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ORCIDMaitiniyazi Maimaitijiang
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Journal Articles
- 2024
[j21]Shahid Nawaz Khan, Dapeng Li
, Maitiniyazi Maimaitijiang:
Using gross primary production data and deep transfer learning for crop yield prediction in the US Corn Belt. Int. J. Appl. Earth Obs. Geoinformation 131: 103965 (2024)- 2023
- [j20]Rakshya Dhakal, Maitiniyazi Maimaitijiang, Jiyul Chang, Melanie Caffé:
Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning. Sensors 23(24): 9708 (2023) - 2022
- [j19]Shahid Nawaz Khan, Dapeng Li, Maitiniyazi Maimaitijiang:
A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt. Remote. Sens. 14(12): 2843 (2022) - [j18]Kamila Dilmurat, Vasit Sagan, Maitiniyazi Maimaitijiang, Stephen Moose, Felix B. Fritschi:
Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data. Remote. Sens. 14(19): 4786 (2022) - [j17]Prakriti Sharma, Larry Leigh, Jiyul Chang, Maitiniyazi Maimaitijiang, Melanie Caffé:
Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning. Sensors 22(2): 601 (2022) - [j16]Vasit Sagan, Maitiniyazi Maimaitijiang, Paheding Sidike, Sourav Bhadra, Nichole Gosselin, Maxwell Burnette, Jeffrey Demieville, Sean Hartling, David S. LeBauer, Maria Newcomb, Duke Pauli, Kyle T. Peterson, Nadia Shakoor, Abby Stylianou, Charles S. Zender, Todd C. Mockler:
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - 2021
- [j15]Sean Hartling, Vasit Sagan, Maitiniyazi Maimaitijiang, William P. Dannevik, Robert Pasken:
Estimating tree-related power outages for regional utility network using airborne LiDAR data and spatial statistics. Int. J. Appl. Earth Obs. Geoinformation 100: 102330 (2021) - [j14]Gizelle Cota, Vasit Sagan, Maitiniyazi Maimaitijiang, Karen Freeman:
Forest Conservation with Deep Learning: A Deeper Understanding of Human Geography around the Betampona Nature Reserve, Madagascar. Remote. Sens. 13(17): 3495 (2021) - [j13]Canh Nguyen, Vasit Sagan, Matthew Maimaitiyiming, Maitiniyazi Maimaitijiang, Sourav Bhadra, Misha T. Kwasniewski:
Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning. Sensors 21(3): 742 (2021) - 2020
- [j12]Waqar Muhammad, Flavio Esposito, Maitiniyazi Maimaitijiang, Vasit Sagan, Enrico Bonaiuti:
Polly: A Tool for Rapid Data Integration and Analysis in Support of Agricultural Research and Education. Internet Things 9: 100141 (2020) - [j11]Nichole Gosselin, Vasit Sagan, Matthew Maimaitiyiming, Jack Fishman, Kelley Belina, Ann Podleski, Maitiniyazi Maimaitijiang, Anbreen Bashir, Jayashree Balakrishna, Austin Dixon:
Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone. Remote. Sens. 12(1): 93 (2020) - [j10]Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, Ahmad M. Daloye, Hasanjan Erkbol, Felix B. Fritschi:
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning. Remote. Sens. 12(9): 1357 (2020) - [j9]Sourav Bhadra, Vasit Sagan, Maitiniyazi Maimaitijiang, Matthew Maimaitiyiming, Maria Newcomb, Nadia Shakoor, Todd C. Mockler:
Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning. Remote. Sens. 12(13): 2082 (2020) - [j8]Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Allison J. Miller, Misha T. Kwasniewski:
Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology. Remote. Sens. 12(19): 3216 (2020) - 2019
- [j7]Ebrahim Babaeian, Paheding Sidike, Maria Newcomb, Maitiniyazi Maimaitijiang, Scott A. White, Jeffrey Demieville, Richard W. Ward, Morteza Sadeghi, David S. LeBauer, Scott B. Jones, Vasit Sagan, Markus Tuller:
A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture. Frontiers Big Data 2: 37 (2019) - [j6]Vasit Sagan, Maitiniyazi Maimaitijiang, Paheding Sidike, Kevin Eblimit, Kyle T. Peterson, Sean Hartling, Flavio Esposito, Kapil Khanal, Maria Newcomb, Duke Pauli, Rick Ward, Felix B. Fritschi, Nadia Shakoor, Todd C. Mockler:
UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras. Remote. Sens. 11(3): 330 (2019) - [j5]Sean Hartling, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Joshua Carron:
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning. Sensors 19(6): 1284 (2019) - 2018
- [j4]Paheding Sidike, Vasit Sagan, Maher B. Qumsiyeh, Maitiniyazi Maimaitijiang, Almabrok E. Essa, Vijayan K. Asari:
Adaptive Trigonometric Transformation Function With Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery. IEEE Geosci. Remote. Sens. Lett. 15(3): 404-408 (2018) - 2015
- [j3]Maitiniyazi Maimaitijiang, Abduwasit Ghulam, J. S. Onésimo Sandoval, Matthew Maimaitiyiming:
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. Int. J. Appl. Earth Obs. Geoinformation 35: 161-174 (2015) - [j2]Abduwasit Ghulam, Jack Fishman, Matthew Maimaitiyiming, Joseph L. Wilkins, Maitiniyazi Maimaitijiang, Jason Welsh, Benjamin Bira, Mark Grzovic:
Characterizing Crop Responses to Background Ozone in Open-Air Agricultural Field by Using Reflectance Spectroscopy. IEEE Geosci. Remote. Sens. Lett. 12(6): 1307-1311 (2015) - [j1]Abduwasit Ghulam, Oghlan Ghulam, Maitiniyazi Maimaitijiang, Karen Freeman, Ingrid Porton, Matthew Maimaitiyiming:
Remote Sensing Based Spatial Statistics to Document Tropical Rainforest Transition Pathways. Remote. Sens. 7(5): 6257-6279 (2015)
Conference and Workshop Papers
- 2023
- [c4]Shahid Nawaz Khan, Maitiniyazi Maimaitijiang, Bruce Millett, Sidike Paheding, Dapeng Li, Melanie Caffé, Péter Kovács:
Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data. IGARSS 2023: 2771-2774 - [c3]Maitiniyazi Maimaitijiang, Bruce Millett, Sidike Paheding, Shahid Nawaz Khan, Kamila Dilmurat, Abel A. Reyes, Péter Kovács:
Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data. IGARSS 2023: 3546-3549 - 2021
- [c2]Maitiniyazi Maimaitijiang, Vasit Sagan, Felix B. Fritschi:
Crop Yield Prediction using Satellite/Uav Synergy and Machine Learning. IGARSS 2021: 6276-6279 - 2020
- [c1]Matthew Maimaitiyiming, Maitiniyazi Maimaitijiang, Paheding Sidike, Vasit Sagan, Zoë Migicovsky, Daniel H. Chitwood, Peter Cousins, Nick Dokoozlian, Allison J. Miller, Misha T. Kwasniewski:
Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR). IGARSS 2020: 1117-1120
Coauthor Index
aka: Abduwasit Ghulam
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