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Mac McKee - Publications

Affiliations: 
Civil and Environmental Utah State University, Logan, UT, United States 
Area:
Agricultural Engineering, Behavioral Psychology, Statistics
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54 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Nassar A, Torres-Rua A, Kustas W, Nieto H, McKee M, Hipps L, Stevens D, Alfieri J, Prueger J, Alsina MM, McKee L, Coopmans C, Sanchez L, Dokoozlian N. Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards. Remote Sensing. 12: 342. PMID 32355571 DOI: 10.3390/Rs12030342  0.419
2020 Aboutalebi M, Torres-Rua AF, McKee M, Kustas WP, Nieto H, Alsina MM, White A, Prueger JH, McKee L, Alfieri J, Hipps L, Coopmans C, Dokoozlian N. Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models. Remote Sensing. 12: 50. PMID 32355570 DOI: 10.3390/Rs12010050  0.403
2019 Nieto H, Kustas WP, Torres-Rúa A, Alfieri JG, Gao F, Anderson MC, White WA, Song L, Del Mar Alsina M, Prueger JH, McKee M, Elarab M, McKee LG. Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrigation Science. 37: 389-406. PMID 32355404 DOI: 10.1007/S00271-018-0585-9  0.364
2018 Aboutalebi M, Torres-Rua AF, Kustas WP, Nieto H, Coopmans C, McKee M. Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration. Irrigation Science. 1: 1-23. PMID 31031514 DOI: 10.1007/S00271-018-0613-9  0.351
2018 Kustas WP, Anderson MC, Alfieri JG, Knipper K, Torres-Rua A, Parry CK, Nieto H, Agam N, White WA, Gao F, McKee L, Prueger JH, Hipps LE, Los S, Alsina MM, ... ... McKee M, et al. The Grape Remote Sensing Atmospheric Profile and Evapotranspiration Experiment Bulletin of the American Meteorological Society. 99: 1791-1812. DOI: 10.1175/Bams-D-16-0244.1  0.434
2017 Hassan-Esfahani L, Ebtehaj AM, Torres-Rua A, McKee M. Spatial Scale Gap Filling Using an Unmanned Aerial System: A Statistical Downscaling Method for Applications in Precision Agriculture. Sensors (Basel, Switzerland). 17. PMID 28906428 DOI: 10.3390/S17092106  0.362
2017 Hassan-Esfahani L, Torres-Rua A, Jensen A, Mckee M. Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian-Based Artificial Neural Networks and High- Resolution Visual, NIR, and Thermal Imagery Irrigation and Drainage. 66: 273-288. DOI: 10.1002/Ird.2098  0.459
2016 Torres-Rua AF, Ticlavilca AM, Bachour R, McKee M. Estimation of surface soil moisture in irrigated lands by assimilation of landsat vegetation indices, surface energy balance products, and Relevance Vector Machines Water (Switzerland). 8. DOI: 10.3390/W8040167  0.78
2016 Bachour R, Maslova I, Ticlavilca AM, Walker WR, McKee M. Wavelet-multivariate relevance vector machine hybrid model for forecasting daily evapotranspiration Stochastic Environmental Research and Risk Assessment. 30: 103-117. DOI: 10.1007/S00477-015-1039-Z  0.803
2016 Maslova I, Ticlavilca AM, Mckee M. Adjusting wavelet-based multiresolution analysis boundary conditions for long-term streamflow forecasting Hydrological Processes. 30: 57-74. DOI: 10.1002/Hyp.10564  0.797
2015 Andriyas S, McKee M. Development of a Bayesian Belief Network Model Framework for Analyzing Farmers’ Irrigation Behavior Journal of Agricultural Science. 7. DOI: 10.5539/Jas.V7N7P1  0.794
2015 Hassan-Esfahani L, Torres-Rua AF, Jensen AM, McKee M. Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks Remote Sensing. 7: 2627-2646. DOI: 10.3390/Rs70302627  0.41
2015 Elarab M, Ticlavilca AM, Torres-Rua AF, Maslova I, McKee M. Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture International Journal of Applied Earth Observation and Geoinformation. 43: 32-42. DOI: 10.1016/J.Jag.2015.03.017  0.779
2015 Hassan-Esfahani L, Torres-Rua A, McKee M. Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data Agricultural Water Management. 153: 42-50. DOI: 10.1016/J.Agwat.2015.02.005  0.447
2014 Zaman B, McKee M. Spatio-Temporal Prediction of Root Zone Soil Moisture Using Multivariate Relevance Vector Machines Open Journal of Modern Hydrology. 4: 80-90. DOI: 10.4236/Ojmh.2014.43007  0.382
2014 Jensen A, Clemens SR, McKee M, Zaman B. Retrieval of Spectral Reflectance of High Resolution Multispectral Imagery Acquired with an Autonomous Unmanned Aerial Vehicle Photogrammetric Engineering & Remote Sensing. 80: 1139-1150. DOI: 10.14358/Pers.80.12.1139  0.328
