Christopher M. U. Neale

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 11

Top Topics

Temporal Patterns

Principal Direction

Thermal Imaging

Top Venues

Comput. Electron. Agric.

Eng. Appl. Artif. Intell.

Publications

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) (2024)
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 (2023)
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) (2022)
Jéssica G. Nascimento, Daniel Althoff, Helizani Couto Bazame, Christopher M. U. Neale, Sergio 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) (2021)
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) (2021)
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) (2020)
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 G. 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)
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 (2019)
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) (2018)
Raoni W. D. Bosquilia, Christopher M. U. Neale, Sergio 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 (2018)
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) (2016)
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) (1997)
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)