| Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation M Maimaitiyiming, A Ghulam, T Tiyip, F Pla, P Latorre-Carmona, Ü Halik, ... ISPRS Journal of Photogrammetry and Remote Sensing 89, 59-66, 2014 | 556 | 2014 |
| Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine M Maimaitijiang, A Ghulam, P Sidike, S Hartling, M Maimaitiyiming, ... ISPRS Journal of Photogrammetry and Remote Sensing 134, 43-58, 2017 | 375 | 2017 |
| Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery M Maimaitijiang, V Sagan, P Sidike, M Maimaitiyiming, S Hartling, ... ISPRS journal of photogrammetry and remote sensing 151, 27-41, 2019 | 227 | 2019 |
| Early detection of plant viral disease using hyperspectral imaging and deep learning C Nguyen, V Sagan, M Maimaitiyiming, M Maimaitijiang, S Bhadra, ... Sensors 21 (3), 742, 2021 | 194 | 2021 |
| Early detection of plant physiological responses to different levels of water stress using reflectance spectroscopy M Maimaitiyiming, A Ghulam, A Bozzolo, JL Wilkins, MT Kwasniewski Remote Sensing 9 (7), 745, 2017 | 149 | 2017 |
| Drivers of land cover and land use changes in St. Louis metropolitan area over the past 40 years characterized by remote sensing and census population data M Maimaitijiang, A Ghulam, JSO Sandoval, M Maimaitiyiming International Journal of Applied Earth Observation and Geoinformation 35 …, 2015 | 146 | 2015 |
| Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning V Sagan, M Maimaitijiang, S Bhadra, M Maimaitiyiming, DR Brown, ... ISPRS journal of photogrammetry and remote sensing 174, 265-281, 2021 | 141 | 2021 |
| dPEN: Deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery P Sidike, V Sagan, M Maimaitijiang, M Maimaitiyiming, N Shakoor, ... Remote sensing of environment 221, 756-772, 2019 | 103 | 2019 |
| Quantifying leaf chlorophyll concentration of sorghum from hyperspectral data using derivative calculus and machine learning S Bhadra, V Sagan, M Maimaitijiang, M Maimaitiyiming, M Newcomb, ... Remote Sensing 12 (13), 2082, 2020 | 74 | 2020 |
| UAV/satellite multiscale data fusion for crop monitoring and early stress detection V Sagan, M Maimaitijiang, P Sidike, M Maimaitiyiming, H Erkbol, ... International Society for Photogrammetry and Remote Sensing 42 (2/W13), 715, 2019 | 67 | 2019 |
| Monitoring soil salinization in Keriya River Basin, Northwestern China using passive reflective and active microwave remote sensing data I Nurmemet, A Ghulam, T Tiyip, R Elkadiri, JL Ding, M Maimaitiyiming, ... Remote Sensing 7 (7), 8803-8829, 2015 | 67 | 2015 |
| Dual activation function-based Extreme Learning Machine (ELM) for estimating grapevine berry yield and quality M Maimaitiyiming, V Sagan, P Sidike, MT Kwasniewski Remote Sensing 11 (7), 740, 2019 | 62 | 2019 |
| Dynamics of land surface temperature (LST) in response to land use and land cover (LULC) changes in the Weigan and Kuqa river oasis, Xinjiang, China F Zhang, T Tiyip, H Kung, VC Johnson, M Maimaitiyiming, M Zhou, ... Arabian Journal of Geosciences 9, 1-14, 2016 | 56 | 2016 |
| Estimating soil sand content using thermal infrared spectra in arid lands M Sawut, A Ghulam, T Tiyip, Y Zhang, J Ding, F Zhang, M Maimaitiyiming International Journal of Applied Earth Observation and Geoinformation 33 …, 2014 | 43 | 2014 |
| Remote sensing based spatial statistics to document tropical rainforest transition pathways A Ghulam, O Ghulam, M Maimaitijiang, K Freeman, I Porton, ... Remote Sensing 7 (5), 6257-6279, 2015 | 40 | 2015 |
| Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology M Maimaitiyiming, V Sagan, P Sidike, M Maimaitijiang, A Miller, ... Remote Sensing 12 (19), 3216, 2020 | 36 | 2020 |
| Effects of ambient ozone on soybean biophysical variables and mineral nutrient accumulation V Sagan, M Maimaitiyiming, J Fishman Remote Sensing 10 (4), 562, 2018 | 23 | 2018 |
| Discriminating spectral signatures among and within two closely related grapevine species M Maimaitiyiming, AJ Miller, A Ghulam Photogrammetric Engineering & Remote Sensing 82 (1), 51-62, 2016 | 21 | 2016 |
| Using visual ozone damage scores and spectroscopy to quantify soybean responses to background ozone N Gosselin, V Sagan, M Maimaitiyiming, J Fishman, K Belina, A Podleski, ... Remote Sensing 12 (1), 93, 2019 | 17 | 2019 |
| Increases in vein length compensate for leaf area lost to lobing in grapevine Z Migicovsky, JF Swift, Z Helget, LL Klein, A Ly, M Maimaitiyiming, ... American journal of botany 109 (7), 1063-1073, 2022 | 8 | 2022 |