Qingmin Meng

    Associate Professor


    Office: 109C Hilbun Hall

    Department of Geosciences

    Mississippi State University

    Email: QMeng@geosci.msstate.edu

About ME

Qingmin Meng studies human environment relationship with focuses on complex interactions among landscape, natural resources and energy, physical environment, and human activities. His research integrates mathematics and statistics into quantitative geospatial analysis and modeling with vector, raster, and time series datasets. Currently, he focuses on geospatial big data exploration including massive remote sensing data integration and enhancement, ecological system classification and change assessment, risk analysis, and the complicated environmental, ecological, and social interactions in Gulf coastal ecosystems, offshore oil mining, hydraulic fracturing, and West Nile Virus.


  • Current courses:
  • GR 4303/6303 Advanced GIS
  • GR 4323/6323 Cartographic Science
  • GR 4363/6363 Python GIS Programming
  • GR 8303 Advanced Geodatabase

  • Courses instructed before:
  • Advanced Remote Sensing
  • Remote Sensing of Environment
  • GIS Programming
  • Topics in GIS
  • Geospatial Topics for Landscape Analysis
  • Introduction to the Physical Environment
  • Introduction to Physical Geography
  • Spatial Analysis of Natural Resources

  • Research


  • Ph.D. (Forestry and Natural Resources), University of Georgia, 2006
  • M.S. (Statistics), University of Georgia, 2005
  • Ph.D. (Geography), Peking University, China, 2001
  • M.S. (Geography), Lanzhou University, China, 1997
  • B.S. (Geography), Shandong Normal University, China, 1994


  • Assistant Professor,Mississippi State University, 2012-present
  • Visiting Assistant Professor,SUNY at Albany,2010-2012
  • Associate Director of Computing & Technology,UNC at Charlotte,2008-2010
  • Post-Doctoral Research Associate,University of Georgia,2007-2008
  • Publications

  • Li, T., Meng, Q. 2020. Application of Random Effects to Explore the Gulf of Mexico Coastal Forest Dynamics in Relation to Meteorological Factors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13, 5526-5535.

  • Hossain, M.K., Meng, Q. 2020. A fine-scale spatial analytics of the assessment and mapping of buildings and population at different risk levels of urban flood. Land Use Policy. 99, 104829.

  • Li, T., Meng, Q. 2020. Forest Dynamics in Relation to Meteorology and Soil in the Gulf Coast of Mexico. Science of The Total Environment. 134913.

  • Hossain, M.K., Meng, Q. 2020. A thematic mapping method to assess and analyze potential urban hazards and risks caused by flooding. Computers, Environment and Urban Systems. 79, 101417 (IF 3.393).

  • Hu, Y., Xu, X., Wu, F., Sun, Z., Xia, H., Meng, Q., etc. 2020. Estimating Forest Stock Volume in Hunan Province China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models. Remote Sensing. 12, 186; doi:10.3390/rs12010186.

  • Xia, H., Qin, Y., Feng, G. Meng, Q., Cui, Y., Song, H., Ouyang, Y., Liu, G. 2019. Forest Phenology Dynamics to Climate Change and Topography in a Geographic and Climate Transition Zone: The Qinling Mountains in Central China. Forests. 10, 1007; doi:10.3390/f10111007.

  • Meng, Q. 2019. Characterizing and modeling environmental emergency of unconventional oil and gas spills in the USA: Life-year versus spill factors. Current Opinion in Environmental Science & Health. 3: A1-A4.

  • Ma, L, Xia, H., Meng, Q. 2019. Spatiotemporal Variability of Asymmetric Daytime and Night-Time Warming and Its Effects on Vegetation in the Yellow River Basin from 1982 to 2015. Sensors. 19 (8), 1832.

  • Xu, J., Gu, H., Meng, Q., Cheng, J., Liu, Y., Jiang, P., Sheng, J., Deng, J. 2019. Spatial pattern analysis of Haloxylon ammodendron using UAV imagery - A case study in the Gurbantunggut Desert. International Journal of Applied Earth Observation and Geoinformation. 83, 101891.

  • Xia, H., Zhao, J., Qin, Y., Yang, J., Cui, Y., Song, H., Ma, L., Jin, N., Meng, Q. 2019. Changes in Water Surface Area during 1989–2017 in the Huai River Basin using Landsat Data and Google Earth Engine. Remote Sensing. 11 (15), 1824.

  • Meng, Q. 2019. Climate Change and Extreme Weather Drive the Declines of Saline Lakes: A Showcase of the Great Salt Lake. Climate. 7 (2), 19.

  • Li, T. Meng, Q. 2018. A mixture emissivity analysis method for urban land surface temperature retrieval from Landsat 8 data. Journal of Cleaner Production. 179: 63-71.

  • Bise, R.D., Rodgers, J.C., Magiugan, M., Beaulieu, B., Keith, W., Magiugan, C. Meng, Q. 2018. Sidewalks as measures of infrastructure inequities. Southeastern Geographer. 58, 39-57.

  • Meng, Q. 2018. Environmental and health risks of hydraulic fracturing. Current Opinion in Environmental Science & Health. 3: A1-A4.

  • Meng, Q. 2018. Rethink potential risks of toxic emissions from natural gas and oil mining. Environmental Pollution. 240: 848-857

  • Meng, Q. 2018. Fracking equity: A spatial justice analysis prototype. Land Use Policy. 70:10-15

  • Meng, Q. 2017. Fracking is fracturing the total environment of the Earth. Atlas of Science.

