Agam, N., Evett, S. R., Tolk, J. A., Kustas, W. P., Colaizzi, P. D., Alfieri, J. G., McKee, L. G., Copeland, K. S., Howell, T. A., & Chávez, J. L. (2012). Evaporative loss from irrigated interrows in a highly advective semi-arid agricultural area. Advances in Water Resources, 50, 20–30. https://doi.org/10.1016/j.advwatres.2012.07.010
Allen, Richard G., Pereira, Luis S., Raes, Dirk & Smith, M. (1998). FAO Irrigation and Drainage Paper Crop by. Irrigation and Drainage, 300(56), 300. http://www.kimberly.uidaho.edu/water/fao56/fao56.pdf
Anderson, M. C., Norman, J. M., Diak, G. R., Kustas, W. P., & Mecikalski, J. R. (1997). A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing. Remote Sensing of Environment, 60(2), 195–216. https://doi.org/10.1016/S0034-4257(96)00215-5
Bagheri, M. H., Arshad, S., Majnuni, A., & Morid, S. (2012). A comparison of single-source and two-source energy fluxes models to estimate actual evapotranspiration in Tabriz Plain. Iranian Journal of RS and GIS, 4(1), 81–96. (In Persian)
Bahmanabadi, B., Kaviani, A., Daneshkar, A. P., & Nazari, R. (2019). Estimation of Actual Evapotranspiration Using Satellite Imageries and Single-Source and Two-Source Surface Energy Balance Algorithms in Qazvin Plain. Journal of Water Research in Agriculture, 32(2), 227-246. (In Persian)
Blyth, E. M., & Harding, R. J. (1995). Application of aggregation models to surface heat flux from the Sahelian tiger bush. Agricultural and Forest Meteorology, 72(3–4), 213–235. https://doi.org/10.1016/0168-1923(94)02164-F
Campbell, G. S., & Norman, J. M. (2000). An Introduction to Environmental Biophysics. Journal of Environmental Quality 6(4). Springer Science & Business Media. https://doi.org/10.2134/jeq1977.00472425000600040036x
Choi, M., Kustas, W. P., Anderson, M. C., Allen, R. G., Li, F., & Kjaersgaard, J. H. (2009). An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U.S.) during SMACEX. Agricultural and Forest Meteorology, 149(12), 2082–2097. https://doi.org/10.1016/j.agrformet.2009.07.002
Colaizzi, P. D., Agam, N., Tolk, J. A., Evett, S. R., Howell, T. A., Gowda, P. H., O’Shaughnessy, S. A., Kustas, W. P., & Anderson, M. C. (2014). Two-source energy balance model to calculate E, T, and ET: Comparison of priestley-taylor and penman-monteith formulations and two time scaling methods. Transactions of the ASABE, 57(2), 479–498. https://doi.org/10.13031/trans.57.10423
Diarra, A., Jarlan, L., Er-Raki, S., Le Page, M., Aouade, G., Tavernier, A., Boulet, G., Ezzahar, J., Merlin, O., & Khabba, S. (2017). Performance of the two-source energy budget (TSEB) model for the monitoring of evapotranspiration over irrigated annual crops in North Africa. Agricultural Water Management, 193, 71–88. https://doi.org/10.1016/j.agwat.2017.08.007
Er-Raki, S., Chehbouni, A., Boulet, G., & Williams, D. G. (2010). Using the dual approach of FAO-56 for partitioning ET into soil and plant components for olive orchards in a semi-arid region. Agricultural Water Management, 97(11), 1769–1778. https://doi.org/10.1016/j.agwat.2010.06.009
French, A. N., Jacob, F., Anderson, M. C., Kustas, W. P., Timmermans, W., Gieske, A., Su, Z., Su, H., McCabe, M. F., Li, F., Prueger, J., & Brunsell, N. (2005). Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA). Remote Sensing of Environment, 99(1–2), 55–65. https://doi.org/10.1016/j.rse.2005.05.015
Goudriaan, J. (1977). Crop micrometeorology: a simulation study (Doctoral dissertation, Wageningen University, Netherlands).
Hathaway, J. C. (2016). Integration of an unmanned aircraft system and ground-based remote sensing to estimate spatially distributed crop evapotranspiration and soil water deficit throughout the vegetation soil root zone (Doctoral dissertation, Colorado State University, Fort Collins).
