Kendall DeJonge, Ph.D.
Affiliations: | 2011 | Civil & Environmental Engineering | Colorado State University, Fort Collins, CO |
Area:
Agricultural Engineering, Civil EngineeringGoogle:
"Kendall DeJonge"Parents
Sign in to add mentorAllan A. Andales | grad student | 2011 | Colorado State | |
(Evaluation and improvement of ceres-maize evapotranspiration simulations under full and limited irrigation treatments in northern Colorado.) |
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Publications
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Gleason SM, Barnard DM, Green TR, et al. (2022) Physiological trait networks enhance understanding of crop growth and water use in contrasting environments. Plant, Cell & Environment |
Comas LH, Trout TJ, Banks GT, et al. (2018) USDA-ARS Colorado maize growth and development, yield and water-use under strategic timing of irrigation, 2012-2013. Data in Brief. 21: 1227-1231 |
DeJonge KC, Mefford BS, Chávez JL. (2016) Assessing corn water stress using spectral reflectance International Journal of Remote Sensing. 37: 2294-2312 |
Han M, Zhang H, DeJonge KC, et al. (2016) Estimating maize water stress by standard deviation of canopy temperature in thermal imagery Agricultural Water Management. 177: 400-409 |
Mkhwanazi M, Chávez JL, Andales AA, et al. (2015) SEBAL-A: A remote sensing ET algorithm that accounts for advection with limited data. Part II: Test for transferability Remote Sensing. 7: 15068-15081 |
Kinzli KD, Gensler D, DeJonge K, et al. (2015) Validation of a decision support system for improving irrigation system performance Journal of Irrigation and Drainage Engineering. 141 |
DeJonge KC, Taghvaeian S, Trout TJ, et al. (2015) Comparison of canopy temperature-based water stress indices for maize Agricultural Water Management. 156: 51-62 |
Trout TJ, Dejonge KC. (2015) Does Deficit irrigation of field crops increase water productivity? Joint Asabe/Ia Irrigation Symposium 2015: Emerging Technologies For Sustainable Irrigation. 386-393 |
Ahmadi M, Ascough JC, DeJonge KC, et al. (2014) Multisite-multivariable sensitivity analysis of distributed watershed models: Enhancing the perceptions from computationally frugal methods Ecological Modelling. 279: 54-67 |
Taghvaeian S, Comas L, DeJonge KC, et al. (2014) Conventional and simplified canopy temperature indices predict water stress in sunflower Agricultural Water Management. 144: 69-80 |