2014 Basdekas L, Bastidas LA, Hardy TB, Caplan AJ, McKee M. Virgin River multi-objective optimization: Maximizing endangered fish habitat and minimizing costs International Journal of River Basin Management. 12: 15-28. DOI: 10.1080/15715124.2013.879592  0.363
2014 Bachour R, Walker WR, Ticlavilca AM, McKee M, Maslova I. Estimation of spatially distributed evapotranspiration using remote sensing and a relevance vector machine Journal of Irrigation and Drainage Engineering. 140. DOI: 10.1061/(Asce)Ir.1943-4774.0000754  0.792
2014 Khader AI, McKee M. Use of a relevance vector machine for groundwater quality monitoring network design under uncertainty Environmental Modelling and Software. 57: 115-126. DOI: 10.1016/J.Envsoft.2014.02.015  0.698
2014 Andriyas S, McKee M. Exploring irrigation behavior at Delta, Utah using hidden Markov models Agricultural Water Management. 143: 48-58. DOI: 10.1016/J.Agwat.2014.06.010  0.789
2013 Khader AI, Rosenberg DE, McKee M. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network Hydrology and Earth System Sciences. 17: 1797-1807. DOI: 10.5194/Hess-17-1797-2013  0.669
2013 Bachour R, Walker WR, Torres-Rua AF, McKee M. Assessment of reference evapotranspiration by the hargreaves method in the Bekaa Valley, Lebanon Journal of Irrigation and Drainage Engineering. 139: 933-938. DOI: 10.1061/(Asce)Ir.1943-4774.0000646  0.316
2013 Andriyas S, McKee M. Recursive partitioning techniques for modeling irrigation behavior Environmental Modelling and Software. 47: 207-217. DOI: 10.1016/J.Envsoft.2013.05.011  0.797
2013 Ticlavilca AM, McKee M, Walker WR. Real-time forecasting of short-term irrigation canal demands using a robust multivariate Bayesian learning model Irrigation Science. 31: 151-167. DOI: 10.1007/S00271-011-0300-6  0.806
2012 Zaman B, McKee M, Neale CMU. Fusion of remotely sensed data for soil moisture estimation using relevance vector and support vector machines International Journal of Remote Sensing. 33: 6516-6552. DOI: 10.1080/01431161.2012.690540  0.473
2012 Torres-Rua AF, Ticlavilca AM, Walker WR, McKee M. Machine learning approaches for error correction of hydraulic simulation models for canal flow schemes Journal of Irrigation and Drainage Engineering. 138: 999-1010. DOI: 10.1061/(Asce)Ir.1943-4774.0000489  0.784
2011 Pande S, Bastidas LA, Bhulai S, McKee M. Parameter-dependent convergence bounds and complexity measure for a class of conceptual hydrological models Journal of Hydroinformatics. 14: 443-463. DOI: 10.2166/Hydro.2011.005  0.621
2011 Ammar K, McKee M, Kaluarachchi J. Bayesian Method for Groundwater Quality Monitoring Network Analysis Journal of Water Resources Planning and Management. 137: 51-61. DOI: 10.1061/(Asce)Wr.1943-5452.0000043  0.71
2011 Torres AF, Walker WR, McKee M. Forecasting daily potential evapotranspiration using machine learning and limited climatic data Agricultural Water Management. 98: 553-562. DOI: 10.1016/J.Agwat.2010.10.012  0.482
2011 Ticlavilca AM, McKee M. Multivariate Bayesian Regression Approach to Forecast Releases from a System of Multiple Reservoirs Water Resources Management. 25: 523-543. DOI: 10.1007/S11269-010-9712-Y  0.813
2010 Flake J, Moon TK, McKee M, Gunther JH. Application of the relevance vector machine to canal flow prediction in the Sevier River Basin Agricultural Water Management. 97: 208-214. DOI: 10.1016/J.Agwat.2009.09.010  0.485
2009 Pande S, McKee M, Bastidas LA. Complexity-based robust hydrologic prediction Water Resources Research. 45. DOI: 10.1029/2008Wr007524  0.616
2008 Chao H, Baumann M, Jensen A, Chen Y, Cao Y, Ren W, McKee M. Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control Ifac Proceedings Volumes. 41: 11744-11749. DOI: 10.3182/20080706-5-Kr-1001.01989  0.331
2008 Kaheil YH, Rosero E, Gill MK, McKee M, Bastidas LA. Downscaling and forecasting of evapotranspiration using a synthetic model of wavelets and support vector machines Ieee Transactions On Geoscience and Remote Sensing. 46: 2692-2707. DOI: 10.1109/Tgrs.2008.919819  0.779
2008 Kaheil YH, Gill MK, McKee M, Bastidas LA, Rosero E. Downscaling and assimilation of surface soil moisture using ground truth measurements Ieee Transactions On Geoscience and Remote Sensing. 46: 1375-1384. DOI: 10.1109/Tgrs.2008.916086  0.776