Huntingford, C., Verhoef, A., & Stewart, J. (2000). Dual versus single source models for estimating surface temperature of African savannah. Hydrology and Earth System Sciences 4(1), pp. 185–191). https://doi.org/10.5194/hess-4-185-2000
Jiménez-Martínez, J., Skaggs, T. H., van Genuchten, M. T., & Candela, L. (2009). A root zone modelling approach to estimating groundwater recharge from irrigated areas. Journal of Hydrology, 367(1–2), 138–149. https://doi.org/10.1016/j.jhydrol.2009.01.002
Kool, D., Agam, N., Lazarovitch, N., Heitman, J. L., Sauer, T. J., & Ben-Gal, A. (2014). A review of approaches for evapotranspiration partitioning. Agricultural and Forest Meteorology, 184, 56–70. https://doi.org/10.1016/j.agrformet.2013.09.003
Kosari, H., Dehghanisanij, H., Mirzaei, F., & Liaghat, A. M. (2010). Evapotranspiration partitioning using the Bowen ratio energy balance method in a sub-surface drip irrigation system. Journal of Agricultural Engineering Research (Iran), 11(3), 71-86. (In Persian)
Kustas, W. P., & Daughtry, C. S. T. (1990). Estimation of the soil heat flux/net radiation ratio from spectral data. Agricultural and Forest Meteorology, 49(3), 205–223. https://doi.org/10.1016/0168-1923(90)90033-3
Kustas, W. P., & Norman, J. M. (1999). Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover. Agricultural and Forest Meteorology, 94(1), 13–29. https://doi.org/10.1016/S0168-1923(99)00005-2
Li, F., Kustas, W. P., Prueger, J. H., Neale, C. M. U., & Jackson, T. J. (2005). Utility of remote-sensing-based two-source energy balance model under low- and high-vegetation cover conditions. Journal of Hydrometeorology, 6(6), 878–891. https://doi.org/10.1175/JHM464.1
Li, X., Gentine, P., Lin, C., Zhou, S., Sun, Z., Zheng, Y., Liu, J., & Zheng, C. (2019). A simple and objective method to partition evapotranspiration into transpiration and evaporation at eddy-covariance sites. Agricultural and Forest Meteorology, 265(November 2018), 171–182. https://doi.org/10.1016/j.agrformet.2018.11.017
Liu, M., Shi, H., Paredes, P., Ramos, T. B., Dai, L., Feng, Z., & Pereira, L. S. (2022). Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model. Agricultural Water Management, 261(November 2021), 107362. https://doi.org/10.1016/j.agwat.2021.107362
Michel, D., Jiménez, C., Miralles, D. G., Jung, M., Hirschi, M., Ershadi, A., Martens, B., Mccabe, M. F., Fisher, J. B., Mu, Q., Seneviratne, S. I., Wood, E. F., & Fernández-Prieto, D. (2016). The WACMOS-ET project - Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms. Hydrology and Earth System Sciences, 20(2), 803–822. https://doi.org/10.5194/hess-20-803-2016
Miralles, D. G., Jiménez, C., Jung, M., Michel, D., Ershadi, A., Mccabe, M. F., Hirschi, M., Martens, B., Dolman, A. J., Fisher, J. B., Mu, Q., Seneviratne, S. I., Wood, E. F., & Fernández-Prieto, D. (2016). The WACMOS-ET project - Part 2: Evaluation of global terrestrial evaporation data sets. Hydrology and Earth System Sciences, 20(2), 823–842. https://doi.org/10.5194/hess-20-823-2016
Naseri, A., Abbasi, F., & Akbari, M. (2017). Estimating agricultural water consumption by analyzing water balance. Irrigation and Drainage Structures Engineering Research, 18(68), 17-32. (In Persian)
Norman, J. M., Kustas, W. P., & Humes, K. S. (1995). Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agricultural and Forest Meteorology, 77(3–4), 263–293. https://doi.org/10.1016/0168-1923(95)02265-Y
Norman, J. M., Kustas, W. P., Prueger, J. H., & Diak, G. R. (2000). Surface flux estimation using radiometric temperature: A dual-temperatare-difference method to minimize measurement errors. Water Resources Research, 36(8), 2263–2274. https://doi.org/10.1029/2000WR900033
Pereira, L. S., Allen, R. G., Smith, M., & Raes, D. (2015). Crop evapotranspiration estimation with FAO56: Past and future. Agricultural Water Management, 147, 4-20. https://doi.org/10.1016/j.agwat.2014.07.031
Pereira, L. S., Paredes, P., & Jovanovic, N. (2020). Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach. Agricultural Water Management, 241(June), 106357. https://doi.org/10.1016/j.agwat.2020.106357
