Christopher M. U. Neale

According to our database, Christopher M. U. Neale authored at least 13 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Combining Multi-View UAV Photogrammetry, Thermal Imaging, and Computer Vision Can Derive Cost-Effective Ecological Indicators for Habitat Assessment.

Qiao Hu, Ligang Zhang, Jeff Drahota, Wayne Woldt, Dana Varner, Andy Bishop, Ted LaGrange, Christopher M. U. Neale, Zhenghong Tang

Remote. Sens., March, 2024

2023

Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i.

Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Saro Lee, Changhyun Jun, Clay Trauernicht, Christopher M. U. Neale

Eng. Appl. Artif. Intell., 2023

2022

Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize.

Jasreman Singh, Yufeng Ge, Derek M. Heeren, Elizabeth Walter-Shea, Christopher M. U. Neale, Suat Irmak, Mitchell S. Maguire

Sensors, 2022

2021

Evaluating the Latest IMERG Products in a Subtropical Climate: The Case of Paraná State, Brazil.

Jéssica G. Nascimento, Daniel Althoff, Helizani Couto Bazame, Christopher M. U. Neale, Sérgio N. Duarte, Anderson L. Ruhoff, Ivo Z. Gonçalves

Remote. Sens., 2021

Improving Accuracy of Unmanned Aerial System Thermal Infrared Remote Sensing for Use in Energy Balance Models in Agriculture Applications.

Mitchell S. Maguire, Christopher M. U. Neale, Wayne E. Woldt

Remote. Sens., 2021

2020

Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil.

Leonardo Laipelt, Anderson L. Ruhoff, Ayan Santos Fleischmann, Rafael Henrique Bloedow Kayser, Elisa de Mello Kich, Humberto Ribeiro da Rocha, Christopher M. U. Neale

Remote. Sens., 2020

Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil.

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

Int. J. Appl. Earth Obs. Geoinformation, 2020

2019

Variable Rate Irrigation of Maize and Soybean in West-Central Nebraska Under Full and Deficit Irrigation.

J. Burdette Barker, Sandeep Bhatti, Derek M. Heeren, Christopher M. U. Neale, Daran R. Rudnick

Frontiers Big Data, 2019

2018

Evaluation of the Weak Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites.

Xinlei He, Tongren Xu, Sayed M. Bateni, Christopher M. U. Neale, Thomas Auligne, Shaomin Liu, Kaicun Wang, Kebiao Mao, Yunjun Yao

Remote. Sens., 2018

Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance.

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

Comput. Electron. Agric., 2018

2016

Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance.

Magali Odi-Lara, Isidro Campos, Christopher M. U. Neale, Samuel Ortega-Farías, Carlos Poblete-Echeverría, Claudio Balbontín, Alfonso Calera

Remote. Sens., 2016

1997

Monitoring land-surface snow conditions from SSM/I data using an artificial neural network classifier.

Changyi Sun, Christopher M. U. Neale, Jeffrey J. McDonnell, Heng-Da Cheng

IEEE Trans. Geosci. Remote. Sens., 1997

1995

Identification of mountain snow cover using SSM/I and artificial neural network.

Changyi Sun, Heng-Da Cheng, Jeffrey J. McDonnell, Christopher M. U. Neale

Proceedings of the 1995 International Conference on Acoustics, 1995