Christopher M. U. Neale

13 papers Misc 1Journal 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Combining Multi-View UAV Photogrammetry, Thermal Imaging, and Computer Vision Can Derive Cost-Effective Ecological Indicators for Habitat Assessment.
Remote. Sens.
Qiao Hu, Ligang Zhang, Jeff Drahota, Wayne Woldt, Dana Varner, Andy Bishop, Ted LaGrange, Christopher M. U. Neale, Zhenghong Tang
2023 J jnl
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i.
Eng. Appl. Artif. Intell.
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Saro Lee, Changhyun Jun, Clay Trauernicht, Christopher M. U. Neale
2022 J jnl
Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize.
Sensors
Jasreman Singh, Yufeng Ge, Derek M. Heeren, Elizabeth Walter-Shea, Christopher M. U. Neale, Suat Irmak, Mitchell S. Maguire
2021 J jnl
Evaluating the Latest IMERG Products in a Subtropical Climate: The Case of Paraná State, Brazil.
Remote. Sens.
Jéssica G. Nascimento, Daniel Althoff, Helizani Couto Bazame, Christopher M. U. Neale, Sérgio N. Duarte, Anderson L. Ruhoff, Ivo Z. Gonçalves
2021 J jnl
Improving Accuracy of Unmanned Aerial System Thermal Infrared Remote Sensing for Use in Energy Balance Models in Agriculture Applications.
Remote. Sens.
Mitchell S. Maguire, Christopher M. U. Neale, Wayne E. Woldt
2020 J jnl
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.
Leonardo Laipelt, Anderson L. Ruhoff, Ayan Santos Fleischmann, Rafael Henrique Bloedow Kayser, Elisa de Mello Kich, Humberto Ribeiro da Rocha, Christopher M. U. Neale
2020 J jnl
Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil.
Int. J. Appl. Earth Obs. Geoinformation
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
2019 J jnl
Variable Rate Irrigation of Maize and Soybean in West-Central Nebraska Under Full and Deficit Irrigation.
Frontiers Big Data
J. Burdette Barker, Sandeep Bhatti, Derek M. Heeren, Christopher M. U. Neale, Daran R. Rudnick
2018 J jnl
Evaluation of the Weak Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites.
Remote. Sens.
Xinlei He, Tongren Xu, Sayed M. Bateni, Christopher M. U. Neale, Thomas Auligne, Shaomin Liu, Kaicun Wang, Kebiao Mao, Yunjun Yao
2018 J jnl
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.
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
2016 J jnl
Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance.
Remote. Sens.
Magali Odi-Lara, Isidro Campos, Christopher M. U. Neale, Samuel Ortega-Farías, Carlos Poblete-Echeverría, Claudio Balbontín, Alfonso Calera
1997 J jnl
Monitoring land-surface snow conditions from SSM/I data using an artificial neural network classifier.
IEEE Trans. Geosci. Remote. Sens.
Changyi Sun, Christopher M. U. Neale, Jeffrey J. McDonnell, Heng-Da Cheng
1995 Misc conf
Identification of mountain snow cover using SSM/I and artificial neural network.
ICASSP
Changyi Sun, Heng-Da Cheng, Jeffrey J. McDonnell, Christopher M. U. Neale