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Qingmin Meng
Qingmin Meng
Assistant Professor, Mississippi State University
Verified email at geosci.msstate.edu
Title
Cited by
Cited by
Year
Large area forest inventory using Landsat ETM+: a geostatistical approach
Q Meng, C Cieszewski, M Madden
ISPRS Journal of Photogrammetry and Remote Sensing 64 (1), 27-36, 2009
1232009
Assessment of regression kriging for spatial interpolation–comparisons of seven GIS interpolation methods
Q Meng, Z Liu, BE Borders
Cartography and geographic information science 40 (1), 28-39, 2013
1202013
Distance: A critical aspect for environmental impact assessment of hydraulic fracking
Q Meng, S Ashby
The Extractive Industries and Society 1 (2), 124-126, 2014
982014
The impacts of fracking on the environment: A total environmental study paradigm
Q Meng
Science of the Total Environment 580, 953-957, 2017
912017
Spatial analysis of environment and population at risk of natural gas fracking in the state of Pennsylvania, USA
Q Meng
Science of the Total Environment 515, 198-206, 2015
822015
A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images
Q Meng, CJ Cieszewski, M Madden, B Borders
Forest Ecology and Management 244 (1-3), 93-101, 2007
802007
Changes in water surface area during 1989–2017 in the Huai River Basin using Landsat data and Google earth engine
H Xia, J Zhao, Y Qin, J Yang, Y Cui, H Song, L Ma, N Jin, Q Meng
Remote Sensing 11 (15), 1824, 2019
572019
K nearest neighbor method for forest inventory using remote sensing data
Q Meng, CJ Cieszewski, M Madden, BE Borders
GIScience & Remote Sensing 44 (2), 149-165, 2007
572007
Closest spectral fit for removing clouds and cloud shadows
Q Meng, BE Borders, CJ Cieszewski, M Madden
Photogrammetric Engineering & Remote Sensing 75 (5), 569-576, 2009
472009
Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling
SA Shammi, Q Meng
Ecological Indicators 121, 107124, 2021
442021
A fine-scale spatial analytics of the assessment and mapping of buildings and population at different risk levels of urban flood
MK Hossain, Q Meng
Land use policy 99, 104829, 2020
402020
Spatial estimation of the density and carbon content of host populations for Phytophthora ramorum in California and Oregon
S Lamsal, RC Cobb, JH Cushman, Q Meng, DM Rizzo, RK Meentemeyer
Forest Ecology and Management 262 (6), 989-998, 2011
392011
Modeling and prediction of natural gas fracking pad landscapes in the Marcellus Shale region, USA
Q Meng
Landscape and urban planning 121, 109-116, 2014
372014
Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models
Y Hu, X Xu, F Wu, Z Sun, H Xia, Q Meng, W Huang, H Zhou, J Gao, W Li, ...
Remote Sensing 12 (1), 186, 2020
332020
Spatial regression modeling of tree height–diameter relationships
Q Meng, CJ Cieszewski, MR Strub, BE Borders
Canadian journal of forest research 39 (12), 2283-2293, 2009
292009
Forest phenology dynamics to climate change and topography in a geographic and climate transition zone: the Qinling mountains in Central China
H Xia, Y Qin, G Feng, Q Meng, Y Cui, H Song, Y Ouyang, G Liu
Forests 10 (11), 1007, 2019
282019
A mixture emissivity analysis method for urban land surface temperature retrieval from Landsat 8 data
T Li, Q Meng
Landscape and Urban Planning 179, 63-71, 2018
262018
Fracking
Q Meng
Handbook of Climate Change Mitigation and Adaption, 1265 - 1278, 2017
25*2017
High-resolution satellite image fusion using regression kriging
Q Meng, B Borders, M Madden
International Journal of Remote Sensing 31 (7), 1857-1876, 2010
252010
A thematic mapping method to assess and analyze potential urban hazards and risks caused by flooding
MK Hossain, Q Meng
Computers, Environment and Urban Systems 79, 101417, 2020
242020
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