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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, K. Peterson, S. Hartling, F. Esposito, K. Khanal, M. Newcomb, D. Pauli, R. Ward, F. Fritschi, N. Shakoor, and T. Mockler. Remote. Sens., 11 (3): 330 (2019)

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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, and J. Carron. Sensors, 19 (6): 1284 (2019)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, and M. Kwasniewski. Remote. Sens., 12 (19): 3216 (2020)Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data.M. Maimaitijiang, B. Millett, S. Paheding, S. Khan, K. Dilmurat, A. Reyes, and P. Kovács. IGARSS, page 3546-3549. IEEE, (2023)Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning.C. Nguyen, V. Sagan, M. Maimaitiyiming, M. Maimaitijiang, S. Bhadra, and M. Kwasniewski. Sensors, 21 (3): 742 (2021)A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture.E. Babaeian, P. Sidike, M. Newcomb, M. Maimaitijiang, S. White, J. Demieville, R. Ward, M. Sadeghi, D. LeBauer, S. Jones and 2 other author(s). Frontiers Big Data, (2019)Remote Sensing Based Spatial Statistics to Document Tropical Rainforest Transition Pathways.A. Ghulam, O. Ghulam, M. Maimaitijiang, K. Freeman, I. Porton, and M. Maimaitiyiming. Remote Sensing, 7 (5): 6257-6279 (2015)Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR).M. Maimaitiyiming, M. Maimaitijiang, P. Sidike, V. Sagan, Z. Migicovsky, D. Chitwood, P. Cousins, N. Dokoozlian, A. Miller, and M. Kwasniewski. IGARSS, page 1117-1120. IEEE, (2020)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, M. Maimaitijiang, A. Bashir, J. Balakrishna, and A. Dixon. Remote Sensing, 12 (1): 93 (2020)Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning.M. Maimaitijiang, V. Sagan, P. Sidike, A. Daloye, H. Erkbol, and F. Fritschi. Remote. Sens., 12 (9): 1357 (2020)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, K. Peterson, S. Hartling, F. Esposito, K. Khanal, M. Newcomb, D. Pauli and 4 other author(s). Remote. Sens., 11 (3): 330 (2019)

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras.

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