growth forested area of northeastern China. Great Lakes, Great Forests, Proceedings: 219–224

Shao, G.F., D.R. Young, J.H. Porter, and B.P. Hayden. 1998. An integration of remote sensing and GIS to examine the responses of shrub thicket distributions to shoreline changes on barrier islands. Journal of Coastal Research 14: 299–307

Shao, G.F. and H.H. Shugart. 1997. A compatible growth-density stand model derived from a distance-dependent individual tree model. Forest Science 43(3):443–446

Shao, G.F., G. Zhao, S. Zhao, H.H. Shugart, S.X. Wang, and J. Schaller. 1996. Forest cover types derived from landsat TM imagery for Changbai Mountain Area of China. Can. J. For. Res. 26: 206–216

Shao, G.F., H.H. Shugart, and T.M. Smith. 1995. A role-type model (ROPE) and its application in assessing the impacts of climate change on forest landscape. Vegetatio (Plant Ecology) 121: 135–146

Shao, G.F., P. Schall, and J.F. Weishampel. 1994. Dynamic simulations of mixed broadleaved-Pinus koraiensis forests in the Changbaishan Biosphere Reserve of China. Forest Ecology and Management. 70: 169–181

Shao, G.F., Q.J. Liu, H. Qian, and Q.L. Wang. 1992. Biomass of herbs in early spring in a broadleaved-Korean pine forest of Changbaishan Mountain. Research of Forest Ecosystem 6:24–30 (in Chinese with English abstract)

Shao, G.F., S.D. Zhao, and G. Zhao. 1991. Application of GIS in simulation of forested landscape dynamics: A case study in Changbaishan Biosphere Reserve. Chin. J. of Applied Ecology. 2(2):103–107 (in Chinese with English abstract)

Shao, G.F 1989. Review on computer models of forest growth and succession. Chin. J. Ecology (2): 13–18. (in Chinese with English abstract)

Shao, G.F. 1985. Individual tree growth models for Korean pine plantations. J. NE. For. Univ., (3):38–46 (in Chinese with English abstract)