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Christopher M. U. Neale
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2020 – today
- 2024
- [j12]Qiao Hu, Ligang Zhang, Jeff Drahota, Wayne Woldt, Dana Varner, Andy Bishop, Ted LaGrange, Christopher M. U. Neale, Zhenghong Tang:
Combining Multi-View UAV Photogrammetry, Thermal Imaging, and Computer Vision Can Derive Cost-Effective Ecological Indicators for Habitat Assessment. Remote. Sens. 16(6): 1081 (2024) - 2023
- [j11]Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Saro Lee, Changhyun Jun, Clay Trauernicht, Christopher M. U. Neale:
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i. Eng. Appl. Artif. Intell. 125: 106699 (2023) - 2022
- [j10]Jasreman Singh, Yufeng Ge, Derek M. Heeren, Elizabeth Walter-Shea, Christopher M. U. Neale, Suat Irmak, Mitchell S. Maguire:
Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize. Sensors 22(5): 1863 (2022) - 2021
- [j9]Jéssica G. Nascimento, Daniel Althoff, Helizani Couto Bazame, Christopher M. U. Neale, Sérgio N. Duarte, Anderson L. Ruhoff, Ivo Z. Gonçalves:
Evaluating the Latest IMERG Products in a Subtropical Climate: The Case of Paraná State, Brazil. Remote. Sens. 13(5): 906 (2021) - [j8]Mitchell S. Maguire, Christopher M. U. Neale, Wayne E. Woldt:
Improving Accuracy of Unmanned Aerial System Thermal Infrared Remote Sensing for Use in Energy Balance Models in Agriculture Applications. Remote. Sens. 13(9): 1635 (2021) - 2020
- [j7]Carlos Antonio Costa dos Santos, Denis A. Mariano, Francisco das Chagas A. do Nascimento, Fabiane Regina da C. Dantas, Gabriel de Oliveira, Madson T. Silva, Lindenberg L. da Silva, Bernardo B. da Silva, Bergson Guedes Bezerra, Babak Safa, Salomão de S. Medeiros, Christopher M. U. Neale:
Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil. Int. J. Appl. Earth Obs. Geoinformation 85 (2020) - [j6]Leonardo Laipelt, Anderson L. Ruhoff, Ayan Santos Fleischmann, Rafael Henrique Bloedow Kayser, Elisa de Mello Kich, Humberto Ribeiro da Rocha, Christopher M. U. Neale:
Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil. Remote. Sens. 12(7): 1108 (2020)
2010 – 2019
- 2019
- [j5]J. Burdette Barker, Sandeep Bhatti, Derek M. Heeren, Christopher M. U. Neale, Daran R. Rudnick:
Variable Rate Irrigation of Maize and Soybean in West-Central Nebraska Under Full and Deficit Irrigation. Frontiers Big Data 2: 34 (2019) - 2018
- [j4]Raoni W. D. Bosquilia, Christopher M. U. Neale, Sérgio N. Duarte, Solon J. Longhi, Silvio F. de B. Ferraz, Frank E. Müller-Karger, Matthew J. McCarthy:
Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance. Comput. Electron. Agric. 151: 70-76 (2018) - [j3]Xinlei He, Tongren Xu, Sayed M. Bateni, Christopher M. U. Neale, Thomas Auligne, Shaomin Liu, Kaicun Wang, Kebiao Mao, Yunjun Yao:
Evaluation of the Weak Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites. Remote. Sens. 10(12): 1994 (2018) - 2016
- [j2]Magali Odi-Lara, Isidro Campos, Christopher M. U. Neale, Samuel Ortega-Farías, Carlos Poblete-Echeverría, Claudio Balbontín, Alfonso Calera:
Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance. Remote. Sens. 8(3): 253 (2016)
1990 – 1999
- 1997
- [j1]Changyi Sun, Christopher M. U. Neale, Jeffrey J. McDonnell, Heng-Da Cheng:
Monitoring land-surface snow conditions from SSM/I data using an artificial neural network classifier. IEEE Trans. Geosci. Remote. Sens. 35(4): 801-809 (1997) - 1995
- [c1]Changyi Sun, Heng-Da Cheng, Jeffrey J. McDonnell, Christopher M. U. Neale:
Identification of mountain snow cover using SSM/I and artificial neural network. ICASSP 1995: 3451-3454
Coauthor Index
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