2008 Ammar K, Khalil A, McKee M, Kaluarachchi J. Bayesian deduction for redundancy detection in groundwater quality monitoring networks Water Resources Research. 44. DOI: 10.1029/2006Wr005616  0.734
2007 Lee NK, Sowa H, Hinoi E, Ferron M, Ahn JD, Confavreux C, Dacquin R, Mee PJ, McKee MD, Jung DY, Zhang Z, Kim JK, Mauvais-Jarvis F, Ducy P, Karsenty G. Endocrine regulation of energy metabolism by the skeleton. Cell. 130: 456-69. PMID 17693256 DOI: 10.1016/J.Cell.2007.05.047  0.32
2007 Kashif Gill M, Kemblowski MW, McKee M. Soil Moisture Data Assimilation Using Support Vector Machines and Ensemble Kalman Filter Journal of the American Water Resources Association. 43: 1004-1015. DOI: 10.1111/J.1752-1688.2007.00082.X  0.422
2007 Gill MK, Asefa T, Kaheil Y, McKee M. Effect of missing data on performance of learning algorithms for hydrologic predictions: Implications to an imputation technique Water Resources Research. 43. DOI: 10.1029/2006Wr005298  0.793
2007 Pande S, McKee M. Valuing certainty in a consensus-based water allocation mechanism Water Resources Research. 43. DOI: 10.1029/2004Wr003890  0.601
2006 Gill MK, Asefa T, Kemblowski MW, McKee M. Soil moisture prediction using support vector machines Journal of the American Water Resources Association. 42: 1033-1046. DOI: 10.1111/J.1752-1688.2006.Tb04512.X  0.556
2006 Kaheil YH, Gill MK, McKee M, Bastidas L. A new Bayesian recursive technique for parameter estimation Water Resources Research. 42. DOI: 10.1029/2005Wr004529  0.789
2006 Gill MK, Kaheil YH, Khalil A, McKee M, Bastidas L. Multiobjective particle swarm optimization for parameter estimation in hydrology Water Resources Research. 42. DOI: 10.1029/2005Wr004528  0.784
2006 Ghabayen SM, McKee M, Kemblowski M. Ionic and isotopic ratios for identification of salinity sources and missing data in the Gaza aquifer Journal of Hydrology. 318: 360-373. DOI: 10.1016/J.Jhydrol.2005.06.041  0.413
2006 Asefa T, Kemblowski M, McKee M, Khalil A. Multi-time scale stream flow predictions: The support vector machines approach Journal of Hydrology. 318: 7-16. DOI: 10.1016/J.Jhydrol.2005.06.001  0.428
2006 Khalil AF, McKee M, Kemblowski M, Asefa T, Bastidas L. Multiobjective analysis of chaotic dynamic systems with sparse learning machines Advances in Water Resources. 29: 72-88. DOI: 10.1016/J.Advwatres.2005.05.011  0.68
2005 Asefa T, Kemblowski M, Urroz G, McKee M. Support vector machines (SVMs) for monitoring network design. Ground Water. 43: 413-22. PMID 15882333 DOI: 10.1111/J.1745-6584.2005.0050.X  0.414
2005 Khalil AF, McKee M, Kemblowski M, Asefa T. BASIN SCALE WATER MANAGEMENT AND FORECASTING USING ARTIFICIAL NEURAL NETWORKS Journal of the American Water Resources Association. 41: 195-208. DOI: 10.1111/J.1752-1688.2005.Tb03728.X  0.418
2005 Khalil A, McKee M, Kemblowski M, Asefa T. Sparse Bayesian learning machine for real-time management of reservoir releases Water Resources Research. 41. DOI: 10.1029/2004Wr003891  0.497
2005 Khalil A, Almasri MN, McKee M, Kaluarachchi JJ. Applicability of statistical learning algorithms in groundwater quality modeling Water Resources Research. 41: 1-16. DOI: 10.1029/2004Wr003608  0.469
2005 Shu Q, Kemblowski MW, McKee M. An application of Ensemble Kalman Filter in integral-balance subsurface modeling Stochastic Environmental Research and Risk Assessment. 19: 361-374. DOI: 10.1007/S00477-005-0242-8  0.392
2004 Asefa T, Kemblowski MW, Urroz G, McKee M, Khalil A. Support vectors-based groundwater head observation networks design Water Resources Research. 40. DOI: 10.1029/2004Wr003304  0.412
2004 Ghabayen S, McKee M, Kemblowski M. Characterization of uncertainties in the operation and economics of the proposed seawater desalination plant in the Gaza Strip Desalination. 161: 191-201. DOI: 10.1016/S0011-9164(04)90054-9  0.772
2000 McKee MD, Kim J, Kebaish K, Stephen DJ, Kreder HJ, Schemitsch EH. Functional outcome after open supracondylar fractures of the humerus. The effect of the surgical approach. The Journal of Bone and Joint Surgery. British Volume. 82: 646-51. PMID 10963158  0.344
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