Crop Water Use and Crop Coefficients of Maize in the Great Plains von Trout, Thomas J, DeJonge, Kendall C

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Evapotranspiration and Water Stress Coefficient for Deficit-Irrigated Maize von Trout, Thomas J, DeJonge, Kendall C

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Water productivity of maize in the US high plains von Trout, Thomas J., DeJonge, Kendall C.

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Optimal Water Allocation under Deficit Irrigation in the Context of Colorado Water Law von Mahmoudzadeh Varzi, Manijeh, Trout, Thomas J, DeJonge, Kendall C, Oad, Ramchand

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Comparison of canopy temperature-based water stress indices for maize von DeJonge, Kendall C., Taghvaeian, Saleh, Trout, Thomas J., Comas, Louise H.

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Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients von Kullberg, Emily G., DeJonge, Kendall C., Chávez, José L.

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Conventional and simplified canopy temperature indices predict water stress in sunflower von Taghvaeian, Saleh, Comas, Louise, DeJonge, Kendall C., Trout, Thomas J.

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Crop water stress index computation approaches and their sensitivity to soil water dynamics von Katimbo, Abia, Rudnick, Daran R., DeJonge, Kendall C., Lo, Tsz Him, Qiao, Xin, Franz, Trenton E., Nakabuye, Hope Njuki, Duan, Jiaming

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Estimating maize water stress by standard deviation of canopy temperature in thermal imagery von Han, Ming, Zhang, Huihui, DeJonge, Kendall C., Comas, Louise H., Trout, Thomas J.

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Global sensitivity and uncertainty analysis of nitrate leaching and crop yield simulation under different water and nitrogen management practices von Liang, Hao, Qi, Zhiming, DeJonge, Kendall C., Hu, Kelin, Li, Baoguo

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Customizing pyfao56 for evapotranspiration estimation and irrigation scheduling at the Limited Irrigation Research Farm (LIRF), Greeley, Colorado von DeJonge, Kendall C., Thorp, Kelly R., Brekel, Josh, Pokoski, Tyler, Trout, Thomas J.

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Global sensitivity and uncertainty analysis of a dynamic agroecosystem model under different irrigation treatments von DeJonge, Kendall C., Ascough, James C., Ahmadi, Mehdi, Andales, Allan A., Arabi, Mazdak

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Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment von Nakabuye, Hope Njuki, Rudnick, Daran, DeJonge, Kendall C., Lo, Tsz Him, Heeren, Derek, Qiao, Xin, Franz, Trenton E., Katimbo, Abia, Duan, Jiaming

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Physiological trait networks enhance understanding of crop growth and water use in contrasting environments von Gleason, Sean M., Barnard, Dave M., Green, Timothy R., Mackay, Scott, Wang, Diane R., Ainsworth, Elizabeth A., Altenhofen, Jon, Brodribb, Timothy J., Cochard, Hervé, Comas, Louise H., Cooper, Mark, Creek, Danielle, DeJonge, Kendall C., Delzon, Sylvain, Fritschi, Felix B., Hammer, Graeme, Hunter, Cameron, Lombardozzi, Danica, Messina, Carlos D., Ocheltree, Troy, Stevens, Bo Maxwell, Stewart, Jared J., Vadez, Vincent, Wenz, Joshua, Wright, Ian J., Yemoto, Kevin, Zhang, Huihui

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Version 1.2.0 — pyfao56: FAO-56 evapotranspiration in Python von Thorp, Kelly R., Brekel, Josh, DeJonge, Kendall C.

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Wildfire and climate change amplify knowledge gaps linking mountain source-water systems and agricultural water supply in the western United States von Barnard, David M., Green, Timothy R., Mankin, Kyle R., DeJonge, Kendall C., Rhoades, Charles C., Kampf, Stephanie K., Giovando, Jeremy, Wilkins, Mike J., Mahood, Adam L., Sears, Megan G., Comas, Louise H., Gleason, Sean M., Zhang, Huihui, Fassnacht, Steven R., Harmel, R. Daren, Altenhofen, Jon

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Leaf temperature of maize and Crop Water Stress Index with variable irrigation and nitrogen supply von Carroll, David A., Hansen, Neil C., Hopkins, Bryan G., DeJonge, Kendall C.

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Weather data-centric prediction of maize non-stressed canopy temperature in semi-arid climates for irrigation management von Nakabuye, Hope Njuki, Rudnick, Daran R., DeJonge, Kendall C., Ascough, Katherine, Liang, Wei-zhen, Lo, Tsz Him, Franz, Trenton E., Qiao, Xin, Katimbo, Abia, Duan, Jiaming

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Multisite-multivariable sensitivity analysis of distributed watershed models: Enhancing the perceptions from computationally frugal methods von Ahmadi, Mehdi, Ascough, James C., DeJonge, Kendall C., Arabi, Mazdak

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Utilizing digital image processing and two-source energy balance model for the estimation of evapotranspiration of dry edible beans in western Nebraska von Liang, Wei-zhen, Possignolo, Isabella, Qiao, Xin, DeJonge, Kendall, Irmak, Suat, Heeren, Derek, Rudnick, Daran

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