| Soybean yield prediction from UAV using multimodal data fusion and deep learning M Maimaitijiang, V Sagan, P Sidike, S Hartling, F Esposito, FB Fritschi Remote sensing of environment 237, 111599, 2020 | 776 | 2020 |
| Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing V Sagan, KT Peterson, M Maimaitijiang, P Sidike, J Sloan, BA Greeling, ... Earth-Science Reviews 205, 103187, 2020 | 483 | 2020 |
| 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 | 379 | 2017 |
| UAV-based high resolution thermal imaging for vegetation monitoring, and plant phenotyping using ICI 8640 P, FLIR Vue Pro R 640, and thermomap cameras V Sagan, M Maimaitijiang, P Sidike, K Eblimit, KT Peterson, S Hartling, ... Remote Sensing 11 (3), 330, 2019 | 255 | 2019 |
| Crop monitoring using satellite/UAV data fusion and machine learning M Maimaitijiang, V Sagan, P Sidike, AM Daloye, H Erkbol, FB Fritschi Remote Sensing 12 (9), 1357, 2020 | 249 | 2020 |
| 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 | 224 | 2019 |
| Urban tree species classification using a WorldView-2/3 and LiDAR data fusion approach and deep learning S Hartling, V Sagan, P Sidike, M Maimaitijiang, J Carron Sensors 19 (6), 1284, 2019 | 213 | 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 | 191 | 2021 |
| Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine J Adrian, V Sagan, M Maimaitijiang ISPRS Journal of Photogrammetry and Remote Sensing 175, 215-235, 2021 | 184 | 2021 |
| 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 | 143 | 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 | 105 | 2019 |
| Urban tree species classification using UAV-based multi-sensor data fusion and machine learning S Hartling, V Sagan, M Maimaitijiang GIScience & Remote Sensing 58 (8), 1250-1275, 2021 | 81 | 2021 |
| Above-ground biomass estimation in oats using UAV remote sensing and machine learning P Sharma, L Leigh, J Chang, M Maimaitijiang, M Caffé Sensors 22 (2), 601, 2022 | 77 | 2022 |
| 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 | 73 | 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 | 63 | 2019 |
| A new optical remote sensing technique for high-resolution mapping of soil moisture E Babaeian, P Sidike, MS Newcomb, M Maimaitijiang, SA White, ... Frontiers in big Data 2, 37, 2019 | 50 | 2019 |
| A geographically weighted random forest approach to predict corn yield in the US corn belt SN Khan, D Li, M Maimaitijiang Remote Sensing 14 (12), 2843, 2022 | 47 | 2022 |
| Adaptive trigonometric transformation function with image contrast and color enhancement: Application to unmanned aerial system imagery P Sidike, V Sagan, M Qumsiyeh, M Maimaitijiang, A Essa, V Asari IEEE Geoscience and Remote Sensing Letters 15 (3), 404-408, 2018 | 41 | 2018 |
| 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 |
Sidike PahedingAssistant Professor of Computer Science, Fairfield Universityبريد إلكتروني تم التحقق منه على fairfield.edu