  • Yang, Y., Zhang, D., Meng, Q., Yu, W., & Yuan, L. 2017. Stratified evolution of urban residential spatial structure in China through the transitional period: A case study of five categories of housings in Chengdu. Habitat International. 69:78-93

  • Meng, Q. 2016. The impacts of fracking on the environment: A total environmental study paradigm. Science of the Total Environment.

  • Li, T. & Meng, Q. 2016. Forest dynamics to precipitation and temperature in the Gulf of Mexico coastal region. Int J Biometeorol (2016). doi:10.1007/s00484-016-1266-0.

  • Meng, Q. 2016. The spatiotemporal characteristics of environmental hazards caused by offshore oil and gas operations in the Gulf of Mexico Science of The Total Environment. 565, 663–671.

  • Meng, Q. 2016. Fracking, in Handbook of Climate Change Mitigation and Adaptation (Wei-Yin Chen, Toshio Suzuki, and Maximilian Lackner eds.), pp1-14.

  • Yang, Y., Meng, Q., McCarn, C., Cooke, W., Rodgers, J., Shi, K. 2016. Effects of path dependencies and lock-ins on urban spatial restructuring in China: A historical perspective on governments role in Lanzhou since 1978. Cities. 56, 24-34.

  • Yang, Y., Zhang, D., Meng, Q., and McCarn, C. 2015. Urban Residential Land Use Reconstruction under Dual-Track Mechanism of Market Socialism in China: A Case Study of Chengdu. Sustainability. 7(12), 16849-16865.

  • Meng, Q. 2015. Spatial analysis of environment and population at risk of natural gas fracking in the state of Pennsylvania, USA. Science of The Total Environment. 515–516: 198–206.

  • Meng, Q. 2015. Modeling and prediction of natural gas fracking pad landscapes in the Marcellus Shale region, USA. A rejoinder to Klein and Mandas commentary. Landscape and Urban Planning. 136: 52–53.

  • Meng, Q. 2015. Regional landscape mapping through a method of chain standardization of Landsat images. Landscape and Urban Planning. 134: 1–9.

  • K Merry, P. Bettinger, T. Brown, C. Cieszewski, I-K. Hung, Meng, Q. 2014. Proceedings of the 9th Southern Forestry and Natural Resources GIS Conference.Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA.

  • Meng, Q. 2014. Regression Kriging versus Geographically Weighted Regression for Spatial Interpolation. International Journal of Advanced Remote Sensing and GIS. 3: 606-615.

  • Meng, Q., and Ashby, S. 2014. Distance: A critical aspect for environmental impact assessment of hydraulic fracking. The Extractive Industries and Society. (In press).

  • Meng, Q.2014. Modeling and prediction of natural gas fracking pad landscapes in the Marcellus Shale region, USA.Landscape and Urban Planning. 121:109-116.

  • Meng, Q., Cooke, B., Rodgers, J. 2013. Derivation of 16-day time-series NDVI data for environmental studies using a data assimilation approach. GIScience & Remote Sensing 50(5): 500-514.

  • Meng, Q., Liu, Z., Borders. B. 2013. Assessment of regression kriging for spatial interpolation - Comparisons of seven available GIS interpolation methods. Cartography and Geographic Information Science. 40: 28-39.

  • Meng, Q., Meentemeyer, R. 2011. Modeling of multi-strata forest fire severity using Landsat TM data. International Journal of Applied Earth Observation and Geoinformation. 13:120-126.

  • Lamsal, S, Cobb, C.; Cushman, J. H.,Meng, Q.,Rizzo, D., Meentemeyer., Ross K. 2011. Spatial estimation of the density and carbon content of host populations Phytophthora ramorum in Califonia and Oregon. Forest Ecology and Management. 262:989-998.

  • Bacchus, S., Masour, J., Madden, M. Jordan, T., Meng, Q., 2011. Geospatial analysis of depressional wetlands near Peace River watershed phosphate mines, Florida, USA. Environmental & Engineering Geoscience. Vo. XVII, No. 4, pp391-415.

  • Meng, Q., Borders, B.E., and Madden, M. 2010. High spatial resolution image fusion using regression kriging. International Journal of Remote Sensing. 31 (7):1857-1876.

  • Meng, Q., Cieszewski, C.J., Strub, M.E. and Borders, B.E. 2009. Spatial regression modeling of tree height-diameter relationships. Canadian Journal of Forest Research. 39(12):2283-2293.

  • Meng, Q., Borders, B.E., Cieszewski, C.J., and Madden, M. 2009. Closest spectral fit removing clouds and cloud shadows. Photogrammetric Engineering & Remote Sensing. 75(5): 569-576.

  • Meng, Q., Cieszewski, C.J., and Madden, M. 2009. Large area forest inventory using Landsat ETM+: A geostatistical approach. ISPRS Journal of Photogrammetry and Remote Sensing. 64(1): 27-36.

  • Lowe, R.C., Cieszewski, C.J., Liu, S., Meng, Q., Siry, J.P, Zasada, M., Zawadzki, J. 2009. Assessment of Stream Management Zones and Road Beautifying Buffers in Georgia, USA, Based on Remote Sensing and Various Ground Inventory Data. Southern Journal of Applied Forestry. 33(2), 91-100.

  • Meng, Q., Cieszewski, C.J., Madden, M., and Borders, B.E. 2007. A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images. Forest Ecology and Management. 244 (1-3): 93-101.

  • Meng, Q., Cieszewski, C.J., Madden, M. and Borders, B.E. 2007. K nearest neighbor method forest inventory using remote sensing data. GIScience and Remote Sensing. 44(2): 149-165.

  • Meng, Q., and Cieszewski, C.J. 2006. Spatial clusters and variability analysis of tree mortality. Physical Geography. 27(6): 534-553.
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