Articles | Volume 28, issue 21
https://doi.org/10.5194/hess-28-4797-2024
https://doi.org/10.5194/hess-28-4797-2024
Research article
 | 
30 Oct 2024
Research article |  | 30 Oct 2024

Assessment of upscaling methodologies for daily crop transpiration using sap flows and two-source energy balance models in almonds under different water statuses and production systems

Manuel Quintanilla-Albornoz, Xavier Miarnau, Ana Pelechá, Héctor Nieto, and Joaquim Bellvert

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Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
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Cited articles

Alarcón, J., Ortuño, M., Nicolás, E., Torres, R., and Torrecillas, A.: Compensation heat-pulse measurements of sap flow for estimating transpiration in young lemon trees, Biol. Plant. 49, 527–532, https://doi.org/10.1007/s10535-005-0046-1, 2005. 
Allen, R., Pereira, L., Raes, D., and Smith, M.: Crops evapotranspiration: guidelines forcomputing crop water requirements. FAO Irrigation and Drainage Paper No. 56.FAO, Rome, Italy, 300, ISBN 92-5-104219-5, https://www.fao.org/4/x0490e/x0490e00.htm (last access: 13 December 2023), 1998. 
Allen, R., Tasumi, M., Morse, A., Trezza, R., Wright, J., Bastiaanssen, W., Kramber, W., Lorite, I., and Robison, C. W.: Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC) – Applications, J. Irrig. Drain. Eng., 133, 395–406, https://doi.org/10.1061/(asce)0733-9437(2007)133:4(395), 2007. 
Anderson, M., Norman, J., Diak, G., Kustas, W., and Mecikalski, J.: A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing, Remote Sens. Environ., 60, 195–216, https://doi.org/10.1016/S0034-4257(96)00215-5, 1997. 
Anderson, M., Yang, Y., Xue, J., Knipper, K., Yang, Y., Gao, F., Hain, C., Kustas, W., Cawse-Nicholson, K., Hulley, G., Fisher, J., Alfieri, J., Meyers, T., Prueger, J., Baldocchi, D., and Rey-Sanchez, C.: Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales, Remote Sens. Environ., 252, 112189, https://doi.org/10.1016/j.rse.2020.112189, 2021. 
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Short summary
Remote sensing can be a helpful tool for monitoring crop transpiration (T) for agricultural water management. Since remote sensing provides instantaneous data, upscaling techniques are required to estimate T on a daily scale. This study assesses optimal image acquisition times and four upscaling approaches to estimate daily T. The results indicate that the main errors derive from measurement time and water stress levels, which can be mitigated by choosing a proper upscaling approach.