Dr. Qingmin Meng studies human environment interaction with focuses on complex relationship among landscape, physical environment, natural resources, 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 assessment, and the complicated environmental, ecological, and social interactions in Gulf coastal ecosystems, hydraulic fracturing, and West Nile Virus.
- PhD, School of Forestry and Natural Resources, University of Georgia 2003-2006, Dissertation: “Fine Spatial Resolution Forest Inventory for Georgia: Remote Sensing Based Geostatistical Modeling and K Nearest Neighbor Method”
- MS, Statistics, Department of Statistics, University of Georgia 2004-2005
- PhD, Department of Geography, Peking University, China 1998-2001
- MS, Department of Geography, Lanzhou University, China 1994-1997
- BS, Department of Geography, Shandong Normal University, China 1990-1994
- 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
Ecological systems, hydraulic fracturing, landscape epidemiology, GIS, remote sensing, geospatial modeling, Big Data.
- GR 8303 Advanced Geodatabase
- GR 4363/6363 Python GIS Programming
- GR 4353/6353 Geodatabase Design
- GR 4323/6323 Python Cartographic Science
- GR 4313/6313 Advanced GIS
- CHANS Fellowship. 2010. International Network of Research on Coupled Human and Natural Systems, National Science Foundation and Michigan State University
- UCGIS / ESRI Junior Faculty Award. 2010. The University Consortium for Geographic Information Science (UCGIS)
- Sadia Shammi (PhD)
- Khalid Hossain (PhD)
- Tianyu Li (PhD, MSU)
- Corrin McCarn (MS, Syngenta)
- Abdulla Sherif (MS, Cleco)
- Meng, Q. 2019. Characterizing and modeling environmental emergency of unconventional oil and gas spills in the USA: Life-year versus spill factors. Journal of Cleaner Production. 237 (10), 117794.
- 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. View More
- Li, T. Meng, Q. 2018. A mixture emissivity analysis method for urban land surface temperature retrieval from Landsat 8 data. Landscape and Urban Planning. 179: 63-71.
- 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
- Bise, R.D., Rodgers, J.C., Magiugan, M., Beaulieu, B., Keith, W., Meng, Q., Magiugan, C. 2018. Sidewalks as measures of infrastructure inequities. Southeastern Geographer. 58, 39-57.
- 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. 2017. Fracking, in Handbook of Climate Change Mitigation and Adaptation (Chen, W.Y., Suzuki, T., Lackner, M. eds., 2017 Edition), pp1265-1278.
- 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.
- Li, T. & Meng, Q. 2016. Forest dynamics to precipitation and temperature in the Gulf of Mexico coastal region. International Journal of Biometeorology. doi:10.1007/s00484-016-1266-0.
- Meng, Q. 2016. The impacts of fracking on the environment: A total environmental study paradigm. Science of the Total Environment. http://dx.doi.org/10.1016/j.scitotenv.2016.12.045.
- 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.
- 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. Regional landscape mapping through a method of chain standardization of Landsat images. Landscape and Urban Planning, 134:1-9.
- Meng, Q. 2015. Modeling and prediction of natural gas fracking pad landscapes in the Marcellus Shale region, USA. A rejoinder to Klein and Manda. Landscape and Urban Planning 136:52-53.
- Meng, Q. and Ashby, S. 2014. Distance: A critical aspect for environmental impact assessment of hydraulic fracking. The Extractive Industries and Society, 1:124-126
- 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. 2014. Regression kriging versus geographically weighted regression for spatial Interpolation. International Journal of Advanced Remote Sensing and GIS, 3(1): 598-605.