| 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 | 333 | 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 | 309 | 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 | 229 | 2019 |
| 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 | 176 | 2019 |
| Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing KT Peterson, V Sagan, JJ Sloan GIScience & Remote Sensing 57 (4), 510-525, 2020 | 138 | 2020 |
| Suspended sediment concentration estimation from landsat imagery along the lower missouri and middle Mississippi Rivers using an extreme learning machine KT Peterson, V Sagan, P Sidike, AL Cox, M Martinez Remote Sensing 10 (10), 1503, 2018 | 115 | 2018 |
| Machine learning-based ensemble prediction of water-quality variables using feature-level and decision-level fusion with proximal remote sensing KT Peterson, V Sagan, P Sidike, EA Hasenmueller, JJ Sloan, JH Knouft Photogrammetric Engineering & Remote Sensing 85 (4), 269-280, 2019 | 70 | 2019 |
| 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 | 50 | 2019 |
| Data-driven artificial intelligence for calibration of hyperspectral big data V Sagan, M Maimaitijiang, S Paheding, S Bhadra, N Gosselin, M Burnette, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-20, 2021 | 24 | 2021 |
| Leveraging Artificial Intelligence for Enhanced Seed Testing: Current trends and future prospects KT Peterson, B van Duijn Seed Testing International, 8-10, 2024 | | 2024 |
| Water Quality Variable Estimation using Partial Least Squares Regression and Multi-Scale Remote Sensing. KT Peterson, A Wulamu AGU Fall Meeting Abstracts 2017, H33F-1763, 2017 | | 2017 |
