Articles | Volume 28, issue 16
https://doi.org/10.5194/hess-28-3799-2024
https://doi.org/10.5194/hess-28-3799-2024
Technical note
 | 
22 Aug 2024
Technical note |  | 22 Aug 2024

Technical note: Investigating the potential for smartphone-based monitoring of evapotranspiration and land surface energy-balance partitioning

Adriaan J. Teuling, Belle Holthuis, and Jasper F. D. Lammers

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Cited articles

Allen, R. G., Pereira, L. S., Howell, T. A., and Jensen, M. E.: Evapotranspiration information reporting: I. Factors governing measurement accuracy, Agr. Water Manage., 98, 899–920, 2011. 
Al-Taani, H. and Arabasi, S.: Solar irradiance measurements using smart devices: A cost-effective technique for estimation of solar irradiance for sustainable energy systems, Sustainability-Basel, 10, 508, https://doi.org/10.3390/su10020508, 2018. 
Amani, S. and Shafizadeh-Moghadam, H.: A review of machine learning models and influential factors for estimating evapotranspiration using remote sensing and ground-based data, Agr. Water Manage., 284, 108324, https://doi.org/10.1016/j.agwat.2023.108324, 2023. 
Bayat, B., Raj, R., Graf, A., Vereecken, H., and Montzka, C.: Comprehensive accuracy assessment of long-term geostationary SEVIRI-MSG evapotranspiration estimates across Europe, Remote Sens. Environ., 301, 113875, https://doi.org/10.1016/j.rse.2023.113875, 2024. 
Cheng, M., Jiao, X., Li, B., Yu, X., Shao, M., and Jin, X.: Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation, Earth Syst. Sci. Data, 13, 3995–4017, https://doi.org/10.5194/essd-13-3995-2021, 2021. 
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Short summary
The understanding of spatio-temporal variability of evapotranspiration (ET) is currently limited by a lack of measurement techniques that are low cost and that can be applied anywhere at any time. Here we show that evapotranspiration can be estimated accurately using observations made by smartphone sensors, suggesting that smartphone-based ET monitoring could provide a realistic and low-cost alternative for real-time ET estimation in the field.
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