Rafi, Z., Merlin, O., Le Dantec, V., Khabba, S., Mordelet, P., Er-Raki, S., Amazirh, A., Olivera-Guerra, L., Ait Hssaine, B., Simonneaux, V., Ezzahar, J., & Ferrer, F. (2019). Partitioning evapotranspiration of a drip-irrigated wheat crop: Inter-comparing eddy covariance-, sap flow-, lysimeter- and FAO-based methods. Agricultural and Forest Meteorology, 265(November 2018), 310–326. https://doi.org/10.1016/j.agrformet.2018.11.031
Richards, F. J. (1959). A flexible growth function for empirical use. Journal of Experimental Botany, 10(2), 290–301. https://doi.org/10.1093/jxb/10.2.290
Ritchie, J. T. (1972). Model for predicting evaporation from a row crop with incomplete cover. Water Resources Research, 8(5), 1204–1213. https://doi.org/10.1029/WR008i005p01204
Sánchez, J. M., López-Urrea, R., Rubio, E., González-Piqueras, J., & Caselles, V. (2014). Assessing crop coefficients of sunflower and canola using two-source energy balance and thermal radiometry. Agricultural water management, 137, 23-29. https://doi.org/10.1016/j.agwat.2014.02.002
Santanello, J. A., & Friedl, M. A. (2003). Diurnal covariation in soil heat flux and net radiation. Journal of Applied Meteorology, 42(6), 851–862. https://doi.org/10.1175/1520-0450(2003)042<0851:DCISHF>2.0.CO;2
Santos, F. L. (2018). Assessing olive evapotranspiration partitioning from soil water balance and radiometric soil and canopy temperatures. Agronomy, 8(4), 43. https://doi.org/10.3390/agronomy8040043
Schlesinger, W. H., & Jasechko, S. (2014). Transpiration in the global water cycle. Agricultural and Forest Meteorology, 189–190, 115–117. https://doi.org/10.1016/j.agrformet.2014.01.011
Song, L., Liu, S., Zhang, X., Zhou, J., & Li, M. (2015). Estimating and validating soil evaporation and crop transpiration during the HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12(2), 334–338. https://doi.org/10.1109/LGRS.2014.2339360
Tanner, C. B., & Jury, W. A. (1976). Estimating Evaporation and Transpiration from a Row Crop during Incomplete Cover 1 . Agronomy Journal, 68(2), 239–243. https://doi.org/10.2134/agronj1976.00021962006800020007x
Timmermans, W. J., Kustas, W. P., Anderson, M. C., & French, A. N. (2007). An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes. Remote Sensing of Environment, 108(4), 369–384. https://doi.org/10.1016/j.rse.2006.11.028
Van Halsema, G. E., & Vincent, L. (2012). Efficiency and productivity terms for water management: A matter of contextual relativism versus general absolutism. Agricultural Water Management, 108, 9–15. https://doi.org/10.1016/j.agwat.2011.05.016
Wang, K., & Dickinson, R. E. (2012). A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability. Reviews of Geophysics, 50(RG2005), 1–54. https://doi.org/10.1029/2011RG000373.1.INTRODUCTION
Wei, Z., Paredes, P., Liu, Y., Chi, W. W., & Pereira, L. S. (2015). Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain. Agricultural water management, 147, 43-53. https://doi.org/10.1016/j.agwat.2014.05.004
Wilcox, B. P., Seyfried, M. S., & Breshears, D. D. (2003). The water balance on rangelands. Encyclopaedia of Water Science, 2, 791–794. https://doi.org/10.1081/E-EWS
Williams, D. G., Cable, W., Hultine, K., Hoedjes, J. C. B., Yepez, E. A., Simonneaux, V., Er-Raki, S., Boulet, G., De Bruin, H. A. R., Chehbouni, A., Hartogensis, O. K., & Timouk, F. (2004). Evapotranspiration components determined by stable isotope, sap flow and eddy covariance techniques. Agricultural and Forest Meteorology, 125(3–4), 241–258. https://doi.org/10.1016/j.agrformet.2004.04.008
Wolff, W., Francisco, J. P., Flumignan, D. L., Marin, F. R., & Folegatti, M. V. (2022). Optimized algorithm for evapotranspiration retrieval via remote sensing. Agricultural Water Management, 262(May 2021). https://doi.org/10.1016/j.agwat.2021.107390
Yang, Y., Qiu, J., Zhang, R., Huang, S., Chen, S., Wang, H., Luo, J., & Fan, Y. (2018). Intercomparison of three two-source energy balance models for partitioning evaporation and transpiration in semiarid climates. Remote Sensing, 10(7). https://doi.org/10.3390/rs10071149
Zhou, S., Yu, B., Zhang, Y., Huang, Y., & Wang, G. (2016). Partitioning evapotranspiration based on the concept of underlying water use efficiency. Water Resources Research, 52(2), 1160–1175. https://doi.org/10.1111/j.1752-1688.1969.tb04897.x
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