| 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 | 214 | 2013 |
| Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling SA Shammi, Q Meng Ecological Indicators 121, 107124, 2021 | 151 | 2021 |
| The impacts of fracking on the environment: A total environmental study paradigm Q Meng Science of the Total Environment 580, 953-957, 2017 | 144 | 2017 |
| 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 | 133 | 2009 |
| 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 | 112 | 2014 |
| 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 | 111 | 2019 |
| 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 | 100 | 2015 |
| 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 | 91 | 2020 |
| 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 | 90 | 2007 |
| 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 | 78 | 2007 |
| An exploratory study of Sentinel-1 SAR for rapid urban flood mapping on Google Earth Engine MT Islam, Q Meng International Journal of Applied Earth Observation and Geoinformation 113 …, 2022 | 77 | 2022 |
| 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 | 74 | 2020 |
| 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 | 59 | 2009 |
| 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 | 56 | 2018 |
| 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 | 46 | 2019 |
| 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 | 46 | 2014 |
| 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 | 43 | 2020 |
| 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 | 39 | 2011 |
| Modeling of multi-strata forest fire severity using Landsat TM Data Q Meng, RK Meentemeyer International Journal of Applied Earth Observation and Geoinformation 13 (1 …, 2011 | 34 | 2011 |
| 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 | 34 | 2009 |
